284 lines
8.2 KiB
Plaintext
284 lines
8.2 KiB
Plaintext
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#include <stdint.h>
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#include <stdio.h>
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#include <string.h>
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#include <vector>
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#include <stdexcept>
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// Include shared device functions
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#include "rinhash_device.cuh"
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#include "argon2d_device.cuh"
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#include "sha3-256.hip.cu"
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#include "blake3_device.cuh"
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// Modified kernel to use device functions and write output
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extern "C" __global__ void rinhash_cuda_kernel(
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const uint8_t* input,
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size_t input_len,
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uint8_t* output,
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block* argon2_memory
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) {
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__shared__ uint8_t blake3_out[32];
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__shared__ uint8_t argon2_out[32];
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if (threadIdx.x == 0) {
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// Step 1: BLAKE3 hash
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light_hash_device(input, input_len, blake3_out);
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// Step 2: Argon2d hash (t_cost=2, m_cost=64, lanes=1)
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uint8_t salt[11] = { 'R','i','n','C','o','i','n','S','a','l','t' };
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device_argon2d_hash(argon2_out, blake3_out, 32, 2, 64, 1, argon2_memory, salt, 11);
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// Step 3: SHA3-256 hash
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uint8_t sha3_out[32];
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sha3_256_device(argon2_out, 32, sha3_out);
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// Write result to output
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for (int i = 0; i < 32; i++) {
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output[i] = sha3_out[i];
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}
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}
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__syncthreads();
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}
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// RinHash HIP implementation for a single header
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extern "C" void rinhash_cuda(const uint8_t* input, size_t input_len, uint8_t* output) {
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// Argon2 parameters
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const uint32_t m_cost = 64; // blocks (64 KiB)
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uint8_t *d_input = nullptr;
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uint8_t *d_output = nullptr;
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block *d_memory = nullptr;
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cudaError_t err;
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// Allocate device buffers
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err = cudaMalloc(&d_input, input_len);
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if (err != cudaSuccess) {
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fprintf(stderr, "HIP error: Failed to allocate input memory: %s\n", cudaGetErrorString(err));
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return;
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}
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err = cudaMalloc(&d_output, 32);
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if (err != cudaSuccess) {
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fprintf(stderr, "HIP error: Failed to allocate output memory: %s\n", cudaGetErrorString(err));
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cudaFree(d_input);
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return;
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}
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// Allocate Argon2 memory once per hash
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err = cudaMalloc(&d_memory, m_cost * sizeof(block));
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if (err != cudaSuccess) {
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fprintf(stderr, "HIP error: Failed to allocate argon2 memory: %s\n", cudaGetErrorString(err));
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cudaFree(d_input);
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cudaFree(d_output);
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return;
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}
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// Copy input header
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err = cudaMemcpy(d_input, input, input_len, cudaMemcpyHostToDevice);
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if (err != cudaSuccess) {
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fprintf(stderr, "HIP error: Failed to copy input to device: %s\n", cudaGetErrorString(err));
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cudaFree(d_memory);
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cudaFree(d_input);
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cudaFree(d_output);
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return;
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}
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// Launch the kernel (single thread is fine for single hash)
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rinhash_cuda_kernel<<<1, 1>>>(d_input, input_len, d_output, d_memory);
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// Wait
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err = cudaDeviceSynchronize();
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if (err != cudaSuccess) {
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fprintf(stderr, "HIP error during kernel execution: %s\n", cudaGetErrorString(err));
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cudaFree(d_memory);
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cudaFree(d_input);
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cudaFree(d_output);
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return;
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}
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// Copy result
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err = cudaMemcpy(output, d_output, 32, cudaMemcpyDeviceToHost);
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if (err != cudaSuccess) {
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fprintf(stderr, "HIP error: Failed to copy output from device: %s\n", cudaGetErrorString(err));
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}
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// Free
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cudaFree(d_memory);
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cudaFree(d_input);
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cudaFree(d_output);
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}
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// Helper function to convert a block header to bytes
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extern "C" void blockheader_to_bytes(
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const uint32_t* version,
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const uint32_t* prev_block,
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const uint32_t* merkle_root,
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const uint32_t* timestamp,
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const uint32_t* bits,
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const uint32_t* nonce,
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uint8_t* output,
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size_t* output_len
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) {
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size_t offset = 0;
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memcpy(output + offset, version, 4); offset += 4;
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memcpy(output + offset, prev_block, 32); offset += 32;
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memcpy(output + offset, merkle_root, 32); offset += 32;
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memcpy(output + offset, timestamp, 4); offset += 4;
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memcpy(output + offset, bits, 4); offset += 4;
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memcpy(output + offset, nonce, 4); offset += 4;
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*output_len = offset;
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}
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// Batch processing version for mining (sequential per header for correctness)
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extern "C" void rinhash_cuda_batch(
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const uint8_t* block_headers,
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size_t block_header_len,
