high performance computing on graphics processing units: hgpu.org

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Multi-level parallelism, global arrays, GPGPU Programming: Unify programming paradigms on Grid computing with efficiency

S. Sirisup, S. U-raekolan, E. Kijsipongse

Tags: Computer science, Grid, Heterogeneous systems

August 26, 2011 by hgpu

TH-1: China’s first petaflop supercomputer

Xuejun Yang, Xiangke Liao, Weixia Xu, Junqiang Song, Qingfeng Hu, Jinshu Su, Liquan Xiao, Kai Lu, Qiang Dou, Juping Jiang, Canqun Yang

Tags: ATI, ATI Radeon HD 4870, Computer science, GPU cluster, Hardware Architecture, Heterogeneous systems

August 25, 2011 by hgpu

Hera-JVM: a runtime system for heterogeneous multi-core architectures

Ross McIlroy, Joe Sventek

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Tags: Cell processor, Computer science, Heterogeneous systems, Performance, Programming Languages

August 25, 2011 by hgpu

Parallelizing compiler framework and API for power reduction and software productivity of real-time heterogeneous multicores

Akihiro Hayashi, Yasutaka Wada, Takeshi Watanabe, Takeshi Sekiguchi, Masayoshi Mase, Jun Shirako, Keiji Kimura, Hironori Kasahara

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Tags: Compilers, Computer science, Heterogeneous systems, Performance

August 25, 2011 by hgpu

MobiRT: an implementation of OpenGL ES-based CPU-GPU hybrid ray tracer for mobile devices

Jae-Ho Nah, Yoon-Sig Kang, Kwang-Jo Lee, Shin-Jun Lee, Tack-Don Han, Sung-Bong Yang

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 9800 GT, OpenGL, Raytracing

August 25, 2011 by hgpu

Considering GPGPU for HPC Centers: Is It Worth the Effort?

Hans Hacker, Carsten Trinitis, Josef Weidendorfer, Matthias Brehm

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Tags: Computer science, CUDA, nVidia, Performance, Review, Tesla C1060

August 25, 2011 by hgpu

Towards a GPU-Based Simulation Framework for Deformable Surface Meshes

V. Kotamraju, S. Payandeh, J. Dill

Tags: 3D Graphics and Realism, Computer science, Dynamic surface, nVidia, nVidia GeForce 6600 GT, Sparse matrix

August 25, 2011 by hgpu

A PC-based fully-programmable medical ultrasound imaging system using a graphics processing unit

Seokhyun Kim, Hak-yeol Sohn, Jin Ho Chang, Tai-kyoung Song, Yangmo Yoo

Tags: Algorithms, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, Ultrasound

August 25, 2011 by hgpu

Fine-grain Parallelism using Multi-core, Cell/BE, and GPU Systems

Frederico Pratas, Pedro Trancoso, Leonel Sousa, Alexandros Stamatakis, Guochun Shi, Volodymyr Kindratenko

Tags: Bioinformatics, Biology, Cell processor, CUDA, Molecular dynamics, nVidia

August 25, 2011 by hgpu

An efficient GPU-based time domain solver for the acoustic wave equation

Ravish Mehra, Nikunj Raghuvanshi, Lauri Savioja, Ming C. Lin, Dinesh Manocha

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Tags: Acoustics, Algorithms, CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9600 M GT, nVidia GeForce GTX 480, nVidia Quadro FX 5800, Physics, Visualization, Wave equation

August 25, 2011 by hgpu

GPU-acceleration for Moving Particle Semi-implicit Method

Chiemi Hori, Hitoshi Gotoh, Hiroyuki Ikari, Abbas Khayyer

Tags: CUDA, Fluid dynamics, nVidia, Poisson equation

August 25, 2011 by hgpu

Parallel computation of spherical parameterizations for mesh analysis

Theodoros Athanasiadis, Ioannis Fudos

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Source codes

Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Package

August 24, 2011 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Multi-level parallelism, global arrays, GPGPU Programming: Unify programming paradigms on Grid computing with efficiency

TH-1: China’s first petaflop supercomputer

Hera-JVM: a runtime system for heterogeneous multi-core architectures

Parallelizing compiler framework and API for power reduction and software productivity of real-time heterogeneous multicores

MobiRT: an implementation of OpenGL ES-based CPU-GPU hybrid ray tracer for mobile devices

Considering GPGPU for HPC Centers: Is It Worth the Effort?

Towards a GPU-Based Simulation Framework for Deformable Surface Meshes

A PC-based fully-programmable medical ultrasound imaging system using a graphics processing unit

Fine-grain Parallelism using Multi-core, Cell/BE, and GPU Systems

An efficient GPU-based time domain solver for the acoustic wave equation

GPU-acceleration for Moving Particle Semi-implicit Method

Parallel computation of spherical parameterizations for mesh analysis

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

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