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  • - blg + blg
  • poc diff --git a/_site/about/index.html b/_site/about/index.html index 15a648e..060f09d 100644 --- a/_site/about/index.html +++ b/_site/about/index.html @@ -20,7 +20,7 @@ hme
  • - blg + blg
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    - Site structure:
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    Email: sadeep@asciimx.com [GPG]

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    diff --git a/_site/archive/arduino-due/connections.jpeg b/_site/archive/arduino-due/connections.jpeg deleted file mode 100644 index 081e6d4..0000000 Binary files a/_site/archive/arduino-due/connections.jpeg and /dev/null differ diff --git a/_site/archive/arduino-due/index.html b/_site/archive/arduino-due/index.html deleted file mode 100644 index e146957..0000000 --- a/_site/archive/arduino-due/index.html +++ /dev/null @@ -1,172 +0,0 @@ - - - - - How to set up ATSAM3X8E microcontrollers for bare-metal programming in C - - - - - How to set up ATSAM3X8E microcontrollers for bare-metal programming in C - - - - - - - - - -

    - - - -
    -
    -
    -

    HOW TO SET UP ATSAM3X8E MICROCONTROLLERS FOR BARE-METAL PROGRAMMING IN C

    -
    05 OCTOBER 2024
    -
    -

    This article is a step-by-step guide for programming bare-metal ATSAM3X8E chips -found on Arduino Due boards. It also includes notes on the chip’s memory layout -relevant for writing linker scripts. The steps described in this article were -tested on an OpenBSD workstation.

    - -

    Toolchain

    - -

    To interact directly with a bare-metal ATSAM3X8E chips, we must bypass the -embedded bootloader. To do that, we need a hardware programmer capable of -communicating with the chip over the Serial Wire Debug (SWD) protocol. Since -the workstation we upload the program from presumably doesn’t speak SWD, the -hardware programmer acts as a SWD-USB adapter. The ST-LINK/V2 programmer fits this -bill.

    - -

    The OpenOCD on-chip debugger software supports -ATSAM3X8E chips. OpenOCD, on startup, runs a telnet server that we can connect to -to issue commands to the ATSAM3X8E chip. OpenOCD translates plain-text commands -into the binary sequences the chip understands, and sends them over the wire.

    - -

    Finally, we need the ARM GNU Compiler -Toolchain to compile C programs for the chip. The ARM GNU compiler -toolchain and OpenOCD, as a consequence of being free software, are available -on every conceivable platform, including OpenBSD.

    - -

    Electrical connections

    - -

    The following photos illustrate the electrical connections between the Arduino -Due, PC, and the ST-LINK/V2 programmer required to transfer a compiled program -from a PC to the MCU.

    - - - - - - -
    - Pinout -

    Wiring

    -
    - Circuit -

    Arduino Due

    -
    - -

    Arduino Due exposes the ATSAM3X8E’s SWD interface via its DEBUG port. The -ST-LINK/v2 programmer connects to that to communicate with the chip.

    - -

    Uploading the program

    - -

    The source.tar.gz tarball at the end of this page contains a sample C program -(the classic LED blink program) with OpenOCD configuration and linker scripts. -First, use the following command to build it:

    - -
    $ arm-none-eabi-gcc -mcpu=cortex-m3 -mthumb -T script.ld \
    -    -nostartfiles \
    -    -nostdlib \
    -    -o a.elf main.c
    -
    - -

    Then, open a telnet session with OpenOCD and issue the following sequence of -commands to configure the chip and upload the compiled program to it:

    - -
    $ openocd -f openocd-due.cfg
    -$ telnet localhost 4444
    -  > halt
    -  > at91sam3 gpnvm show
    -  > at91sam3 gpnvm set 1
    -  > at91sam3 gpnvm show
    -$ openocd -f openocd-due.cfg -c "program a.elf verify reset exit"
    -
    - -

    The first of the above commands starts OpenOCD. In the telnet session, the -first command halts the chip in preparation for receiving commands. Next, we -inspect the current GPNVM bit setting (more on this later). If the bit is unset -(the gpnvm show command returns 0), we set it to 1 and verify the update.

    - -

    The final command, issued from outside the telnet session, uploads the program -to the chip. Those are the bare minimum set of commands required to program the -chip. The AT91SAM3 flash driver section of the OpenOCD manual lists all -available commands for the ATSAM3X8E chip.

    - -

    GPNVM bits

    - -

    By design, ARM chips boot into address 0x00000. ATSAM3X8E’s memory consists of -a ROM and a dual-banked flash (flash0 and flash1), residing in different -locations of the chip’s address space. The GPNVM bits control which of them -maps to 0x00000. When GPNVM1 is cleared (the default), the chip boots from the ROM, -which contains Atmel’s SAM-BA bootloader.

    - -

    Conversely, when the GPNVM1 bit is 1 (and the GPNVM2 bit is 0), flash0 at -address 0x80000 maps to 0x00000. When both GPNVM bits are 0, flash1 maps to -0x00000. Since we place our program in flash0 in the linker script, we set the -GPNVM1 bit and leave the GPNVM2 bit unchanged to ensure the chip -executes our program instead of the embedded bootloader at startup.

    - -

    Linker script

    - -

    At a minimum, the linker script must place the vector table at the first -address of the flash. This is mandatory for ARM chips unless we relocate the -vector table using the VTOR register.

    - -

    The first entry of the vector table must be the stack pointer. The stack -pointer must be initializes to the highest memory location available to -accommodate the ATSAM3X8E’s descending stack.

    - -

    The second entry of the vector table must be the reset vector. In the reset -vector, we can perform tasks such as zeroing out memory and initializing -registers before passing control to the main program.

    - -

    Files: source.tar.gz

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    -
    -
    -

    HOW TO CONFIGURE ATMEGA328P MICROCONTROLLERS TO RUN AT 3.3V AND 5V

    -
    10 APRIL 2025
    -
    -

    This is a quick reference for wiring up ATmega328P ICs to run at 5V and 3.3V. -While the 5V configuration is common, the 3.3V configuration can be useful in -low-power applications and when interfacing with parts that themselves run at -3.3V. In this guide, the 5V setup is configured with a 16MHz crystal -oscillator, while the 3.3V configuration makes use of an 8MHz crystal -oscillator.

    - -

    The steps that follow refer to the following pinout.

    - - - - - - -
    - Pinout -

    Pinout

    -
    - Circuit -

    Breadboard

    -
    - -

    5V-16MHz configuration

    - -

    Powering ATmega328P microcontrollers with 5V is the most common setup. This is -also how Arduino Uno boards are wired.

    - -

    In this configuration, the microcontroller’s pin 1 is connected to 5V via a -10kΩ resistor. Pins 9 and 10 are connected to a 16MHz crystal oscillator via -two 22pF capacitors connected to ground. The microcontroller is powered by -connecting pins 7, 20, and 21 to a 5V DC power supply. Lastly, pins 8 and 22 -are connected to ground. In addition to the these connections, which are -required, it’s a good idea to add 0.1μF decoupling capacitors between pins 7, -20, and 21 and ground.

    - -

    Here’s a sample Makefile for compiling C programs for ATmega328P -microcontrollers using avr-gcc/avrdude toolchain.

    - -

    3.3V-8MHz configuration

    - -

    Electrical connections for running an ATmega328P at 3.3V are identical to that -of the 5V circuit. The only differences are that all the 5V connections are -replaced with a 3.3V power source and a 8MHz crystal oscillator takes the place -of the 16MHz crystal.

    - -

    However, standard ATmega328P chips are preconfigured to run at 5V. To run one -at 3.3V, we must first modify its fuses that control characteristics like the -BOD level. If a bootloader that expects a 16MHz clock (e.g., Arduino -bootloader) is pre-installed on the ATmega328P, it must be swapped with one -that accepts an 8MHz clock. To accomplish that, we need an in-system programmer -(ISP).

