wgsl-fft 0.1.0

GPU-accelerated FFT using Webgpu compute shaders
Documentation 
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# Dockerfile for FFT Rivalry Leaderboard with CUDA support
# Build with: docker build -t fft-rivalry-leaderboard -f scripts/Dockerfile.cuda .

FROM docker.io/nvidia/cuda:11.8.0-devel-ubuntu22.04

# Install system dependencies
RUN apt-get update && apt-get install -y \
    curl \
    build-essential \
    pkg-config \
    libssl-dev \
    cmake \
    git \
    libx11-dev \
    libasound2-dev \
    libudev-dev \
    libwayland-dev \
    libxkbcommon-dev \
    && rm -rf /var/lib/apt/lists/*

# Install Rust
RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
ENV PATH "/root/.cargo/bin:${PATH}"

# Set up CUDA environment
ENV CUDA_HOME /usr/local/cuda
ENV LD_LIBRARY_PATH /usr/local/cuda/lib64:${LD_LIBRARY_PATH}
ENV PATH /usr/local/cuda/bin:${PATH}

# Verify CUDA toolchain (build stage has no guaranteed GPU device access)
RUN nvcc --version

# Set working directory
WORKDIR /app

# Copy project files
COPY . .

# Build the project with CUDA features
RUN cargo build --release --features cuda

# Set default command
CMD ["cargo", "run", "--example", "rivalry_leaderboard", "--release", "--features", "cuda"]