high performance computing on graphics processing units: hgpu.org

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Programming massively parallel processors : A Hands – on approach

David B Kirk and Wen-Mei W. Hwu

Tags: Algorithms, Book, Computer science, CUDA, nVidia, OpenCL, Review

December 17, 2010 by hgpu

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

Dominik Goddeke

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Tags: CUDA, Finite element method, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 6800, nVidia GeForce 7600 GT, nVidia GeForce 7900 GT, nVidia GeForce 8600 GT, nVidia GeForce 8800 GTX, nVidia GeForce 9600 GT, nVidia GeForce GTX 280, OpenGL, Review, Thesis

December 16, 2010 by hgpu

OpenMP in Multicore Architectures (tech. report)

Venkatesan Packirisamy, Harish Barathvajasankar

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Tags: Computer science, OpenMP, Programming techniques, Review

December 14, 2010 by hgpu

OpenMP on Multicore Architectures

Christian Terboven, Dieter An Mey, Samuel Sarholz

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Tags: Computer science, OpenMP, Programming techniques, Review

December 14, 2010 by hgpu

Future graphics architectures

William Mark

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Tags: Computer science, Hardware, Review

December 11, 2010 by hgpu

The impact of accelerator processors for high-throughput molecular modeling and simulation

G. Giupponi, M. Harvey, G. Defabritiis

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Tags: Bioinformatics, Cell processor, Chemistry, Medicine, Molecular modeling, nVidia, Review

December 11, 2010 by hgpu

Overview of implementation of DARPA GPU program in SAIC

Dennis Braunreiter, Jeremy Furtek, Hai W. Chen, Dennis Healy

Tags: ATI, nVidia, Optics, Physics, Review

December 8, 2010 by hgpu

A survey of medical image registration on graphics hardware

O. Fluck, C. Vetter, W. Wein, A. Kamen, B. Preim, R. Westermann

Tags: Image processing, Image registration, Medicine, Review

December 8, 2010 by hgpu

GPU architecture overview

John Owens

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Tags: Computer science, Hardware, Presentation, Review

December 5, 2010 by hgpu

GPU physics

Mark Harris

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Tags: Computer science, CUDA, nVidia, OpenGL, Presentation, Review

December 5, 2010 by hgpu

GPUQP: query co-processing using graphics processors

Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander

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Source codes

Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Package, Review

December 4, 2010 by hgpu

GPU Computing: Programming a Massively Parallel Processor

Ian Buck

Tags: Computer science, CUDA, High-level Languages, nVidia, Review

December 4, 2010 by hgpu

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

Programming massively parallel processors : A Hands – on approach

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

OpenMP in Multicore Architectures (tech. report)

OpenMP on Multicore Architectures

Future graphics architectures

The impact of accelerator processors for high-throughput molecular modeling and simulation

Overview of implementation of DARPA GPU program in SAIC

A survey of medical image registration on graphics hardware

GPU architecture overview

GPU physics

GPUQP: query co-processing using graphics processors

GPU Computing: Programming a Massively Parallel Processor

Recent source codes

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

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