Showing 1-20 of 24 projects
A high-performance task-parallel programming system for C++ developers building concurrent and heterogeneous applications.
Fast C++ inference engine for Transformer models, supporting CUDA, MKL, and other optimizations.
joblib provides easy-to-use caching, parallel computing, and memoization for Python functions.
A C++ performance-portable programming ecosystem with abstractions for parallel execution and memory access.
NVIDIA's CUDA Core Compute Libraries for accelerated computing and GPU programming in C++
Chapel is a high-performance, open-source programming language designed for productive parallel computing.
Go library for scientific computing, numerical analysis, and data visualization tools for developers.
A collection of research papers and tools related to using machine learning for compiler and system optimization.
A high-performance finite element library for scientific computing and parallel computing in C++.
Concurrent Python made simple, with support for asyncio, multiprocessing, and threading.
A high-performance C++ SIMD vector library for data-parallel computing across various CPU architectures.
Official git repository of Elmer FEM software, a multi-physics finite element solver for research and engineering applications.
A symbolic programming library for high-performance, parallel, and symbolic computing in Julia.
TornadoVM is a heterogeneous programming framework that enables developers to leverage GPUs and other accelerators for improved performance in Java applications.
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices.
A C++ framework for building parallel multi-disciplinary simulation software with a Python interface.
Adaptive is a parallel active learning library for efficiently learning mathematical functions.
A Rust parallel computing library for efficient execution of tasks in multiple processes.
OpenCL integration for Python, with advanced features for parallel computing and GPU acceleration.
GRASS is a free and open-source geospatial processing engine for spatial data analysis and visualization.
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