    - -

    Fortunately, we can turn an ordinary Arduino Uno board into an ISP by uploading -the ‘ArduinoISP’ sketch found in the Arduino IDE. The ISP communicates with the -microcontroller using a Serial Peripheral Interface (SPI). So, connect the SPI -port of the ATmega328P to that of the Arduino Uno, and the Uno’s SS pin -to the ATmega328P’s RESET pin.

    - -

    Power up the the ATmega328P by connecting its VCC to a 5V supply (we -can use Arduino Uno’s 5V pin). From the Arduino IDE, select ‘ATmega328P (3.3V, -8MHz)’ for processor from the tools menu. Also from the tools menu, select -‘Arduino as ISP’ as programmer. Finally, upload the new bootloader by selecting -‘Burn Bootloader’ from the tools menu.

    - -

    The ATmega328P is now ready to run at 8MHz with a 3.3V power supply. You can -upload programs to the ATmega328P as you normally would using avrdude. -Here’s a sample Makefile with adjusted parameters (e.g., baud -rate) for an 8MHz clock.

    - -

    Remarks

    - -

    In both configurations, if you intend to use the ATmega328P’s analog-to-digital -converter with the internal 1.1V or AVcc voltage as reference, do -not connect AREF (pin 21) to Vcc. Refer to section 23.5.2 in the -datasheet for more information.

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    Archive

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    - - - - - - diff --git a/_site/archive/mosfet-switches/bjt.png b/_site/archive/mosfet-switches/bjt.png deleted file mode 100644 index 9858fa7..0000000 Binary files a/_site/archive/mosfet-switches/bjt.png and /dev/null differ diff --git a/_site/archive/mosfet-switches/index.html b/_site/archive/mosfet-switches/index.html deleted file mode 100644 index 902d813..0000000 --- a/_site/archive/mosfet-switches/index.html +++ /dev/null @@ -1,173 +0,0 @@ - - - - - MOSFETs as electronic switches - - - - - MOSFETs as electronic switches - - - - - - - - - - - - - -
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    -

    MOSFETS AS ELECTRONIC SWITCHES

    -
    22 JUNE 2025
    -
    -

    Recently, I needed a low-power circuit for one of my battery-operated projects. -Much of the system’s power savings depended on its ability to electronically -switch off components, such as servos, that draw high levels of quiescent -currents. My search for a solution led me to MOSFETs, transistors capable of -controlling circuits operating at voltages far above their own.

    - -

    Acknowledgments

    - -

    This article is a summary of what I learnt about using MOSFETs as switches. -I’m not an electronics engineer, and this is not an authoritative guide. The -circuits in this post must be considered within the narrow context in which -I’ve used them. All credits for the schematics belong to Simon Fitch.

    - -

    Preamble

    - -

    For a typical MOSFET-based switch, we can connect a GPIO pin of a -microcontroller to the gate of a logic-level N-channel MOSFET placed on the low -side of the load and tie the gate and the drain pins of the MOSFET with a -pull-down resistor. This would work as long as the power supplies of the -microcontroller and the load don’t share a common ground. Things become more -complicated when they do (e.g., controlling power to a component driven by the -same microcontroller).

    - -

    In that scenario, the source potential visible to the load is the difference -between the gate and the threshold potentials of the MOSFET. For example, when -the gate and the threshold potentials are 3.3 V and 1.5 V, the potential the -load sees is 1.8 V. So, to use a low-side N-channel MOSFET, we need the gate -potential to be higher than the source potential, which may not always be -practical. The alternative would be a hide-side switch.

    - -

    P-channel high-side switch

    - -

    The following schematic shows how a high-side P-channel MOSFET (M1) could -switch power to a 6 V servo driven by a 3.3 V MCU.

    - -

    P-channel high-side switching circuit

    - -

    When the microcontroller outputs low, the M2 N-channel MOSFET stops conducting. -The R1 resistor pulls the gate of the M1 P-channel MOSFET up to +6 V, switching -the servo off. When the microcontroller outputs high on the GPIO pin, M2’s -source-drain connection starts conducting, causing M1’s gate potential to drop -to 0 V, which switches on power to the servo.

    - -

    N-channel high-side switch

    - -

    The P-channel high-side switch would be the typical architecture for our use -case. However, if we have access to a potential high enough to safely raise the -gate potential above the threshold such that their difference outputs the source -potential required to drive the load, we can switch on the high side using an -N-channel MOSFET:

    - -

    N-channel high-side switching circuit

    - -

    In the schematic, both M1 and M2 are N-channel MOSFETs. When the -microcontroller output is low, M2 stops conducting. This causes the M1’s gate -potential to rise above the threshold, turning the servo on. Conversely, a high -output on the GPIO line switches M2 on, which lowers M1’s gate potential. This -switches the servo off. The R2 pull-up resistor prevents the high impedance of -the output pins at power-up from switching the servo on.

    - -

    Both topologies require M2 to act as a level converter between circuits -containing the microcontroller and the servo, converting between 0 V and +6 V -or +9 V. M2 is a low-power signal converter carrying less than a milliamp of -current. The gate-source threshold voltage of M2 must be lower than the MCU’s -supply voltage. 2N7000, 2N7002, and BSS138 are popular choices for M2.

    - -

    The D1 flyback diodes used in the two topologies safeguard the MOSFET from -voltage spikes caused by inductive loads such as servos.

    - -

    A BJT alternative

    - -

    A Bipolar Junction Transistor (BJT) is a simpler, cheaper, and more widely -available type of transistor that can be used as a switch.

    - -

    BJT architecture

    - -

    In the schematic, when the MCU outputs high, Q2 starts conducting. Q2 amplifies -Q1’s base current. Unlike MOSFETs, which are voltage-driven, BJTs are driven by -base current. Resistors R3 and R4 must be chosen carefully to output the -desired base currents. “How to choose a -transistor as a switch” is an excellent guide on using BJTs as electronic -switches.

    - -

    Which topology to choose?

    - -

    The professional community appears to prefer MOSFETs over BJTs. MOSFETs are -more efficient when the switch is on. However, they are more challenging to -drive, especially with a 3.3 V MCU, due to the VGS potentials -required to achieve specified RDS(on) values (i.e., to turn them on -fully).

    - -

    N-channel MOSFETs have lower on-resistance values, making them more efficient -than P-channel ones. They are also cheaper. However, they are harder to drive -on the high side as their gate potential must be higher than the source -potential. This often requires extra circuitry such as MOSFET drivers.

    - -

    Further reading

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    -
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    -

    NEO4J A* SEARCH

    -
    14 SEPTEMBER 2025
    -
    -

    Back in 2018, we used Neo4J graph database to track the -movement of marine vessels. We were interested in the shortest path a ship -could take through a network of about 13,000 route points. Algorithms based on -graph theory, such as A* search, provide optimal solutions to such problems. -In other words, the set of route points lends itself well to a model based on -graphs.

    - -

    A graph is a finite set of vertices, and a subset of vertex pairs (edges). -Edges can have weights. In the case of vessel tracking, the route points form -the vertices of a graph; the routes between them, the edges; and the distances -between them are the weights. For different reasons, people are interested in -minimizing (or maximizing) the weight of a path through a set of vertices. For -instance, we may want to find the shortest path between two ports.

    - -

    Given such a graph, an algorithm like Dijkstra’s search could compute the -shortest path between two vertices. In fact, this was the algorithm Neo4J -shipped with at the time. One drawback of Dijkstra’s algorithm is that it -computes all the shortest paths from the source to all other vertices before -terminating at the destination vertex. The exhaustive nature of this search -limited our search to about 4,000 route points.

