Welcome to xdagj-native-randomx

Donation address

XDAG：BkcVG4i1BfxUJLdNPdctaCReBoyn4j32d

Development is based on xdagj community-driven

RandomX

RandomX is a proof-of-work (PoW) algorithm that is optimized for general-purpose CPUs. RandomX uses random code execution (hence the name) together with several memory-hard techniques to minimize the efficiency advantage of specialized hardware.

RandomX

Xdagj

The java version of xdag

Xdagj

Xdagj-Native-RandomX

xdagj-native-randomx is an implements of RandomX use Java JNA.

Install

1. system

JDK   : v17
Maven : v3.9.1

2. compile

2.1 checkout

git clone https://github.com/XDagger/xdagj-native-randomx.git
cd xdagj-native-randomx
git submodule init
git submodule update

2.2 compile randomx lib

2.2.1 compile randomx share lib

cd randomx
mkdir build && cd build
cmake .. -DARCH=native -DBUILD_SHARED_LIBS=ON -DCMAKE_C_FLAGS="-fPIC"
make
cp -i librandomx.dylib ../../src/main/resources
overwrite ../../src/main/resources/librandomx.dylib? (y/n [n]) y

2.2.2 compile java lib

cd ../../
mvn package

3. maven system dependency

<dependency>
    <groupId>io.xdag</groupId>
    <artifactId>xdagj-native-randomx</artifactId>
    <version>0.1.7</version>
</dependency>

4. example

package io.xdag.crypto.randomx;

import java.nio.charset.StandardCharsets;
import java.util.HexFormat;
import java.util.List;

public class Example {

        String key = "hello xdagj-native-randomx";
        byte[] keyBytes = key.getBytes(StandardCharsets.UTF_8);
    
        // 1. build randomx jna wrapper
        RandomXWrapper randomXWrapper = RandomXWrapper.builder()
                .flags(List.of(RandomXFlag.JIT, RandomXFlag.HARD_AES, RandomXFlag.ARGON2))
                .fastInit(false)
                .miningMode(false)
                .build();
    
        byte[] seed = new byte[]{(byte)1, (byte)2, (byte)3, (byte)4};
        // 2. init dataset or cache
            randomXWrapper.init(seed);
    
        // 3. create randomxVm
        RandomXVM randomxVm = randomXWrapper.createVM();
    
        // 4. calculate hash
        byte[] hash = randomxVm.getHash(keyBytes);
    
        // 5. print result
        HexFormat hex = HexFormat.of();
        System.out.println("message:" + key);
        System.out.println("hash:" + hex.formatHex(hash));
    }
}

5. benchmark

JMH is a Java harness for building, running, and analysing nano/micro/milli/macro benchmarks written in Java and other languages targetting the JVM

result of ubuntu:

system ：macOS 13.3.1
CPU    ：Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz
RAM    ：16 GB 2667 MHz DDR4

Benchmark	Mode	Cnt	Score	Error	Units
RandomXJNAPerformance.testHash	thrpt	25	75.130	± 2.128	ops/s
RandomXJNAPerformance.testHash	avgt	25	0.015	± 0.001	s/op