high performance computing on graphics processing units: hgpu.org

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Optimization of parallel Genetic Algorithms for nVidia GPUs

Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama

Tags: Algorithms, Computer science, Evolutionary Computations, Genetic programming, nVidia, Optimization, Review, Tesla C1060

August 9, 2011 by hgpu

Hardware accelerators for biocomputing: A survey

Souradip Sarkar, Turbo Majumder, Ananth Kalyanaraman, Partha Pratim Pande

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Tags: Biology, Cell processor, CUDA, FPGA, Molecular dynamics, nVidia, nVidia GeForce 7800 GTX, Performance, Review, Sequence alignment

August 7, 2011 by hgpu

Xbox360 Front Side Bus – A 21.6 GB/s End-to-End Interface Design

David Siljenberg, Steve Baumgartner, Tim Buchholtz, Mark Maxson, Trevor Timpane, Jeff Johnson

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Tags: Computer science, Hardware Architecture, Review, Xbox 360

August 5, 2011 by hgpu

Cost-effective low-power graphics processing unit for handheld devices

Byeong-Gyu Nam, Jeabin Lee, Kwanho Kim, Seungjin Lee, Hoi-Jun Yoo

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Tags: Computer science, Hardware Architecture, OpenGL, Review

August 2, 2011 by hgpu

Exploring graphics processor performance for general purpose applications

Pedro Trancoso, Maria Charalambous

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Tags: Brook, Computer science, nVidia, nVidia GeForce FX 5700, Performance, Review

July 23, 2011 by hgpu

Vendors Draw up a New Graphics-Hardware Approach

S.J. Vaughn-Nichols

Tags: Computer science, Hardware Architecture, Review

July 22, 2011 by hgpu

A Survey of Neural Computation on Graphics Processing Hardware

Ryan J. Meuth, Donald C. Wunsch II

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Tags: Computer science, Neural Computing, Review, Xbox 360

July 14, 2011 by hgpu

The computer graphics wars heat up

Michael Macedonia

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Tags: ATI, Computer science, nVidia, Review

July 11, 2011 by hgpu

Many-core parallel computing – Can compilers and tools do the heavy lifting?

W.-m.W. Hwu

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Tags: Compilers, Computer science, CUDA, Image processing, nVidia, Presentation, Review

July 10, 2011 by hgpu

Scientific and Engineering Computing Using ATI Stream Technology

Amr Bayoumi, Michael Chu, Yasser Hanafy, Patricia Harrell, Gamal Refai-Ahmed

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Tags: AMD FireStream 9270, ATI, ATI Stream, Brook, Computer science, OpenMP, Programming techniques, Review

June 26, 2011 by hgpu

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Byunghyun Jang, Dana Schaa, Perhaad Mistry, David Kaeli

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Tags: ATI, ATI Radeon HD 3870, Brook, Computer science, CUDA, Data parallelism, Memory model, nVidia, nVidia GeForce GTX 285, Review

June 17, 2011 by hgpu

Recent trends in software and hardware for GPGPU computing: A comprehensive survey

B. Neelima, P.S. Raghavendra

Tags: Computer science, Programming techniques, Review

May 31, 2011 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

Optimization of parallel Genetic Algorithms for nVidia GPUs

Hardware accelerators for biocomputing: A survey

Xbox360 Front Side Bus – A 21.6 GB/s End-to-End Interface Design

Cost-effective low-power graphics processing unit for handheld devices

Exploring graphics processor performance for general purpose applications

Vendors Draw up a New Graphics-Hardware Approach

A Survey of Neural Computation on Graphics Processing Hardware

The computer graphics wars heat up

Many-core parallel computing – Can compilers and tools do the heavy lifting?

Scientific and Engineering Computing Using ATI Stream Technology

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Recent trends in software and hardware for GPGPU computing: A comprehensive survey

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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