    - -

    The following enhancement to Dijkstra’s search, also known as the A* search, -employs a heuristic to steer the search in the direction of the destination -more quickly. In the case of our network of vessels, which are on the earth’s -surface, spherical distance is a good candidate for a heuristic:

    - -
    package org.neo4j.graphalgo.impl;
    -
    -import java.util.stream.Stream;
    -import java.util.stream.StreamSupport;
    -
    -import org.neo4j.graphalgo.api.Graph;
    -import org.neo4j.graphalgo.core.utils.ProgressLogger;
    -import org.neo4j.graphalgo.core.utils.queue.IntPriorityQueue;
    -import org.neo4j.graphalgo.core.utils.queue.SharedIntPriorityQueue;
    -import org.neo4j.graphalgo.core.utils.traverse.SimpleBitSet;
    -import org.neo4j.graphdb.Direction;
    -import org.neo4j.graphdb.Node;
    -import org.neo4j.kernel.internal.GraphDatabaseAPI;
    -
    -import com.carrotsearch.hppc.IntArrayDeque;
    -import com.carrotsearch.hppc.IntDoubleMap;
    -import com.carrotsearch.hppc.IntDoubleScatterMap;
    -import com.carrotsearch.hppc.IntIntMap;
    -import com.carrotsearch.hppc.IntIntScatterMap;
    -
    -public class ShortestPathAStar extends Algorithm<ShortestPathAStar> {
    -    
    -    private final GraphDatabaseAPI dbService;
    -    private static final int PATH_END = -1;
    -    
    -    private Graph graph;
    -    private final int nodeCount;
    -    private IntDoubleMap gCosts;
    -    private IntDoubleMap fCosts;
    -    private double totalCost;
    -    private IntPriorityQueue openNodes;
    -    private IntIntMap path;
    -    private IntArrayDeque shortestPath;
    -    private SimpleBitSet closedNodes;
    -    private final ProgressLogger progressLogger;
    -    
    -    public static final double NO_PATH_FOUND = -1.0;
    -    
    -    public ShortestPathAStar(
    -        final Graph graph,
    -        final GraphDatabaseAPI dbService) {
    -
    -        this.graph = graph;
    -        this.dbService = dbService;
    -
    -        nodeCount = Math.toIntExact(graph.nodeCount());
    -        gCosts = new IntDoubleScatterMap(nodeCount);
    -        fCosts = new IntDoubleScatterMap(nodeCount);
    -        openNodes = SharedIntPriorityQueue.min(
    -            nodeCount,
    -            fCosts,
    -            Double.MAX_VALUE);
    -        path = new IntIntScatterMap(nodeCount);
    -        closedNodes = new SimpleBitSet(nodeCount);
    -        shortestPath = new IntArrayDeque();
    -        progressLogger = getProgressLogger();
    -    }
    -    
    -    public ShortestPathAStar compute(
    -        final long startNode,
    -        final long goalNode,
    -        final String propertyKeyLat,
    -        final String propertyKeyLon,
    -        final Direction direction) {
    -
    -        reset();
    -
    -        final int startNodeInternal = 
    -            graph.toMappedNodeId(startNode);
    -        final double startNodeLat =
    -            getNodeCoordinate(startNodeInternal, propertyKeyLat);
    -        final double startNodeLon = 
    -            getNodeCoordinate(startNodeInternal, propertyKeyLon);
    -
    -        final int goalNodeInternal =
    -            graph.toMappedNodeId(goalNode);
    -        final double goalNodeLat = 
    -            getNodeCoordinate(goalNodeInternal, propertyKeyLat);
    -        final double goalNodeLon = 
    -            getNodeCoordinate(goalNodeInternal, propertyKeyLon);
    -
    -        final double initialHeuristic = 
    -            computeHeuristic(startNodeLat,
    -                startNodeLon,
    -                goalNodeLat,
    -                goalNodeLon);
    -
    -        gCosts.put(startNodeInternal, 0.0);
    -        fCosts.put(startNodeInternal, initialHeuristic);
    -        openNodes.add(startNodeInternal, 0.0);
    -
    -        run(goalNodeInternal,
    -            propertyKeyLat,
    -            propertyKeyLon,
    -            direction);
    -
    -        if (path.containsKey(goalNodeInternal)) {
    -            totalCost = gCosts.get(goalNodeInternal);
    -            int node = goalNodeInternal;
    -            while (node != PATH_END) {
    -                shortestPath.addFirst(node);
    -                node = path.getOrDefault(node, PATH_END);
    -            }
    -        }
    -        return this;
    -    }
    -    
    -    private void run(
    -        final int goalNodeId,
    -        final String propertyKeyLat,
    -        final String propertyKeyLon,
    -        final Direction direction) {
    -
    -        final double goalLat = 
    -            getNodeCoordinate(goalNodeId, propertyKeyLat);
    -        final double goalLon =
    -            getNodeCoordinate(goalNodeId, propertyKeyLon);
    -
    -        while (!openNodes.isEmpty() && running()) {
    -            int currentNodeId = openNodes.pop();
    -            if (currentNodeId == goalNodeId) {
    -                return;
    -            }
    -
    -            closedNodes.put(currentNodeId);
    -
    -            double currentNodeCost = 
    -                this.gCosts.getOrDefault(
    -                    currentNodeId, 
    -                    Double.MAX_VALUE);
    -
    -            graph.forEachRelationship(
    -                currentNodeId,
    -                direction,
    -                (source, target, relationshipId, weight) -> {
    -                    double neighbourLat = 
    -                        getNodeCoordinate(target, propertyKeyLat);
    -                    double neighbourLon = 
    -                        getNodeCoordinate(target, propertyKeyLon);
    -                    double heuristic = 
    -                        computeHeuristic(
    -                            neighbourLat, 
    -                            neighbourLon, 
    -                            goalLat,
    -                            goalLon);
    -
    -                    updateCosts(
    -                        source,
    -                        target,
    -                        weight + currentNodeCost,
    -                        heuristic);
    -
    -                    if (!closedNodes.contains(target)) {
    -                        openNodes.add(target, 0);
    -                    }
    -                    return true;
    -                });
    -
    -            progressLogger.logProgress(
    -                (double) currentNodeId / (nodeCount - 1));
    -        }
    -    }
    -    
    -    private double computeHeuristic(
    -        final double lat1,
    -        final double lon1,
    -        final double lat2,
    -        final double lon2) {
    -
    -        final int earthRadius = 6371;
    -        final double kmToNM = 0.539957;
    -        final double latDistance = Math.toRadians(lat2 - lat1);
    -        final double lonDistance = Math.toRadians(lon2 - lon1);
    -        final double a = Math.sin(latDistance / 2)
    -            * Math.sin(latDistance / 2)
    -            + Math.cos(Math.toRadians(lat1))
    -            * Math.cos(Math.toRadians(lat2))
    -            * Math.sin(lonDistance / 2)
    -            * Math.sin(lonDistance / 2);
    -        final double c = 2
    -            * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));
    -        final double distance = earthRadius * c * kmToNM;
    -        return distance;
    -    }
    -    
    -    private double getNodeCoordinate(
    -        final int nodeId,
    -        final String coordinateType) {
    -
    -        final long neo4jId = graph.toOriginalNodeId(nodeId);
    -        final Node node = dbService.getNodeById(neo4jId);
    -        return (double) node.getProperty(coordinateType);
    -    }
    -    
    -    private void updateCosts(
    -        final int source, 
    -        final int target, 
    -        final double newCost,
    -        final double heuristic) {
    -
    -        final double oldCost = 
    -            gCosts.getOrDefault(target, Double.MAX_VALUE);
    -
    -        if (newCost < oldCost) {
    -            gCosts.put(target, newCost);
    -            fCosts.put(target, newCost + heuristic);
    -            path.put(target, source);
    -        }
    -    }
    -    
    -    private void reset() {
    -        closedNodes.clear();
    -        openNodes.clear();
    -        gCosts.clear();
    -        fCosts.clear();
    -        path.clear();
    -        shortestPath.clear();
    -        totalCost = NO_PATH_FOUND;
    -    }
    -    
    -    public Stream<Result> resultStream() {
    -        return StreamSupport.stream(
    -            shortestPath.spliterator(), false)
    -                .map(cursor -> new Result(
    -                    graph.toOriginalNodeId(cursor.value),
    -                    gCosts.get(cursor.value)));
    -    }
    -
    -    public IntArrayDeque getFinalPath() {
    -        return shortestPath;
    -    }
    -    
    -    public double getTotalCost() {
    -        return totalCost;
    -    }
    -
    -    public int getPathLength() {
    -        return shortestPath.size();
    -    }
    -    
    -    @Override
    -    public ShortestPathAStar me() {
    -        return this;
    -    }
    -
    -    @Override
    -    public ShortestPathAStar release() {
    -        graph = null;
    -        gCosts = null;
    -        fCosts = null;
    -        openNodes = null;
    -        path = null;
    -        shortestPath = null;
    -        closedNodes = null;
    -        return this;
    -    }
    -    
    -    public static class Result {
    -
    -        /**
    -         * the neo4j node id
    -         */
    -        public final Long nodeId;
    -
    -        /**
    -         * cost to reach the node from startNode
    -         */
    -        public final Double cost;
    -
    -        public Result(Long nodeId, Double cost) {
    -            this.nodeId = nodeId;
    -            this.cost = cost;
    -        }
    -    }
    -}
    -
    - -

