high performance computing on graphics processing units: hgpu.org

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Medium-Grained Functions Mapping using Modern GPUs

Jiri Filipovic, Jan Fousek

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, Performance

February 17, 2011 by hgpu

Simulations of Large Membrane Regions using GPU-enabled Computations – Preliminary Results

Narayan Ganesan, Michela Taufer, Sandeep Patel

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Tags: Chemistry, CUDA, Membrane computing, Molecular dynamics, nVidia, Performance

February 17, 2011 by hgpu

An experimental study on performance portability of OpenCL kernels

Sean Rul, Hans Vandierendonck, Joris D'Haene and Koen De Bosschere

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Tags: ATI, ATI FirePro V8700, Cell processor, Computer science, nVidia, OpenCL, Performance, Playstation, Tesla C1060

February 16, 2011 by hgpu

Increasing Memory Miss Tolerance for SIMD Cores

David Tarjan, Jiayuan Meng and Kevin Skadron

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Tags: Computer science, Hardware Architecture, Performance

February 12, 2011 by hgpu

Automated Dynamic Analysis of CUDA Programs

Michael Boyer, Kevin Skadron, Westley Weimer

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Tags: Computer science, CUDA, nVidia, Optimization, Performance

February 12, 2011 by hgpu

Comparing CUDA and OpenGL implementations for a Jacobi iteration

Ronan Amorim, Gundolf Haase, Manfred Liebmann, Rodrigo Weber dos Santos

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Tags: Computer science, CUDA, GLSL, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 8800 GT, nVidia GeForce GTX 280, OpenGL, Performance

February 11, 2011 by hgpu

Comparison of several parallel API for cloth modelling on modern GPUs

Tzvetomir Ivanov Vassilev

Tags: Computer science, CUDA, GLSL, nVidia, OpenCL, OpenGL, Performance

February 11, 2011 by hgpu

Scaling LAPACK panel operations using parallel cache assignment

Anthony M. Castaldo, R. Clint Whaley

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Tags: Algorithms, Computer science, Factorization, Linear Algebra, Mathematical Software, Performance

February 10, 2011 by hgpu

Data parallel acceleration of decision support queries using Cell/BE and GPUs

Pedro Trancoso, Despo Othonos, Artemakis Artemiou

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Tags: Algorithms, Cell processor, Computer science, DirectX, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8800 GTS, Performance, RapidMind

February 7, 2011 by hgpu

Model-driven autotuning of sparse matrix-vector multiply on GPUs

Jee W. Choi, Amik Singh, Richard W. Vuduc

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Performance, Sparse matrix, Tesla C1060, Tesla C870, Tesla T10P

February 5, 2011 by hgpu

Quantifying the Impact of GPUs on Performance and Energy Efficiency in HPC Clusters

J. Enos, C. Steffen, J. Fullop, M. Showerman, G. Shi, K. Esler, V. Kindratenko, J. Stone, J. Phillips

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Tags: Computer science, CUDA, Energy-efficient computing, GPU cluster, nVidia, Performance

February 3, 2011 by hgpu

A Performance Study for Iterative Stencil Loops on GPUs with Ghost Zone Optimizations

Jiayuan Meng, Kevin Skadron

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance

January 26, 2011 by hgpu

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

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high performance computing on graphics processing units: hgpu.org

Medium-Grained Functions Mapping using Modern GPUs

Simulations of Large Membrane Regions using GPU-enabled Computations – Preliminary Results

An experimental study on performance portability of OpenCL kernels

Increasing Memory Miss Tolerance for SIMD Cores

Automated Dynamic Analysis of CUDA Programs

Comparing CUDA and OpenGL implementations for a Jacobi iteration

Comparison of several parallel API for cloth modelling on modern GPUs

Scaling LAPACK panel operations using parallel cache assignment

Data parallel acceleration of decision support queries using Cell/BE and GPUs

Model-driven autotuning of sparse matrix-vector multiply on GPUs

Quantifying the Impact of GPUs on Performance and Energy Efficiency in HPC Clusters

A Performance Study for Iterative Stencil Loops on GPUs with Ghost Zone Optimizations

Recent source codes

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

TRUST: a thermalhydraulic software package for CFD simulations

Modular: The Modular Platform (includes MAX & Mojo)

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

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