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uint8_t* outputs,
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uint32_t num_blocks
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) {
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// Argon2 parameters
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const uint32_t m_cost = 64;
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// Allocate reusable device buffers
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uint8_t *d_input = nullptr;
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uint8_t *d_output = nullptr;
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block *d_memory = nullptr;
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cudaError_t err;
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err = cudaMalloc(&d_input, block_header_len);
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if (err != cudaSuccess) {
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fprintf(stderr, "HIP error: Failed to allocate header buffer: %s\n", cudaGetErrorString(err));
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return;
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}
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err = cudaMalloc(&d_output, 32);
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if (err != cudaSuccess) {
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fprintf(stderr, "HIP error: Failed to allocate output buffer: %s\n", cudaGetErrorString(err));
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cudaFree(d_input);
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return;
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}
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err = cudaMalloc(&d_memory, m_cost * sizeof(block));
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if (err != cudaSuccess) {
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fprintf(stderr, "HIP error: Failed to allocate argon2 memory: %s\n", cudaGetErrorString(err));
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cudaFree(d_input);
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cudaFree(d_output);
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return;
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}
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for (uint32_t i = 0; i < num_blocks; i++) {
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const uint8_t* header = block_headers + i * block_header_len;
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uint8_t* out = outputs + i * 32;
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err = cudaMemcpy(d_input, header, block_header_len, cudaMemcpyHostToDevice);
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if (err != cudaSuccess) {
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fprintf(stderr, "HIP error: copy header %u failed: %s\n", i, cudaGetErrorString(err));
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break;
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}
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rinhash_cuda_kernel<<<1, 1>>>(d_input, block_header_len, d_output, d_memory);
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err = cudaDeviceSynchronize();
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if (err != cudaSuccess) {
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fprintf(stderr, "HIP error in kernel %u: %s\n", i, cudaGetErrorString(err));
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break;
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}
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err = cudaMemcpy(out, d_output, 32, cudaMemcpyDeviceToHost);
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if (err != cudaSuccess) {
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fprintf(stderr, "HIP error: copy out %u failed: %s\n", i, cudaGetErrorString(err));
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break;
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}
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}
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cudaFree(d_memory);
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cudaFree(d_output);
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cudaFree(d_input);
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}
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// Main RinHash function that would be called from outside
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extern "C" void RinHash(
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const uint32_t* version,
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const uint32_t* prev_block,
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const uint32_t* merkle_root,
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const uint32_t* timestamp,
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const uint32_t* bits,
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const uint32_t* nonce,
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uint8_t* output
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) {
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uint8_t block_header[80];
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size_t block_header_len;
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blockheader_to_bytes(
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version,
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prev_block,
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merkle_root,
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timestamp,
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bits,
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nonce,
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block_header,
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&block_header_len
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);
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rinhash_cuda(block_header, block_header_len, output);
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}
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// Mining function that tries different nonces (host-side best selection)
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extern "C" void RinHash_mine(
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const uint32_t* version,
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const uint32_t* prev_block,
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const uint32_t* merkle_root,
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const uint32_t* timestamp,
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const uint32_t* bits,
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uint32_t start_nonce,
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uint32_t num_nonces,
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uint32_t* found_nonce,
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uint8_t* target_hash,
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uint8_t* best_hash
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) {
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const size_t block_header_len = 80;
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std::vector<uint8_t> block_headers(block_header_len * num_nonces);
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std::vector<uint8_t> hashes(32 * num_nonces);
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for (uint32_t i = 0; i < num_nonces; i++) {
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uint32_t current_nonce = start_nonce + i;
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uint8_t* header = block_headers.data() + i * block_header_len;
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size_t header_len;
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blockheader_to_bytes(
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version,
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prev_block,
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merkle_root,
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timestamp,
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bits,
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¤t_nonce,
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header,
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&header_len
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);
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}
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rinhash_cuda_batch(block_headers.data(), block_header_len, hashes.data(), num_nonces);
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memcpy(best_hash, hashes.data(), 32);
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*found_nonce = start_nonce;
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for (uint32_t i = 1; i < num_nonces; i++) {
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uint8_t* current_hash = hashes.data() + i * 32;
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bool is_better = false;
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for (int j = 0; j < 32; j++) {
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if (current_hash[j] < best_hash[j]) { is_better = true; break; }
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else if (current_hash[j] > best_hash[j]) { break; }
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}
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if (is_better) {
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memcpy(best_hash, current_hash, 32);
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*found_nonce = start_nonce + i;
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}
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}
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}
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