    The heuristic function is domain-specific. If chosen wisely, it can -significantly speed up the search. In our case, we achieved a 300x speedup, -enabling us to expand our search from 4,000 to 13,000 route points. The v3.4.0 of the -Neo4J graph algorithms shipped with the A* search algorithm.

    - -
    - -
    -
    -
    - - - - - - diff --git a/_site/archive/suckless-software/index.html b/_site/archive/suckless-software/index.html deleted file mode 100644 index 418f8ce..0000000 --- a/_site/archive/suckless-software/index.html +++ /dev/null @@ -1,142 +0,0 @@ - - - - - How I manage Suckless software packages - - - - - How I manage Suckless software packages - - - - - - - - - - - - - -
    -
    -
    -

    HOW I MANAGE SUCKLESS SOFTWARE PACKAGES

    -
    30 NOVEMBER 2025
    -
    -

    Since suckless software requires users to modify the -source code and recompile to customize, I need a way to maintain patches over -the long term while retaining the ability to upgrade the software as new -versions are released.

    - -

    Initial setup

    - -

    When using a suckless program, I usually begin by cloning the project and -setting the remote URL to push a copy of the source code with my patches to my -own git repository:

    - -
    git clone git://git.suckless.org/dwm
    -git reset --hard <tag>
    -git remote set-url --push origin git@git.asciimx.com:/repos/dwm
    -
    - -

    This way, I can pull updates from the upstream project whenever I want, while -committing my changes to my own git repository. The git reset command aligns my -branch head with a stable release before applying patches or installing the -software.

    - -

    If all I want to do is reconfigure the software (e.g., change key bindings), -which is what I need most of the time, the recommended approach is to modify -the config.h file. If the config.h isn’t yet in the project, the following -command generates it from the defaults and compiles the software using make -clean <target> here <target> is the name of the application (e.g., dwm) -found in the Makefile. I modify the resulting config.h file and run make clean -install to install the software before committing and pushing my changes to my -git repo.

    - -

    dwm and slstatus

    - -

    Since dwm and slstatus are always running, make install will likely fail for -them. The operating system will prevent the installer from replacing running -executables with new ones. Hence, we must first stop the running instances of -these programs (Mod + Shift + q). Then, switch to a tty (Ctrl + Alt + F1), -log in, and change the directory to where dwm/slstatus is. We can run make -install to install the software and switch back to the graphical session -(Ctrl + Alt + F5).

    - -

    The key combinations for switching to the tty and back may differ across -systems. The ones listed above are for OpenBSD.

    - -

    Subsequent upgrades

    - -

    When suckless releases a new version, I run git pull --rebase to fetch the -upstream changes and rebase my patches on top of them. Because I tend to use -stable versions, I perform another interactive rebase to drop the commits -between the latest stable version tag and my patch before installing the -software.

    - -

    Commit log before upgrading:

    - -
    dt236  My patch.
    -3fkdf  Version 6.5.
    -
    - -

    Commit log after pulling:

    - -
    w467d  My patch.
    -gh25g  A commit.
    -g525g  Another commit.
    -3fkdf  Version 6.6.
    -vd425  Old commit.
    -q12vu  Another old commit.
    -3fkdf  Version 6.5.
    -
    - -

    Commit log after the interactive rebase:

    - -
    h57jh  My patch.
    -3fkdf  Version 6.6.
    -vd425  Old commit.
    -q12vu  Another old commit.
    -3fkdf  Version 6.5.
    -
    - -

    And finally, commit and push all the changes to my own git repository.

    - -
    - -
    -
    -
    - - - - - - diff --git a/_site/assets/css/main.css b/_site/assets/css/main.css index ef53733..5a777c0 100644 --- a/_site/assets/css/main.css +++ b/_site/assets/css/main.css @@ -72,10 +72,16 @@ td { width: 50%; } +#navlist +{ + list-style-type: none; + margin-left: 0 !important; +} + #navlist li { display: inline; - list-style-type: none; + list-style-type: none inside; padding-right: 20px; } @@ -94,9 +100,6 @@ td { } @media (min-width: 550px) { - #nav-container { - padding: 0; - } .post-container { padding: 0; } diff --git a/_site/assets/css/skeleton.css b/_site/assets/css/skeleton.css index 40c9bdc..90239a6 100644 --- a/_site/assets/css/skeleton.css +++ b/_site/assets/css/skeleton.css @@ -275,12 +275,13 @@ label > .label-body { /* Lists –––––––––––––––––––––––––––––––––––––––––––––––––– */ ul { - list-style: circle inside; } + list-style: circle outside; } ol { - list-style: decimal inside; } + list-style: decimal outside; } ol, ul { padding-left: 0; - margin-top: 0; } + margin-top: 0; + margin-left: 1em; } ul ul, ul ol, ol ol, diff --git a/_site/blog/arduino-due/connections.jpeg b/_site/blog/arduino-due/connections.jpeg new file mode 100644 index 0000000..081e6d4 Binary files /dev/null and b/_site/blog/arduino-due/connections.jpeg differ diff --git a/_site/blog/arduino-due/index.html b/_site/blog/arduino-due/index.html new file mode 100644 index 0000000..fee442f --- /dev/null +++ b/_site/blog/arduino-due/index.html @@ -0,0 +1,172 @@ + + + + + How to set up ATSAM3X8E microcontrollers for bare-metal programming in C + + + + + How to set up ATSAM3X8E microcontrollers for bare-metal programming in C + + + + + + + + + + + + + +
    +
    +
    +

    HOW TO SET UP ATSAM3X8E MICROCONTROLLERS FOR BARE-METAL PROGRAMMING IN C

    +
    05 OCTOBER 2024
    +
    +

    This article is a step-by-step guide for programming bare-metal ATSAM3X8E chips +found on Arduino Due boards. It also includes notes on the chip’s memory layout +relevant for writing linker scripts. The steps described in this article were +tested on an OpenBSD workstation.

    + +

    Toolchain

    + +

    To interact directly with a bare-metal ATSAM3X8E chips, we must bypass the +embedded bootloader. To do that, we need a hardware programmer capable of +communicating with the chip over the Serial Wire Debug (SWD) protocol. Since +the workstation we upload the program from presumably doesn’t speak SWD, the +hardware programmer acts as a SWD-USB adapter. The ST-LINK/V2 programmer fits this +bill.

    + +

    The OpenOCD on-chip debugger software supports +ATSAM3X8E chips. OpenOCD, on startup, runs a telnet server that we can connect to +to issue commands to the ATSAM3X8E chip. OpenOCD translates plain-text commands +into the binary sequences the chip understands, and sends them over the wire.

    + +

    Finally, we need the ARM GNU Compiler +Toolchain to compile C programs for the chip. The ARM GNU compiler +toolchain and OpenOCD, as a consequence of being free software, are available +on every conceivable platform, including OpenBSD.

    + +

    Electrical connections

    + +

    The following photos illustrate the electrical connections between the Arduino +Due, PC, and the ST-LINK/V2 programmer required to transfer a compiled program +from a PC to the MCU.

