high performance computing on graphics processing units: hgpu.org

Hervé Yviquel, Marcio Pereira, Emílio Francesquini, Guilherme Valarini, Gustavo Leite, Pedro Rosso, Rodrigo Ceccato, Carla Cusihualpa, Vitoria Dias, Sandro Rigo, Alan Sousa, Guido Araujo

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Tags: Computer science, MPI, OpenMP, Package

July 17, 2022 by hgpu

CuPBoP: CUDA for Parallelized and Broad-range Processors

Ruobing Han, Jun Chen, Bhanu Garg, Jeffrey Young, Jaewoong Sim, Hyesoon Kim

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Tags: Benchmarking, Compilers, Computer science, CUDA, Heterogeneous systems, HIP, MPI, nVidia, nVidia GeForce GTX 1660 Ti, OpenMP

June 19, 2022 by hgpu

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

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high performance computing on graphics processing units: hgpu.org

SkyFlow: Heterogeneous streaming for skyline computation using FlowGraph and SYCL

A Hybrid Multi-GPU Implementation of Simplex Algorithm with CPU Collaboration

TorchOpt: An Efficient Library for Differentiable Optimization

Using scheduling entropy amplification in CUDA/OpenMP code to exhibit non-reproducibility issues

A systematic performance study of the parallel programming framework SkePU 3 using HPC-benchmarks

OpenMP Offloading in the Jetson Nano Platform

MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems

Exploiting dynamic sparse matrices for performance portable linear algebra operations

Direct GPU Compilation and Execution for Host Applications with OpenMP Parallelism

Just-in-Time Compilation and Link-Time Optimization for OpenMP Target Offloading

The OpenMP Cluster Programming Model

CuPBoP: CUDA for Parallelized and Broad-range Processors

Recent source codes

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

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