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The Wayback Machine - https://web.archive.org/web/20211030103933/https://github.com/topics/heterogeneous-parallel-programming
#
heterogeneous-parallel-programming
Here are
48 public repositories
matching this topic...
A General-purpose Parallel and Heterogeneous Task Programming System
OpenCL integration for Python, plus shiny features
Updated
Oct 20, 2021
Python
pocl - Portable Computing Language
A curated list of awesome parallel computing resources
Abstraction Library for Parallel Kernel Acceleration 🦙
Heterogeneous programming in Julia
Updated
Oct 27, 2021
Julia
Concurrent CPU-GPU Programming using Task Models
GARDENIA: Graph Analytics Repository for Designing Efficient Next-generation Accelerators
HERO Software Development Kit
Updated
Oct 11, 2019
Shell
A heterogeneous Apache Spark framework.
The Darmstadt Automotive Parallel HeterogeNEous (DAPHNE) Benchmark-Suite
Quick references to notes on specific topics and their basic introductions
High-Performance Computing: CPU Instructions, GPU OpenCL & CUDA, etc. ☀️
Updated
Sep 23, 2021
Python
OpenCL based lightweight c++ computing library
High-Performance Tucker Factorization on Heterogeneous Platforms (GTA) - TPDS 2019
NAS Parallel Benchmarks for GPU with CUDA
Updated
Jul 29, 2021
Cuda
Weasel language is a project i created to proof of concept that we can support heterogeneous internally inside a language.
This version of crispy-DOOM uses 8 HW accelerators on the FPGA
The Heterogeneous Queuing Framework utilizing Fibers
Repository for development of the PRiME Framework software.
Heterogeneous Parallel implementation to solve the Connected Components problem using OpenMP, CUDA and OpenCL.
Updated
Oct 25, 2018
Cuda
An automated heterogenous log management script created in Python and automated using DevOps pipeline in ELK Stack.
Using Nvidia K20 to accelerate Gaussian Process Regression
A library for simplified distributed computing across any heterogeneous architectures (cpu + gpu), with tensor support, and polymorphic data layouts for optimal performance! Ripple enables you to scale quickly without sacrificing performance!
Graph-processing benchmarking framework that targets heterogeneous architectures.
To accompany the paper "An efficient new static scheduling heuristic for accelerated architectures".
Updated
Dec 27, 2020
Python
Heterogeneous Parallel Programming Class - CUDA C (Coursera)
Updated
Jan 26, 2017
Cuda
HERO OpenMP Heterogenous Execution Model Examples
HERO toolchain with support for RISC-V offloading over OpenMP Accelerator Execution Model
Updated
Sep 11, 2019
Shell
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The problem is that the OpenCL types in https://github.com/triSYCL/triSYCL/blob/master/include/triSYCL/opencl_types.hpp are defined on the host according to the x86-64 Linux ABI which depends on the CPU & OS instead of using the description from https://www.khronos.org/registry/OpenCL/specs/2.2/html/OpenCL_C.html#built-in-scalar-data-types
Note that the system-wide
cl_size_thas been removed