    + + + + + + +
    + Pinout +

    Wiring

    +
    + Circuit +

    Arduino Due

    +
    + +

    Arduino Due exposes the ATSAM3X8E’s SWD interface via its DEBUG port. The +ST-LINK/v2 programmer connects to that to communicate with the chip.

    + +

    Uploading the program

    + +

    The source.tar.gz tarball at the end of this page contains a sample C program +(the classic LED blink program) with OpenOCD configuration and linker scripts. +First, use the following command to build it:

    + +
    $ arm-none-eabi-gcc -mcpu=cortex-m3 -mthumb -T script.ld \
    +    -nostartfiles \
    +    -nostdlib \
    +    -o a.elf main.c
    +
    + +

    Then, open a telnet session with OpenOCD and issue the following sequence of +commands to configure the chip and upload the compiled program to it:

    + +
    $ openocd -f openocd-due.cfg
    +$ telnet localhost 4444
    +  > halt
    +  > at91sam3 gpnvm show
    +  > at91sam3 gpnvm set 1
    +  > at91sam3 gpnvm show
    +$ openocd -f openocd-due.cfg -c "program a.elf verify reset exit"
    +
    + +

    The first of the above commands starts OpenOCD. In the telnet session, the +first command halts the chip in preparation for receiving commands. Next, we +inspect the current GPNVM bit setting (more on this later). If the bit is unset +(the gpnvm show command returns 0), we set it to 1 and verify the update.

    + +

    The final command, issued from outside the telnet session, uploads the program +to the chip. Those are the bare minimum set of commands required to program the +chip. The AT91SAM3 flash driver section of the OpenOCD manual lists all +available commands for the ATSAM3X8E chip.

    + +

    GPNVM bits

    + +

    By design, ARM chips boot into address 0x00000. ATSAM3X8E’s memory consists of +a ROM and a dual-banked flash (flash0 and flash1), residing in different +locations of the chip’s address space. The GPNVM bits control which of them +maps to 0x00000. When GPNVM1 is cleared (the default), the chip boots from the ROM, +which contains Atmel’s SAM-BA bootloader.

    + +

    Conversely, when the GPNVM1 bit is 1 (and the GPNVM2 bit is 0), flash0 at +address 0x80000 maps to 0x00000. When both GPNVM bits are 0, flash1 maps to +0x00000. Since we place our program in flash0 in the linker script, we set the +GPNVM1 bit and leave the GPNVM2 bit unchanged to ensure the chip +executes our program instead of the embedded bootloader at startup.

    + +

    Linker script

    + +

    At a minimum, the linker script must place the vector table at the first +address of the flash. This is mandatory for ARM chips unless we relocate the +vector table using the VTOR register.

    + +

    The first entry of the vector table must be the stack pointer. The stack +pointer must be initializes to the highest memory location available to +accommodate the ATSAM3X8E’s descending stack.

    + +

    The second entry of the vector table must be the reset vector. In the reset +vector, we can perform tasks such as zeroing out memory and initializing +registers before passing control to the main program.

    + +

    Files: source.tar.gz

    +
    + +
    +
    +
    + + + + + + diff --git a/_site/blog/arduino-due/schematic.png b/_site/blog/arduino-due/schematic.png new file mode 100644 index 0000000..62ddadd Binary files /dev/null and b/_site/blog/arduino-due/schematic.png differ diff --git a/_site/blog/arduino-due/source.tar.gz b/_site/blog/arduino-due/source.tar.gz new file mode 100644 index 0000000..496567b Binary files /dev/null and b/_site/blog/arduino-due/source.tar.gz differ diff --git a/_site/blog/arduino-uno/3v3.Makefile b/_site/blog/arduino-uno/3v3.Makefile new file mode 100644 index 0000000..4ca89d4 --- /dev/null +++ b/_site/blog/arduino-uno/3v3.Makefile @@ -0,0 +1,46 @@ +CC = avr-gcc +MCU = atmega328p +PORT = /dev/cuaU0 +TARGET = app + +SRC = main.c +OBJ = $(SRC:.c=.o) + +CFLAGS = -std=gnu99 +CFLAGS += -Os +CFLAGS += -Wall +CFLAGS += -mmcu=$(MCU) +CFLAGS += -DBAUD=57600 +CFLAGS += -DF_CPU=8000000UL +CFLAGS += -ffunction-sections -fdata-sections + +LDFLAGS = -mmcu=$(MCU) +LDFLAGS += -Wl,--gc-sections + +HEX_FLAGS = -O ihex +HEX_FLAGS += -j .text -j .data + +AVRDUDE_FLAGS = -p $(MCU) +AVRDUDE_FLAGS += -c arduino +AVRDUDE_FLAGS += -b 57600 +AVRDUDE_FLAGS += -P $(PORT) +AVRDUDE_FLAGS += -D -U + +%.o: %.c + $(CC) $(CFLAGS) -c -o $@ $< + +elf: $(OBJ) + $(CC) $(LDFLAGS) $(OBJ) -o $(TARGET).elf + +hex: elf + avr-objcopy $(HEX_FLAGS) $(TARGET).elf $(TARGET).hex + +upload: hex + avrdude $(AVRDUDE_FLAGS) flash:w:$(TARGET).hex:i + +.PHONY: clean + +clean: + rm -f *.o *.elf *.hex + + diff --git a/_site/blog/arduino-uno/Makefile b/_site/blog/arduino-uno/Makefile new file mode 100644 index 0000000..9db7b09 --- /dev/null +++ b/_site/blog/arduino-uno/Makefile @@ -0,0 +1,43 @@ +CC = avr-gcc +MCU = atmega328p +PORT = /dev/cuaU0 +TARGET = app + +SRC = main.c +OBJ = $(SRC:.c=.o) + +CFLAGS = -std=gnu99 +CFLAGS += -Os +CFLAGS += -Wall +CFLAGS += -mmcu=$(MCU) +CFLAGS += -DBAUD=115200 +CFLAGS += -DF_CPU=16000000UL +CFLAGS += -ffunction-sections -fdata-sections + +LDFLAGS = -mmcu=$(MCU) +LDFLAGS += -Wl,--gc-sections + +HEX_FLAGS = -O ihex +HEX_FLAGS += -j .text -j .data + +AVRDUDE_FLAGS = -p $(MCU) +AVRDUDE_FLAGS += -c arduino +AVRDUDE_FLAGS += -P $(PORT) +AVRDUDE_FLAGS += -D -U + +%.o: %.c + $(CC) $(CFLAGS) -c -o $@ $< + +elf: $(OBJ) + $(CC) $(LDFLAGS) $(OBJ) -o $(TARGET).elf + +hex: elf + avr-objcopy $(HEX_FLAGS) $(TARGET).elf $(TARGET).hex + +upload: hex + avrdude $(AVRDUDE_FLAGS) flash:w:$(TARGET).hex:i + +.PHONY: clean + +clean: + rm *.o *.elf *.hex diff --git a/_site/blog/arduino-uno/breadboard.jpeg b/_site/blog/arduino-uno/breadboard.jpeg new file mode 100644 index 0000000..bd74907 Binary files /dev/null and b/_site/blog/arduino-uno/breadboard.jpeg differ diff --git a/_site/blog/arduino-uno/index.html b/_site/blog/arduino-uno/index.html new file mode 100644 index 0000000..7c4a71b --- /dev/null +++ b/_site/blog/arduino-uno/index.html @@ -0,0 +1,139 @@ + + + + + How to configure ATmega328P microcontrollers to run at 3.3V and 5V + + + + + How to configure ATmega328P microcontrollers to run at 3.3V and 5V + + + + + + + + + + + + + +
    +
    +
    +

    HOW TO CONFIGURE ATMEGA328P MICROCONTROLLERS TO RUN AT 3.3V AND 5V

    +
    10 APRIL 2025
    +
    +

    This is a quick reference for wiring up ATmega328P ICs to run at 5V and 3.3V. +While the 5V configuration is common, the 3.3V configuration can be useful in +low-power applications and when interfacing with parts that themselves run at +3.3V. In this guide, the 5V setup is configured with a 16MHz crystal +oscillator, while the 3.3V configuration makes use of an 8MHz crystal +oscillator.

