What does rust-gpu/rust-cuda do?

rust-cuda ist ein GPU-Programmier-Framework und Device-Compiler, der die Entwicklung und Ausführung von High-Performance-Kernels auf NVIDIA-Hardware mit Rust ermöglicht. Es bietet einen Driver-Wrapper zur Verwaltung von Device-Speicherallokation und Kernel-Launching und fungiert effektiv als System zum Schreiben von GPU-Compute-Logik, ohne auf C++ angewiesen zu sein.

What are the main features of rust-gpu/rust-cuda?

The main features of rust-gpu/rust-cuda are: GPU Compilers, GPU Kernel Programming, Compute Libraries, GPU Resource Management, CUDA Driver Wrappers, GPU Kernel Development, CUDA Kernel Compilers, GPU Compute Toolchains.

What are some open-source alternatives to rust-gpu/rust-cuda?

Open-source alternatives to rust-gpu/rust-cuda include: nvidia/cuda-python — cuda-python provides low-level Python bindings for the CUDA Driver and Runtime APIs. It serves as a programmatic… z-libs/zen-c — Zen-C is a multi-target systems language and source-to-source compiler that translates high-level logic into… answerdotai/gpu.cpp — gpu.cpp is a lightweight C++ library for executing low-level general-purpose GPU computation across different hardware… nvidia/cuda-samples — This repository is a collection of reference implementations and programming examples for the CUDA Toolkit. It serves… microsoft/directx-graphics-samples — This project is a collection of reference implementations and technical guides for building high-performance 3D… vladmandic/sdnext — SD.Next is an all-in-one web interface and multi-backend inference engine for generating, editing, and processing…

Rust Cuda - High-Performance NVIDIA GPU-Kerne…

Rust Cuda - High-Performance NVIDIA GPU-Kerne… | Awesome Repos

Features

GPU Compilers - Provides a complete toolchain that translates Rust source code into optimized NVIDIA GPU hardware instructions.
GPU Kernel Programming - Provides a framework for writing and executing high-performance GPU kernels using Rust.
Compute Libraries - Ships a compute library with hardware-optimized primitives for neural networks and raytracing.
GPU Resource Management - Implements a high-level driver interface to manage the lifecycle and allocation of GPU buffers and kernels.
CUDA Driver Wrappers - Provides a programmatic abstraction for controlling NVIDIA GPU device memory and kernel execution.
GPU Kernel Development - Provides a framework for managing thread indices and memory allocation to create device-side logic.
CUDA Kernel Compilers - Compiles GPU source code into target-specific CUDA kernels with a Rust interface.
GPU Compute Toolchains - Provides an integrated development environment and compiler for writing high-performance Rust compute kernels.
Intermediate Representations - Compiles Rust source code into a PTX-based intermediate representation for GPU execution.
CUDA Accelerated Neural Networks - Implements hardware-optimized primitives to accelerate deep learning workloads on NVIDIA GPUs.
GPU Kernel Primitives - Provides highly tuned GPU kernels for standard deep learning operations tuned for tensor cores.
Raytracing Primitives - Interfaces directly with specialized GPU circuits to compute light paths and perform image denoising.
Raytracing Simulations - Uses specialized GPU circuits to implement physical light transport and path tracing simulations.
Real-Time Raytracing - Implements real-time raytracing techniques using specialized hardware circuits for physical light transport.
Hardware Driver API Mappings - Provides mappings that link high-level programmatic calls to native NVIDIA hardware driver and runtime APIs.
Binary Instruction Execution - Executes low-level binary instructions on graphics hardware using a specialized intermediate representation.
Compilation Target Specifications - Defines specific hardware compute capabilities during compilation to optimize machine code for target versions.
Hardware-Targeted Compilation - Configures compilation rules to optimize binaries for specific GPU hardware revisions and architectures.

Open-Source-Alternativen zu Rust Cuda

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nvidia/cuda-python
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z-libs/zen-c
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Zen-C is a multi-target systems language and source-to-source compiler that translates high-level logic into human-readable GNU C or C11 code. It functions as a JIT-enabled programming language with an in-process compiler for real-time interactive code evaluation and testing. The project serves as a CUDA GPU kernel generator, mapping specialized syntax to CUDA C++ using device attributes to target graphics hardware. It acts as an interoperability layer capable of emitting compatible code for C++, Objective-C, and Lisp to bridge native system frameworks and libraries. The language includes an
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answerdotai/gpu.cpp
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gpu.cpp is a lightweight C++ library for executing low-level general-purpose GPU computation across different hardware vendors and operating systems. It functions as a portable GPU wrapper, kernel orchestrator, and tensor management system using the WebGPU specification to abstract device initialization, buffer transfers, and compute shader dispatching. The library provides a framework for defining compute kernels from shader code and managing their asynchronous dispatch and synchronization. It enables the execution of cross-platform compute shaders and the orchestration of GPU tasks through
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nvidia/cuda-samples
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This repository is a collection of reference implementations and programming examples for the CUDA Toolkit. It serves as a GPGPU implementation guide and a parallel computing reference, providing code for using graphics hardware to perform general-purpose calculations and high-performance parallel processing. The project provides specific samples for GPU kernel development and resource management. These include demonstrations of multi-GPU communication, peer-to-peer memory access, and system hardware inspection to coordinate distributed GPU resources. The codebase covers a wide range of capa
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Alle 30 Alternativen zu Rust Cuda anzeigen

Rust-GPUrust-cuda

Rust Cuda

Features

Open-Source-Alternativen zu Rust Cuda

NVIDIA/cuda-python

z-libs/Zen-C

AnswerDotAI/gpu.cpp

NVIDIA/cuda-samples

Frequently asked questions

Star-Verlauf

Frequently asked questions

Open-Source-Alternativen zu Rust Cuda

NVIDIA/cuda-python

z-libs/Zen-C

AnswerDotAI/gpu.cpp

NVIDIA/cuda-samples