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HPC acceleration of large (min, +) matrix products to compute domination-type parameters in graphs

E.M. Garzón, J.A. Martínez, J.J. Moreno, M.L. Puertas

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Tags: Algorithms, Computer science, CUDA, Graph theory, HPC, nVidia, OpenMP, Package, Tesla V100

September 29, 2024 by hgpu

Automatic Generation of OpenCL Code through Polyhedral Compilation with LLM

Marek Palkowski, Mateusz Gruzewski

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Tags: AMD Radeon RX 6800, ATI, Code generation, Computer science, CUDA, LLM, nVidia, nVidia A100, OpenCL, OpenMP

September 29, 2024 by hgpu

A Study of Performance Programming of CPU, GPU accelerated Computers and SIMD Architecture

Xinyao Yi

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Tags: Computer science, CUDA, Heterogeneous systems, HPC, nVidia, nVidia A100, OpenMP, Performance, Programming techniques

September 22, 2024 by hgpu

Enhancing Code Portability, Problem Scale, and Storage Efficiency in Exascale Applicationsin Exascale Applications

Nigel Tan

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Tags: AMD Radeon Vega VII, ATI, Computer science, CUDA, Heterogeneous systems, HPC, nVidia, nVidia A100, nVidia DGX-A100, nVidia Quadro RTX 5000, OpenMP, OpenMPI, Particle-in-cell methods, performance portability, Tesla V100, Thesis

September 15, 2024 by hgpu

Optimizing the Weather Research and Forecasting Model with OpenMP Offload and Codee

Chayanon (Namo)Wichitrnithed, Woo-Sun-Yang, Yun (Helen)He, Brad Richardson, Koichi Sakaguchi, Manuel Arenaz, William I. Gustafson Jr., Jacob Shpund, Ulises Costi Blanco, Alvaro Goldar Dieste

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Tags: Computer science, CUDA, Fortran, MPI, nVidia, nVidia A100, OpenMP, Optimization, Package, Weather prediction

September 15, 2024 by hgpu

Exploring Scalability in C++ Parallel STL Implementations

Ruben Laso, Diego Krupitza, Sascha Hunold

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Ampere A2, OpenMP, Package, Performance, Tesla T4

September 1, 2024 by hgpu

CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations

Aaron Jarmusch, Felipe Cabarcas, Swaroop Pophale, Andrew Kallai, Johannes Doerfert, Luke Peyralans, Seyong Lee, Joel Denny, Sunita Chandrasekaran

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Tags: AMD Radeon Instinct MI210, AMD Radeon Instinct MI250X, ATI, Compilers, Computer science, Fortran, Heterogeneous systems, HPC, nVidia, nVidia H100, OpenMP

August 25, 2024 by hgpu

Characterizing CUDA and OpenMP Synchronization Primitives

Brandon Alexander Burtchell, Martin Burtscher

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Tags: Computer science, CUDA, nVidia, nVidia A100, nVidia GeForce RTX 2070, nVidia GeForce RTX 4090, OpenMP, Package, Performance

August 25, 2024 by hgpu

The VerCors Verifier: A Progress Report

Lukas Armborst, Pieter Bos, Lars B. van den Haak, Marieke Huisman, Robert Rubbens, Ömer Şakar, Philip Tasche

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Tags: Computer science, CUDA, OpenCL, OpenMP, Package, Performance, SYCL

August 18, 2024 by hgpu

Portability of Fortran’s ‘do concurrent’ on GPUs

Ronald M. Caplan, Miko M. Stulajter, Jon A. Linker, Jeff Larkin, Henry A. Gabb, Shiquan Su, Ivan Rodriguez, Zachary Tschirhart, Nicholas Malaya

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Tags: Computer science, Fortran, Intel, Intel Data Center GPU Max 1550, Intel Ponte Vecchio Max 1100, nVidia, nVidia A100, nVidia GH200, nVidia H100, OpenACC, OpenMP, Package

August 18, 2024 by hgpu

Automatic Code Rewriting for Performance Portability

Alister Johnson

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Tags: Compilers, Computer science, HIP, OpenCL, OpenMP, performance portability, SYCL, Thesis

July 7, 2024 by hgpu

GPU Parallelization of Astronomical Image Subtraction

Gustav Arneving, Hugo Wilhelmsson

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Tags: Astrophysics, nVidia, nVidia GeForce GTX 1050, OpenCL, OpenMP, Physics, Thesis

June 23, 2024 by hgpu

pSTL-Bench: Micro-benchmark suite designed to evaluate the scalability and efficiency of parallel C++ STL implementations

Exploring Scalability in C++ Parallel STL Implementations

GPU-Smash: Compression abstraction library

A Parallel Compression Pipeline for Improving GPU Virtualization Data Transfers

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high performance computing on graphics processing units: hgpu.org

HPC acceleration of large (min, +) matrix products to compute domination-type parameters in graphs

Automatic Generation of OpenCL Code through Polyhedral Compilation with LLM

A Study of Performance Programming of CPU, GPU accelerated Computers and SIMD Architecture

Enhancing Code Portability, Problem Scale, and Storage Efficiency in Exascale Applicationsin Exascale Applications

Optimizing the Weather Research and Forecasting Model with OpenMP Offload and Codee

Exploring Scalability in C++ Parallel STL Implementations

CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations

Characterizing CUDA and OpenMP Synchronization Primitives

The VerCors Verifier: A Progress Report

Portability of Fortran’s ‘do concurrent’ on GPUs

Automatic Code Rewriting for Performance Portability

GPU Parallelization of Astronomical Image Subtraction

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