    + +

    The steps that follow refer to the following pinout.

    + + + + + + +
    + Pinout +

    Pinout

    +
    + Circuit +

    Breadboard

    +
    + +

    5V-16MHz configuration

    + +

    Powering ATmega328P microcontrollers with 5V is the most common setup. This is +also how Arduino Uno boards are wired.

    + +

    In this configuration, the microcontroller’s pin 1 is connected to 5V via a +10kΩ resistor. Pins 9 and 10 are connected to a 16MHz crystal oscillator via +two 22pF capacitors connected to ground. The microcontroller is powered by +connecting pins 7, 20, and 21 to a 5V DC power supply. Lastly, pins 8 and 22 +are connected to ground. In addition to the these connections, which are +required, it’s a good idea to add 0.1μF decoupling capacitors between pins 7, +20, and 21 and ground.

    + +

    Here’s a sample Makefile for compiling C programs for ATmega328P +microcontrollers using avr-gcc/avrdude toolchain.

    + +

    3.3V-8MHz configuration

    + +

    Electrical connections for running an ATmega328P at 3.3V are identical to that +of the 5V circuit. The only differences are that all the 5V connections are +replaced with a 3.3V power source and a 8MHz crystal oscillator takes the place +of the 16MHz crystal.

    + +

    However, standard ATmega328P chips are preconfigured to run at 5V. To run one +at 3.3V, we must first modify its fuses that control characteristics like the +BOD level. If a bootloader that expects a 16MHz clock (e.g., Arduino +bootloader) is pre-installed on the ATmega328P, it must be swapped with one +that accepts an 8MHz clock. To accomplish that, we need an in-system programmer +(ISP).

    + +

    Fortunately, we can turn an ordinary Arduino Uno board into an ISP by uploading +the ‘ArduinoISP’ sketch found in the Arduino IDE. The ISP communicates with the +microcontroller using a Serial Peripheral Interface (SPI). So, connect the SPI +port of the ATmega328P to that of the Arduino Uno, and the Uno’s SS pin +to the ATmega328P’s RESET pin.

    + +

    Power up the the ATmega328P by connecting its VCC to a 5V supply (we +can use Arduino Uno’s 5V pin). From the Arduino IDE, select ‘ATmega328P (3.3V, +8MHz)’ for processor from the tools menu. Also from the tools menu, select +‘Arduino as ISP’ as programmer. Finally, upload the new bootloader by selecting +‘Burn Bootloader’ from the tools menu.

    + +

    The ATmega328P is now ready to run at 8MHz with a 3.3V power supply. You can +upload programs to the ATmega328P as you normally would using avrdude. +Here’s a sample Makefile with adjusted parameters (e.g., baud +rate) for an 8MHz clock.

    + +

    Remarks

    + +

    In both configurations, if you intend to use the ATmega328P’s analog-to-digital +converter with the internal 1.1V or AVcc voltage as reference, do +not connect AREF (pin 21) to Vcc. Refer to section 23.5.2 in the +datasheet for more information.

    + +
    + +
    +
    +
    + + + + + + diff --git a/_site/blog/arduino-uno/pinout.png b/_site/blog/arduino-uno/pinout.png new file mode 100644 index 0000000..59acfbc Binary files /dev/null and b/_site/blog/arduino-uno/pinout.png differ diff --git a/_site/blog/index.html b/_site/blog/index.html new file mode 100644 index 0000000..c213ee5 --- /dev/null +++ b/_site/blog/index.html @@ -0,0 +1,129 @@ + + + + + + + Blog + + + + + + + + + + + + +
    + +

    Blog

    + +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + +
    + +
    + +
    + +
    +
    + + +
    +
    + + + + + + diff --git a/_site/blog/mosfet-switches/bjt.png b/_site/blog/mosfet-switches/bjt.png new file mode 100644 index 0000000..9858fa7 Binary files /dev/null and b/_site/blog/mosfet-switches/bjt.png differ diff --git a/_site/blog/mosfet-switches/index.html b/_site/blog/mosfet-switches/index.html new file mode 100644 index 0000000..ed63e0a --- /dev/null +++ b/_site/blog/mosfet-switches/index.html @@ -0,0 +1,173 @@ + + + + + MOSFETs as electronic switches + + + + + MOSFETs as electronic switches + + + + + + + + + + + + + +
    +
    +
    +

    MOSFETS AS ELECTRONIC SWITCHES

    +
    22 JUNE 2025
    +
    +

    Recently, I needed a low-power circuit for one of my battery-operated projects. +Much of the system’s power savings depended on its ability to electronically +switch off components, such as servos, that draw high levels of quiescent +currents. My search for a solution led me to MOSFETs, transistors capable of +controlling circuits operating at voltages far above their own.

    + +

    Acknowledgments

    + +

    This article is a summary of what I learnt about using MOSFETs as switches. +I’m not an electronics engineer, and this is not an authoritative guide. The +circuits in this post must be considered within the narrow context in which +I’ve used them. All credits for the schematics belong to Simon Fitch.

    + +

    Preamble

    + +

    For a typical MOSFET-based switch, we can connect a GPIO pin of a +microcontroller to the gate of a logic-level N-channel MOSFET placed on the low +side of the load and tie the gate and the drain pins of the MOSFET with a +pull-down resistor. This would work as long as the power supplies of the +microcontroller and the load don’t share a common ground. Things become more +complicated when they do (e.g., controlling power to a component driven by the +same microcontroller).

    + +

    In that scenario, the source potential visible to the load is the difference +between the gate and the threshold potentials of the MOSFET. For example, when +the gate and the threshold potentials are 3.3 V and 1.5 V, the potential the +load sees is 1.8 V. So, to use a low-side N-channel MOSFET, we need the gate +potential to be higher than the source potential, which may not always be +practical. The alternative would be a hide-side switch.

    + +

    P-channel high-side switch

    + +

    The following schematic shows how a high-side P-channel MOSFET (M1) could +switch power to a 6 V servo driven by a 3.3 V MCU.

    + +

    P-channel high-side switching circuit

    + +

    When the microcontroller outputs low, the M2 N-channel MOSFET stops conducting. +The R1 resistor pulls the gate of the M1 P-channel MOSFET up to +6 V, switching +the servo off. When the microcontroller outputs high on the GPIO pin, M2’s +source-drain connection starts conducting, causing M1’s gate potential to drop +to 0 V, which switches on power to the servo.

    + +

    N-channel high-side switch

    + +

    The P-channel high-side switch would be the typical architecture for our use +case. However, if we have access to a potential high enough to safely raise the +gate potential above the threshold such that their difference outputs the source +potential required to drive the load, we can switch on the high side using an +N-channel MOSFET:

    + +

    N-channel high-side switching circuit

    + +

    In the schematic, both M1 and M2 are N-channel MOSFETs. When the +microcontroller output is low, M2 stops conducting. This causes the M1’s gate +potential to rise above the threshold, turning the servo on. Conversely, a high +output on the GPIO line switches M2 on, which lowers M1’s gate potential. This +switches the servo off. The R2 pull-up resistor prevents the high impedance of +the output pins at power-up from switching the servo on.

    + +

    Both topologies require M2 to act as a level converter between circuits +containing the microcontroller and the servo, converting between 0 V and +6 V +or +9 V. M2 is a low-power signal converter carrying less than a milliamp of +current. The gate-source threshold voltage of M2 must be lower than the MCU’s +supply voltage. 2N7000, 2N7002, and BSS138 are popular choices for M2.

    + +

    The D1 flyback diodes used in the two topologies safeguard the MOSFET from +voltage spikes caused by inductive loads such as servos.

    + +

    A BJT alternative

    + +

    A Bipolar Junction Transistor (BJT) is a simpler, cheaper, and more widely +available type of transistor that can be used as a switch.

