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GPU COMPUTING WITH WGPU HIGH-PERFORMANCE PARALLEL PROGRAMMING IN RUST: Build compute shaders, parallel algorithms, GPU applications for scientific computing, machine learning, and data processing.
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GPU COMPUTING WITH WGPU HIGH-PERFORMANCE PARALLEL PROGRAMMING IN RUST: Build compute shaders, parallel algorithms, GPU applications for scientific computing, machine learning, and data processing.
GPU COMPUTING WITH WGPU HIGH-PERFORMANCE PARALLEL PROGRAMMING IN RUST: Build compute shaders, parallel algorithms, GPU applications for scientific computing, machine learning, and data processing.
Item #: 275985673

GPU COMPUTING WITH WGPU HIGH-PERFORMANCE PARALLEL PROGRAMMING IN RUST: Build compute shaders, parallel algorithms, GPU applications for scientific

Item #: 275985673

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    Shop GPU COMPUTING WITH WGPU HIGH-PERFORMANCE PARALLEL PROGRAMMING IN RUST: Build compute shaders, parallel algorithms, GPU applications for scientific computing, machine learning, and data processing. online at a best price in Saudi Arabia. B0FWFP5CDP
    • Build fast and portable GPU compute software in Rust with wgpu and WGSL.GPU programming does not have to be opaque. Developers need a clear execution model, a disciplined way to move data, and kernels that benchmark well on Vulkan, Metal, and Direct3D 12 as well as in the browser with WebGPU.This book turns WebGPU concepts into production code. You will set up reliable host side Rust, write WGSL that is safe and predictable, and ship compute pipelines that hold up under profiling and cross platform constraints.WGSL essentials for compute, scalar and vector types, address spaces, barriers, atomics, and binding models that scaleHost to GPU data flow, buffer usage flags, queue writes, safe mapping and lifetimes, bytemuck and encase layouts that match WGSLPipeline creation, shader module compilation and caching, dispatch planning with workgroup sizing and grids that benchmark wellLimits and feature negotiation, portable use of push constants and overridable constants, timestamp and statistics queriesData parallel patterns that ship, map and transform, reductions and scans, histograms and compaction, gather and scatter with prefix sumsSorting recipes, fixed size bitonic passes and large array radix pipelines with stable key value variants and memory trade offsDense linear algebra for scientific workloads, tiled matrix multiply with f16 inputs and f32 accumulate, batched GEMM and GEMV, mixed precision and numerical stabilityConvolutions, stencils with halos and shared memory double buffering, FFT butterflies and bit reversal with ping pong buffersGraph algorithms on GPUs, CSR layout and frontier structures, parallel BFS and SSSP variants with work queues, load balancing and work stealingProfiling and debugging in practice, timestamp conversion to nanoseconds, RAII timing guards, RenderDoc, PIX, and Xcode capture checklistsWatchdog safe scheduling for long kernels, splitting dispatches without losing throughput, correctness checks and termination strategiesCross platform deployment, Vulkan, Metal, D3D12 backends and adapter quirks, Web builds with Wasm and WebGPU, feature gating and fallbacksCase studies, ONNX inference with wonnx and custom hot kernels, a Burn integration with a wgpu backed custom op and autotuning hooks, and a GPU data pipeline for scan sort group byThis is a code heavy guide with working Rust and WGSL listings that you can run and adapt for real projects.Get the practical reference you will return to, and start building GPU accelerated applications with confidence, grab your copy today.
    Publication date October 15, 2025
    Language English
    File size 601 KB
    Screen Reader Supported
    Enhanced typesetting Enabled
    X-Ray Not Enabled
    Word Wise Not Enabled
    Print length 360 pages
    Page Flip Enabled
    Item Weight0.5 lbs (230 grams)

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    GPU COMPUTING WITH WGPU HIGH-PERFORMANCE PARALLEL PROGRAMMING IN RUST: Build compute shaders, parallel algorithms, GPU applications for scientific computing, machine learning, and data processing.

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