high performance computing on graphics processing units: hgpu.org

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Graphics Processing Units for Handhelds

Tomas Akenine-Moller, Jacobs Strom

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Tags: Computer science, Hardware Architecture, Review

August 9, 2011 by hgpu

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

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

Graphics Processing Units for Handhelds

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 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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