    + +

    BJT architecture

    + +

    In the schematic, when the MCU outputs high, Q2 starts conducting. Q2 amplifies +Q1’s base current. Unlike MOSFETs, which are voltage-driven, BJTs are driven by +base current. Resistors R3 and R4 must be chosen carefully to output the +desired base currents. “How to choose a +transistor as a switch” is an excellent guide on using BJTs as electronic +switches.

    + +

    Which topology to choose?

    + +

    The professional community appears to prefer MOSFETs over BJTs. MOSFETs are +more efficient when the switch is on. However, they are more challenging to +drive, especially with a 3.3 V MCU, due to the VGS potentials +required to achieve specified RDS(on) values (i.e., to turn them on +fully).

    + +

    N-channel MOSFETs have lower on-resistance values, making them more efficient +than P-channel ones. They are also cheaper. However, they are harder to drive +on the high side as their gate potential must be higher than the source +potential. This often requires extra circuitry such as MOSFET drivers.

    + +

    Further reading

    + + +
    + +
    +
    +
    + + + + + + diff --git a/_site/blog/mosfet-switches/n_high_side.png b/_site/blog/mosfet-switches/n_high_side.png new file mode 100644 index 0000000..c851768 Binary files /dev/null and b/_site/blog/mosfet-switches/n_high_side.png differ diff --git a/_site/blog/mosfet-switches/p_high_side.png b/_site/blog/mosfet-switches/p_high_side.png new file mode 100644 index 0000000..9f5397a Binary files /dev/null and b/_site/blog/mosfet-switches/p_high_side.png differ diff --git a/_site/blog/neo4j-a-star-search/index.html b/_site/blog/neo4j-a-star-search/index.html new file mode 100644 index 0000000..0d918c7 --- /dev/null +++ b/_site/blog/neo4j-a-star-search/index.html @@ -0,0 +1,371 @@ + + + + + Neo4J A* search + + + + + Neo4J A* search + + + + + + + + + + + + + +
    +
    +
    +

    NEO4J A* SEARCH

    +
    14 SEPTEMBER 2025
    +
    +

    Back in 2018, we used Neo4J graph database to track the +movement of marine vessels. We were interested in the shortest path a ship +could take through a network of about 13,000 route points. Algorithms based on +graph theory, such as A* search, provide optimal solutions to such problems. +In other words, the set of route points lends itself well to a model based on +graphs.

    + +

    A graph is a finite set of vertices, and a subset of vertex pairs (edges). +Edges can have weights. In the case of vessel tracking, the route points form +the vertices of a graph; the routes between them, the edges; and the distances +between them are the weights. For different reasons, people are interested in +minimizing (or maximizing) the weight of a path through a set of vertices. For +instance, we may want to find the shortest path between two ports.

    + +

    Given such a graph, an algorithm like Dijkstra’s search could compute the +shortest path between two vertices. In fact, this was the algorithm Neo4J +shipped with at the time. One drawback of Dijkstra’s algorithm is that it +computes all the shortest paths from the source to all other vertices before +terminating at the destination vertex. The exhaustive nature of this search +limited our search to about 4,000 route points.

    + +

    The following enhancement to Dijkstra’s search, also known as the A* search, +employs a heuristic to steer the search in the direction of the destination +more quickly. In the case of our network of vessels, which are on the earth’s +surface, spherical distance is a good candidate for a heuristic:

    + +
    package org.neo4j.graphalgo.impl;
    +
    +import java.util.stream.Stream;
    +import java.util.stream.StreamSupport;
    +
    +import org.neo4j.graphalgo.api.Graph;
    +import org.neo4j.graphalgo.core.utils.ProgressLogger;
    +import org.neo4j.graphalgo.core.utils.queue.IntPriorityQueue;
    +import org.neo4j.graphalgo.core.utils.queue.SharedIntPriorityQueue;
    +import org.neo4j.graphalgo.core.utils.traverse.SimpleBitSet;
    +import org.neo4j.graphdb.Direction;
    +import org.neo4j.graphdb.Node;
    +import org.neo4j.kernel.internal.GraphDatabaseAPI;
    +
    +import com.carrotsearch.hppc.IntArrayDeque;
    +import com.carrotsearch.hppc.IntDoubleMap;
    +import com.carrotsearch.hppc.IntDoubleScatterMap;
    +import com.carrotsearch.hppc.IntIntMap;
    +import com.carrotsearch.hppc.IntIntScatterMap;
    +
    +public class ShortestPathAStar extends Algorithm<ShortestPathAStar> {
    +    
    +    private final GraphDatabaseAPI dbService;
    +    private static final int PATH_END = -1;
    +    
    +    private Graph graph;
    +    private final int nodeCount;
    +    private IntDoubleMap gCosts;
    +    private IntDoubleMap fCosts;
    +    private double totalCost;
    +    private IntPriorityQueue openNodes;
    +    private IntIntMap path;
    +    private IntArrayDeque shortestPath;
    +    private SimpleBitSet closedNodes;
    +    private final ProgressLogger progressLogger;
    +    
    +    public static final double NO_PATH_FOUND = -1.0;
    +    
    +    public ShortestPathAStar(
    +        final Graph graph,
    +        final GraphDatabaseAPI dbService) {
    +
    +        this.graph = graph;
    +        this.dbService = dbService;
    +
    +        nodeCount = Math.toIntExact(graph.nodeCount());
    +        gCosts = new IntDoubleScatterMap(nodeCount);
    +        fCosts = new IntDoubleScatterMap(nodeCount);
    +        openNodes = SharedIntPriorityQueue.min(
    +            nodeCount,
    +            fCosts,
    +            Double.MAX_VALUE);
    +        path = new IntIntScatterMap(nodeCount);
    +        closedNodes = new SimpleBitSet(nodeCount);
    +        shortestPath = new IntArrayDeque();
    +        progressLogger = getProgressLogger();
    +    }
    +    
    +    public ShortestPathAStar compute(
    +        final long startNode,
    +        final long goalNode,
    +        final String propertyKeyLat,
    +        final String propertyKeyLon,
    +        final Direction direction) {
    +
    +        reset();
    +
    +        final int startNodeInternal = 
    +            graph.toMappedNodeId(startNode);
    +        final double startNodeLat =
    +            getNodeCoordinate(startNodeInternal, propertyKeyLat);
    +        final double startNodeLon = 
    +            getNodeCoordinate(startNodeInternal, propertyKeyLon);
    +
    +        final int goalNodeInternal =
    +            graph.toMappedNodeId(goalNode);
    +        final double goalNodeLat = 
    +            getNodeCoordinate(goalNodeInternal, propertyKeyLat);
    +        final double goalNodeLon = 
    +            getNodeCoordinate(goalNodeInternal, propertyKeyLon);
    +
    +        final double initialHeuristic = 
    +            computeHeuristic(startNodeLat,
    +                startNodeLon,
    +                goalNodeLat,
    +                goalNodeLon);
    +
    +        gCosts.put(startNodeInternal, 0.0);
    +        fCosts.put(startNodeInternal, initialHeuristic);
    +        openNodes.add(startNodeInternal, 0.0);
    +
    +        run(goalNodeInternal,
    +            propertyKeyLat,
    +            propertyKeyLon,
    +            direction);
    +
    +        if (path.containsKey(goalNodeInternal)) {
    +            totalCost = gCosts.get(goalNodeInternal);
    +            int node = goalNodeInternal;
    +            while (node != PATH_END) {
    +                shortestPath.addFirst(node);
    +                node = path.getOrDefault(node, PATH_END);
    +            }
    +        }
    +        return this;
    +    }
    +    
    +    private void run(
    +        final int goalNodeId,
    +        final String propertyKeyLat,
    +        final String propertyKeyLon,
    +        final Direction direction) {
    +
    +        final double goalLat = 
    +            getNodeCoordinate(goalNodeId, propertyKeyLat);
    +        final double goalLon =
    +            getNodeCoordinate(goalNodeId, propertyKeyLon);
    +
    +        while (!openNodes.isEmpty() && running()) {
    +            int currentNodeId = openNodes.pop();
    +            if (currentNodeId == goalNodeId) {
    +                return;
    +            }
    +
    +            closedNodes.put(currentNodeId);
    +
    +            double currentNodeCost = 
    +                this.gCosts.getOrDefault(
    +                    currentNodeId, 
    +                    Double.MAX_VALUE);
    +
    +            graph.forEachRelationship(
    +                currentNodeId,
    +                direction,
    +                (source, target, relationshipId, weight) -> {
    +                    double neighbourLat = 
    +                        getNodeCoordinate(target, propertyKeyLat);
    +                    double neighbourLon = 
    +                        getNodeCoordinate(target, propertyKeyLon);
    +                    double heuristic = 
    +                        computeHeuristic(
    +                            neighbourLat, 
    +                            neighbourLon, 
    +                            goalLat,
    +                            goalLon);
    +
    +                    updateCosts(
    +                        source,
    +                        target,
    +                        weight + currentNodeCost,
    +                        heuristic);
    +
    +                    if (!closedNodes.contains(target)) {
    +                        openNodes.add(target, 0);
    +                    }
    +                    return true;
    +                });
    +
    +            progressLogger.logProgress(
    +                (double) currentNodeId / (nodeCount - 1));
    +        }
    +    }
    +    
    +    private double computeHeuristic(
    +        final double lat1,
    +        final double lon1,
    +        final double lat2,
    +        final double lon2) {
    +
    +        final int earthRadius = 6371;
    +        final double kmToNM = 0.539957;
    +        final double latDistance = Math.toRadians(lat2 - lat1);
    +        final double lonDistance = Math.toRadians(lon2 - lon1);
    +        final double a = Math.sin(latDistance / 2)
    +            * Math.sin(latDistance / 2)
    +            + Math.cos(Math.toRadians(lat1))
    +            * Math.cos(Math.toRadians(lat2))
    +            * Math.sin(lonDistance / 2)
    +            * Math.sin(lonDistance / 2);
    +        final double c = 2
    +            * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));
    +        final double distance = earthRadius * c * kmToNM;
    +        return distance;
    +    }
    +    
    +    private double getNodeCoordinate(
    +        final int nodeId,
    +        final String coordinateType) {
    +
    +        final long neo4jId = graph.toOriginalNodeId(nodeId);
    +        final Node node = dbService.getNodeById(neo4jId);
    +        return (double) node.getProperty(coordinateType);
    +    }
    +    
    +    private void updateCosts(
    +        final int source, 
    +        final int target, 
    +        final double newCost,
    +        final double heuristic) {
    +
    +        final double oldCost = 
    +            gCosts.getOrDefault(target, Double.MAX_VALUE);
    +
    +        if (newCost < oldCost) {
    +            gCosts.put(target, newCost);
    +            fCosts.put(target, newCost + heuristic);
    +            path.put(target, source);
    +        }
    +    }
    +    
    +    private void reset() {
    +        closedNodes.clear();
    +        openNodes.clear();
    +        gCosts.clear();
    +        fCosts.clear();
    +        path.clear();
    +        shortestPath.clear();
    +        totalCost = NO_PATH_FOUND;
    +    }
    +    
    +    public Stream<Result> resultStream() {
    +        return StreamSupport.stream(
    +            shortestPath.spliterator(), false)
    +                .map(cursor -> new Result(
    +                    graph.toOriginalNodeId(cursor.value),
    +                    gCosts.get(cursor.value)));
    +    }
    +
    +    public IntArrayDeque getFinalPath() {
    +        return shortestPath;
    +    }
    +    
    +    public double getTotalCost() {
    +        return totalCost;
    +    }
    +
    +    public int getPathLength() {
    +        return shortestPath.size();
    +    }
    +    
    +    @Override
    +    public ShortestPathAStar me() {
    +        return this;
    +    }
    +
    +    @Override
    +    public ShortestPathAStar release() {
    +        graph = null;
    +        gCosts = null;
    +        fCosts = null;
    +        openNodes = null;
    +        path = null;
    +        shortestPath = null;
    +        closedNodes = null;
    +        return this;
    +    }
    +    
    +    public static class Result {
    +
    +        /**
    +         * the neo4j node id
    +         */
    +        public final Long nodeId;
    +
    +        /**
    +         * cost to reach the node from startNode
    +         */
    +        public final Double cost;
    +
    +        public Result(Long nodeId, Double cost) {
    +            this.nodeId = nodeId;
    +            this.cost = cost;
    +        }
    +    }
    +}
    +
    + +

