Rust for GPU & CUDA Acceleration: High-Performance Compute, Tensor Kernels, and Parallel Workloads for AI, HPC, and Quant Finance
by Hayden Van Der Post, Ethan Crossley
Rust for GPU & CUDA Acceleration examines performance-oriented computing with Rust and CUDA. It covers GPU acceleration, tensor kernels, and parallel workloads, with an emphasis on applications in artificial intelligence, high-performance computing, and quantitative finance.
About This Book
Rust for GPU & CUDA Acceleration focuses on using Rust and CUDA for demanding computational workloads.
The book addresses high-performance computing techniques, GPU acceleration, tensor kernels, and parallel processing.
Its stated application areas include artificial intelligence, high-performance computing, and quantitative finance.
This title is intended for readers exploring performance-oriented computing with Rust, CUDA, and modern parallel workloads.
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