A General-purpose Task-parallel Programming System using Modern C++
-
Updated
Aug 15, 2024 - C++
A General-purpose Task-parallel Programming System using Modern C++
OpenCL integration for Python, plus shiny features
A curated list of awesome parallel computing resources
Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group
Heterogeneous programming in Julia
Concurrent CPU-GPU Programming using Task Models
Heterogeneous Research Platform (HERO) for exploration of heterogeneous computers consisting of programmable many-core accelerators and an application-class host CPU, including full-stack software and hardware.
A low-level execution library for analytic data processing.
GARDENIA: Graph Analytics Repository for Designing Efficient Next-generation Accelerators
⛔ DEPRECATED ⛔ HERO Software Development Kit
The Darmstadt Automotive Parallel HeterogeNEous (DAPHNE) Benchmark-Suite
A heterogeneous Apache Spark framework.
NAS Parallel Benchmarks for GPU
Flexible Computational Science (FleCSI) Project
High-Performance Computing: CPU Instructions, GPU OpenCL & CUDA, etc. ☀️
Quick references to notes on specific topics and their basic introductions
Intel LevelZero JNI library for TornadoVM
Platform-aware programming in Julia
Add a description, image, and links to the heterogeneous-parallel-programming topic page so that developers can more easily learn about it.
To associate your repository with the heterogeneous-parallel-programming topic, visit your repo's landing page and select "manage topics."