high performance computing on graphics processing units: hgpu.org

Wael Elwasif, Sergei Bastrakov, Spencer H. Bryngelson, Michael Bussmann, Sunita Chandrasekaran, Florina Ciorba, M. A. Clark, Alexander Debus, William Godoy, Nick Hagerty, Jeff Hammond, David Hardy, J. Austin Harris, Oscar Hernandez, Balint Joo, Sebastian Keller, Paul Kent, Henry Le Berre, Damien Lebrun-Grandie, Elijah MacCarthy, Verónica G. Melesse Vergara, Bronson Messer, Ross Miller, Sarp Oral, Jean-Guillaume Piccinali, Anand Radhakrishnan, Osman Simsek, Filippo Spiga, Klaus Steiniger, Jan Stephan, John E. Stone, Christian Trott, René Widera, Jeffrey Young

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Tags: ARM, Benchmarking, cfd, Computer science, CUDA, Fluid dynamics, Fortran, HPC, MPI, nVidia, nVidia A100, OpenACC, Package

October 2, 2022 by hgpu

Performance study on GPU offloading techniques using the Gauss matrix inverse algorithm

Yannik Könneker

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 1080, OpenACC, OpenCL, Package, Performance, Tesla V100, Thesis

April 17, 2022 by hgpu

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high performance computing on graphics processing units: hgpu.org

An Evaluation of Directive-Based Parallelization on the GPU Using a Parboil Benchmark

Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation

Quantifying OpenMP: Statistical Insights into Usage and Adoption

A portable C++ library for memory and compute abstraction on multi-core CPUs and GPUs

Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation

ACC Saturator: Automatic Kernel Optimization for Directive-Based GPU Code

cuCatch: A Debugging Tool for Efficiently Catching Memory Safety Violations in CUDA Applications

Optimization and Portability of a Fusion OpenACC-based FORTRAN HPC Code from NVIDIA to AMD GPUs

A Symbolic Emulator for Shuffle Synthesis on the NVIDIA PTX Code

Multi-GPU thermal lattice Boltzmann simulations using OpenACC and MPI

Early Application Experiences on a Modern GPU-Accelerated Arm-based HPC Platform

Performance study on GPU offloading techniques using the Gauss matrix inverse algorithm

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