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Thin, unified, C++-flavored wrappers for the CUDA APIs
The main features of eyalroz/cuda-api-wrappers are: Concurrency and Parallelism.
Projects with overlapping indexed features include: microsoft/rusttraining — This project is a structured Rust programming curriculum and systems programming course designed to take learners from… amanieu/asyncplusplus — Async++ concurrency framework for C++11. andreiavrammsd/cpp-channel — C++11 thread-safe container for sharing data between threads (synchronized queue). apple/swift-corelibs-libdispatch — The libdispatch Project, (a.k.a. Grand Central Dispatch), for concurrency on multicore hardware. arrayfire/arrayfire — ArrayFire is a hardware-agnostic compute framework and JIT-compiled tensor engine designed for high-performance… ahoward/forkoff — brain-dead simple parallel processing for ruby.
This project is a structured Rust programming curriculum and systems programming course designed to take learners from beginner to expert levels. It provides a comprehensive set of training materials focused on mastering the core syntax, idioms, and technical foundations of the Rust language. The project features a specialized language transition framework that maps concepts from C++, managed languages, and dynamic typing to Rust idioms. This allows developers from different ecosystems to translate architectural patterns and memory models into idiomatic Rust. The training covers a broad rang
Async++ concurrency framework for C++11
C++11 thread-safe container for sharing data between threads (synchronized queue)
