Parallel &amp; High-Performance Computing Languages

8,506

1,751

$21M

Triton

Triton is a programming language and compiler framework designed for GPU programming, focusing on tensor computations and machine learning workloads. It enables developers to write high-performance code for GPU acceleration with Python-like syntax while providing low-level hardware control.

2,917

526

$7.7M

CUDA.jl

CUDA.jl is a Julia programming language package that provides a comprehensive interface to NVIDIA's CUDA toolkit, enabling GPU computing capabilities within Julia. It allows developers to write high-performance GPU code using Julia's native syntax while abstracting away many low-level CUDA details.

924

237

$3.4M

LFortran

LFortran is a modern, interactive LLVM-based Fortran compiler designed to be both a development and production compiler. It features a modular architecture, can compile Fortran code to machine code, and provides interactive REPL capabilities for Fortran development.

424

$12M

Futhark

:boom::computer::boom: A data-parallel functional programming language

379

$637K

DaCe

DaCe (Data-Centric Parallel Programming) is a programming framework that enables high-performance parallel computing by separating algorithm logic from execution optimization. It transforms Python programs with NumPy-like operations into stateful dataflow programs, allowing automatic optimization and efficient mapping to various hardware architectures like CPUs, GPUs, and FPGAs.

256