}
if (this.#device == null) throw new Error(`WebGPU device failed to load.`)
- // Set up uniform buffer object
- // Note: u32 size is 4, but total alignment must be multiple of 16
- const uboView = new DataView(new ArrayBuffer(48))
- for (let i = 0; i < 64; i += 8) {
- const uint32 = hash.slice(i, i + 8)
- uboView.setUint32(i / 2, parseInt(uint32, 16))
- }
- uboView.setBigUint64(32, BigInt(`0x${work}`), true)
- uboView.setUint32(40, threshold, true)
- this.#device.queue.writeBuffer(this.#uboBuffer, 0, uboView)
-
- // Reset `nonce` and `found` to 0u in WORK before each calculation
- this.#device.queue.writeBuffer(this.#gpuBuffer, 0, new Uint32Array([0, 0, 0]))
-
- // Bind UBO read and GPU write buffers
- const bindGroup = this.#device.createBindGroup({
- layout: this.#bindGroupLayout,
- entries: [
- {
- binding: 0,
- resource: {
- buffer: this.#uboBuffer
- },
- },
- {
- binding: 1,
- resource: {
- buffer: this.#gpuBuffer
- },
- },
- ],
- })
-
- // Create command encoder to issue commands to GPU and initiate computation
- const commandEncoder = this.#device.createCommandEncoder()
- const passEncoder = commandEncoder.beginComputePass()
-
- // Issue commands and end compute pass structure
- passEncoder.setPipeline(this.#pipeline)
- passEncoder.setBindGroup(0, bindGroup)
- passEncoder.dispatchWorkgroups(1)
- passEncoder.end()
-
- // Copy 8-byte nonce and 4-byte found flag from GPU to CPU for reading
- commandEncoder.copyBufferToBuffer(this.#gpuBuffer, 0, this.#cpuBuffer, 0, 12)
-
- // End computation by passing array of command buffers to command queue for execution
- this.#device.queue.submit([commandEncoder.finish()])
-
- // Read results back to Javascript and then unmap buffer after reading
- let data = null
- try {
- await this.#cpuBuffer.mapAsync(GPUMapMode.READ)
- await this.#device.queue.onSubmittedWorkDone()
- data = new DataView(this.#cpuBuffer.getMappedRange().slice(0))
- this.#cpuBuffer.unmap()
- } catch (err) {
- console.warn(`Error getting data from GPU. ${err}`)
- return this.validate(work, hash, threshold)
- }
- if (data == null) throw new Error(`Failed to get data from buffer.`)
-
+ const data = await this.#dispatch(BigInt(`0x${work}`), hash, threshold, 1)
const nonce = data.getBigUint64(0, true).toString(16).padStart(16, '0')
const found = !!data.getUint32(8)
this.#busy = false
<link rel="icon" href="./favicon.ico">
<script type="module" src="../dist/global.min.js"></script>
<!-- Comment out nano-pow from CDN if testing locally -->
- <script type="module" src="https://cdn.jsdelivr.net/npm/nano-pow@0.0.1/dist/global.min.js"></script>
+ <!-- <script type="module" src="https://cdn.jsdelivr.net/npm/nano-pow@0.0.1/dist/global.min.js"></script> -->
<script type="module" src="https://cdn.jsdelivr.net/npm/nano-webgl-pow@1.1.1/nano-webgl-pow.js"></script>
<script type="module">
const { NanoPowGl, NanoPowGpu } = NanoPow
console.log(`Geometric Mean: ${geometric} ms`)
}
+ console.log(`%cNanoWebGpu`, 'color:green', 'Testing validation function')
+ const expectBad = await NanoPowGpu.validate('0000000000000000', '0000000000000000000000000000000000000000000000000000000000000000')
+ console.log(`validate() output for bad nonce is ${expectBad === false ? 'incorrect' : 'correct'}`)
+ const expectGood = await NanoPowGpu.validate('47c83266398728cf', '92BA74A7D6DC7557F3EDA95ADC6341D51AC777A0A6FF0688A5C492AB2B2CB40D')
+ console.log(`validate() output for good nonce is ${expectGood === true ? 'correct' : 'incorrect'}`)
+
console.log(`%cNanoPowGpu `, 'color:green', `Calculate proof-of-work for ${COUNT} unique send block hashes`)
times = []
for (let i = 0; i < COUNT; i++) {