openacc

Abstraction Library for Parallel Kernel Acceleration 🦙

Python extension language using accelerators

This repository consists for gpu bootcamp material for HPC and AI

LargeScale Multiphysics Scientific Simulation Environment-OneFLOW CFD

STREAM, for lots of devices written in many programming models

GPUFORT: S2S translation tool for CUDA Fortran and Fortran+X in the spirit of hipify

CLAW Compiler for Performance Portability

Code examples for CUDA and OpenACC

High Performance Computing Strategies for Boundary Value Problems

RTM

OpenACC for Python

Simple OpenACC Fortran Examples

The repository containing everything you need to compete in the IHPCSS 2019 programming challenge.

jacobi - a benchmark by solving 2D laplace equation with jacobi iterative method. GPU or Xeon Phi can be used.

OpenMP programming tips for GPU offloading

Matrix multiplication example performed with OpenMP, OpenACC, BLAS, cuBLABS, and CUDA

Case studies constitute a modern interdisciplinary and valuable teaching practice which plays a critical and fundamental role in the development of new skills and the formation of new knowledge. This research studies the behavior and performance of two interdisciplinary and widely adopted scientific kernels, a Fast Fourier Transform and Matrix Multiplication. Both routines are implemented in the two current most popular many-core programming models CUDA and OpenACC. A Fast Fourier Transform (FFT) samples a signal over a period of time and divides it into its frequency components, computing the Discrete Fourier Transform (DFT) of a sequence. Unlike the traditional approach to computing a DFT, FFT algorithms reduce the complexity of the problem from O(n2) to O(nLog2n). Matrix multiplication is a cornerstone routine in Mathematics, Artificial Intelligence and Machine Learning. This research also shows that the nature of the problem plays a crucial role in determining what many-core model will provide the highest benefit in performance.

Soil particles contact simulation

Materials for "Differences between OpenACC and OpenMP offloading models" tutorial.

QMoM methods for fluid dynamics in C++, C, and OpenACC.

Object-Oriented Implementation of the Conjugate Gradients Method

a test of GPU direct with CUDA/OpenACC.

Benchmark Matrix Multiply on GPU Environment.

Sparse Fast Fourier Transforms Library combined with OpenACC API for accelerated performance.

traveling salesman problem solved with different programing models

Mandelbrot set by MPI/OpenMP/OpenACC.

Code for lithospheric scale geodynamics

the base for a web-based parallel programming environment build over a microservice approach

LANL Parallel Computing Summer Research Institute 2017 GPU Exercise - C implementation of Gaussian Blurring of .ppm format image