Matt Hess
7730b6993f
- Create assembly/vm.ts with full RandomX VM implementation
- 256 instructions, 2048 iterations per hash
- Native u64/f64 operations in WebAssembly
- Full mode dataset lookups (2GB pre-computed)
- Update miner to use WASM VM for full mode
- mining-worker-asm.js uses pre-compiled WASM
- ~32 H/s per thread (4x faster than light mode)
- 8 threads achieves ~260 H/s
- Clean up redundant code
- Remove mining-worker-full.js (old JIT approach)
- Consolidate 'asm' mode into 'full' mode
54 lines
1.4 KiB
JavaScript
54 lines
1.4 KiB
JavaScript
/**
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* RandomX Performance Benchmark
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*/
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import { RandomXContext } from '../src/randomx/index.js';
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async function benchmark() {
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console.log('RandomX Performance Benchmark');
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console.log('=============================\n');
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const ctx = new RandomXContext();
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console.log('Initializing cache (256MB)...');
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const initStart = Date.now();
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await ctx.init(new Uint8Array(32)); // 32-byte key
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const initTime = Date.now() - initStart;
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console.log(`Cache init: ${initTime}ms\n`);
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// Warm up
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console.log('Warming up (10 hashes)...');
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for (let i = 0; i < 10; i++) {
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ctx.hash(`warmup ${i}`);
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}
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// Benchmark
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const iterations = 100;
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console.log(`\nBenchmarking ${iterations} hashes...`);
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const hashes = [];
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const start = Date.now();
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for (let i = 0; i < iterations; i++) {
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const hash = ctx.hashHex(`benchmark input ${i}`);
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hashes.push(hash);
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}
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const elapsed = Date.now() - start;
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const hashesPerSecond = (iterations / elapsed) * 1000;
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console.log(`\nResults:`);
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console.log(` Total time: ${elapsed}ms`);
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console.log(` Hashes: ${iterations}`);
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console.log(` Speed: ${hashesPerSecond.toFixed(2)} H/s`);
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console.log(` Avg per hash: ${(elapsed / iterations).toFixed(2)}ms`);
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// Show sample hashes
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console.log(`\nSample hashes:`);
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console.log(` [0]: ${hashes[0]}`);
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console.log(` [1]: ${hashes[1]}`);
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console.log(` [99]: ${hashes[99]}`);
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}
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benchmark().catch(console.error);
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