Gpu Programming
Showing 15 of 15 projects
A high-performance CPU, GPU, and memory profiler for Python with AI-powered optimization suggestions.
A fast, functional WebGL library that simplifies graphics programming by removing shared state.
A safe and rich Rust wrapper around the Vulkan graphics API, preventing invalid usage through compile-time and runtime checks.
A C++ parallel algorithms library that enables high-performance computing on GPUs and multicore CPUs with a productivity-focused interface.
Header-only C++ bindings for the Vulkan graphics API, offering type safety, RAII handles, and STL support without runtime overhead.
A curated list of awesome Vulkan libraries, debuggers, tutorials, samples, and resources for graphics developers.
A curated list of awesome Vulkan libraries, debuggers, tutorials, samples, and resources for graphics developers.
A compiler for a C-based SPMD language that generates high-performance SIMD code for CPUs and GPUs.
A high-performance GPU toolkit for WebGL-based data visualization, providing low-level WebGL/WebGPU abstractions.
NVIDIA's implementation of the C++ Standard Library for CUDA C++ development.
A lightweight, type-safe Rust wrapper for the Vulkan graphics and compute API.
A lightweight, type-safe Rust wrapper for the Vulkan graphics and compute API.
A comprehensive guide for developers starting with the Vulkan graphics and compute API.
A cross-platform abstraction layer for Direct3D 11/12 and Vulkan with automatic resource management and validation.
A write-once-run-anywhere GPGPU library for Rust that abstracts WebGPU for CUDA-like compute with portability across desktop, mobile, and browser.
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