    The heuristic function is domain-specific. If chosen wisely, it can +significantly speed up the search. In our case, we achieved a 300x speedup, +enabling us to expand our search from 4,000 to 13,000 route points. The v3.4.0 of the +Neo4J graph algorithms shipped with the A* search algorithm.

    + +
    + +
    +
    +
    + + + + + + diff --git a/_site/blog/suckless-software/index.html b/_site/blog/suckless-software/index.html new file mode 100644 index 0000000..ea91072 --- /dev/null +++ b/_site/blog/suckless-software/index.html @@ -0,0 +1,142 @@ + + + + + How I manage Suckless software packages + + + + + How I manage Suckless software packages + + + + + + + + + + + + + +
    +
    +
    +

    HOW I MANAGE SUCKLESS SOFTWARE PACKAGES

    +
    30 NOVEMBER 2025
    +
    +

    Since suckless software requires users to modify the +source code and recompile to customize, I need a way to maintain patches over +the long term while retaining the ability to upgrade the software as new +versions are released.

    + +

    Initial setup

    + +

    When using a suckless program, I usually begin by cloning the project and +setting the remote URL to push a copy of the source code with my patches to my +own git repository:

    + +
    git clone git://git.suckless.org/dwm
    +git reset --hard <tag>
    +git remote set-url --push origin git@git.asciimx.com:/repos/dwm
    +
    + +

    This way, I can pull updates from the upstream project whenever I want, while +committing my changes to my own git repository. The git reset command aligns my +branch head with a stable release before applying patches or installing the +software.

    + +

    If all I want to do is reconfigure the software (e.g., change key bindings), +which is what I need most of the time, the recommended approach is to modify +the config.h file. If the config.h isn’t yet in the project, the following +command generates it from the defaults and compiles the software using make +clean <target> here <target> is the name of the application (e.g., dwm) +found in the Makefile. I modify the resulting config.h file and run make clean +install to install the software before committing and pushing my changes to my +git repo.

    + +

    dwm and slstatus

    + +

    Since dwm and slstatus are always running, make install will likely fail for +them. The operating system will prevent the installer from replacing running +executables with new ones. Hence, we must first stop the running instances of +these programs (Mod + Shift + q). Then, switch to a tty (Ctrl + Alt + F1), +log in, and change the directory to where dwm/slstatus is. We can run make +install to install the software and switch back to the graphical session +(Ctrl + Alt + F5).

    + +

    The key combinations for switching to the tty and back may differ across +systems. The ones listed above are for OpenBSD.

    + +

    Subsequent upgrades

    + +

    When suckless releases a new version, I run git pull --rebase to fetch the +upstream changes and rebase my patches on top of them. Because I tend to use +stable versions, I perform another interactive rebase to drop the commits +between the latest stable version tag and my patch before installing the +software.

    + +

    Commit log before upgrading:

    + +
    dt236  My patch.
    +3fkdf  Version 6.5.
    +
    + +

    Commit log after pulling:

    + +
    w467d  My patch.
    +gh25g  A commit.
    +g525g  Another commit.
    +3fkdf  Version 6.6.
    +vd425  Old commit.
    +q12vu  Another old commit.
    +3fkdf  Version 6.5.
    +
    + +

    Commit log after the interactive rebase:

    + +
    h57jh  My patch.
    +3fkdf  Version 6.6.
    +vd425  Old commit.
    +q12vu  Another old commit.
    +3fkdf  Version 6.5.
    +
    + +

    And finally, commit and push all the changes to my own git repository.

    + +
    + +
    +
    +
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