docker cuda

rin/miner/Dockerfile.cuda-linux

@@ -0,0 +1,59 @@
+# Dockerfile for building RinHash CUDA implementation on Linux
+FROM nvidia/cuda:12.2-devel-ubuntu22.04
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Install build tools and dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    cmake \
+    git \
+    wget \
+    curl \
+    pkg-config \
+    && rm -rf /var/lib/apt/lists/*
+
+# Create build directory
+WORKDIR /build
+
+# Copy source files
+COPY gpu/RinHash-cuda/ /build/
+
+# Build the CUDA implementation
+RUN mkdir -p bin && \
+    nvcc -O3 -std=c++11 \
+    -arch=sm_50 \
+    -gencode arch=compute_50,code=sm_50 \
+    -gencode arch=compute_52,code=sm_52 \
+    -gencode arch=compute_60,code=sm_60 \
+    -gencode arch=compute_61,code=sm_61 \
+    -gencode arch=compute_70,code=sm_70 \
+    -gencode arch=compute_75,code=sm_75 \
+    -gencode arch=compute_80,code=sm_80 \
+    -gencode arch=compute_86,code=sm_86 \
+    -I. \
+    rinhash.cu sha3-256.cu \
+    -o bin/rinhash-cuda-miner \
+    -lcuda -lcudart
+
+# Build test program
+RUN nvcc -O3 -std=c++11 \
+    -arch=sm_50 \
+    -gencode arch=compute_50,code=sm_50 \
+    -gencode arch=compute_52,code=sm_52 \
+    -gencode arch=compute_60,code=sm_60 \
+    -gencode arch=compute_61,code=sm_61 \
+    -gencode arch=compute_70,code=sm_70 \
+    -gencode arch=compute_75,code=sm_75 \
+    -gencode arch=compute_80,code=sm_80 \
+    -gencode arch=compute_86,code=sm_86 \
+    -I. \
+    test_miner.cu rinhash.cu sha3-256.cu \
+    -o bin/test_miner \
+    -lcuda -lcudart
+
+# Create output directory for built binaries
+RUN mkdir -p /output
+
+# Default command to copy binaries to output
+CMD ["sh", "-c", "cp bin/* /output/ && echo 'Build completed successfully! Binaries copied to /output/'"]

rin/miner/build-cuda-linux-docker.sh

@@ -0,0 +1,85 @@
+#!/bin/bash
+# Build script for RinHash CUDA implementation using Docker
+# This script builds the CUDA miner in a containerized environment
+
+echo "================================================"
+echo "  RinHash CUDA Linux Docker Build Script"
+echo "================================================"
+
+# Check if Docker is available
+if ! command -v docker &> /dev/null; then
+    echo "ERROR: Docker not found in PATH"
+    echo "Please install Docker first"
+    exit 1
+fi
+
+echo "Docker found:"
+docker --version
+echo ""
+
+# Build directory setup
+BUILD_DIR="$(dirname "$0")"
+cd "$BUILD_DIR" || exit 1
+
+echo "Building Docker image for CUDA compilation..."
+echo ""
+
+# Build the Docker image
+docker build -f Dockerfile.cuda-linux -t rinhash-cuda-builder .
+
+if [ $? -ne 0 ]; then
+    echo ""
+    echo "==============================================="
+    echo "   DOCKER BUILD FAILED!"
+    echo "==============================================="
+    echo ""
+    echo "Common issues:"
+    echo "1. Docker not properly installed"
+    echo "2. Insufficient permissions (try with sudo)"
+    echo "3. Network connectivity issues"
+    echo ""
+    exit 1
+fi
+
+echo ""
+echo "Docker image built successfully!"
+echo ""
+
+# Create output directory
+mkdir -p cuda-output
+
+echo "Running container to build CUDA binaries..."
+echo ""
+
+# Run the container and extract binaries
+docker run --rm \
+    -v "$(pwd)/cuda-output:/output" \
+    rinhash-cuda-builder
+
+if [ $? -eq 0 ]; then
+    echo ""
+    echo "==============================================="
+    echo "   BUILD SUCCESSFUL!"
+    echo "==============================================="
+    echo ""
+    echo "Binaries created in cuda-output/:"
+    ls -la cuda-output/
+    echo ""
+    echo "To test the miner (requires NVIDIA GPU):"
+    echo "  ./cuda-output/test_miner"
+    echo ""
+    echo "To run the miner:"
+    echo "  ./cuda-output/rinhash-cuda-miner"
+    echo ""
+else
+    echo ""
+    echo "==============================================="
+    echo "   BUILD FAILED!"
+    echo "==============================================="
+    echo ""
+    echo "Check the error messages above for details."
+    echo ""
+    exit 1
+fi
+
+echo "CUDA build completed successfully!"