high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Fast exhaustive search for polynomial systems in F2

Charles Bouillaguet, Hsieh C. Chen, Chen M. Cheng, Tung Chou, Ruben Niederhagen, Adi Shamir, Bo Y. Yang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Security

March 9, 2011 by hgpu

Ocelot: a dynamic optimization framework for bulk-synchronous applications in heterogeneous systems

Gregory F. Diamos, Andrew R. Kerr, Sudhakar Yalamanchili, Nathan Clark

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Source codes

Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Package, Programming Languages, PTX

March 9, 2011 by hgpu

Comparison of FPGA and GPU implementations of real-time stereo vision

R. Kalarot, J. Morris

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Tags: Computer science, Computer vision, CUDA, FPGA, nVidia, nVidia GeForce GTX 280

March 9, 2011 by hgpu

Visualization of level-of-detail meshes on the GPU

Oscar Ripolles, Miguel Chover, Francisco Ramos

Tags: Computer science, Real-time graphics, Rendering, Visualization

March 9, 2011 by hgpu

GPU Computing Gems: Emerald Edition

edited by: W. W. Hwu

Tags: Algorithms, Book, Computer science, CUDA, nVidia, Programming techniques

March 9, 2011 by hgpu

GPGPU flow

Jens Kruger

Tags: Computer science, Review, Visualization

March 9, 2011 by hgpu

Using common graphics hardware for multi-agent traffic simulation with CUDA

David Strippgen, Kai Nagel

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, nVidia GeForce GTX 280, Software Engineering

March 8, 2011 by hgpu

Fast heterogeneous computing with CUDA compatible Tesla GPU computing processor (personal supercomputing)

D. Kumar, M. A. Qadeer

Tags: Computer science, CUDA, Heterogeneous systems, Molecular dynamics, nVidia, Tesla

March 8, 2011 by hgpu

Performance and Scalability of GPU-Based Convolutional Neural Networks

Daniel Strigl, Klaus Kofler, Stefan Podlipnig

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Tags: Computer science, CUDA, Neural networks, nVidia

March 8, 2011 by hgpu

Offloading Region Matching of Data Distribution Management with CUDA

Shih Hsiang Lo, Yeh Ching Chung, Fang Ping Pai

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Tags: Computer science, CUDA, Distributed data structures, nVidia, nVidia GeForce 9600 GT

March 8, 2011 by hgpu

IP routing processing with graphic processors

Shuai Mu, Xinya Zhang, Nairen Zhang, Jiaxin Lu, Yangdong Steve Deng, Shu Zhang

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Tags: Bloom filter, Computer science, CUDA, Network communications, Networks, nVidia, nVidia GeForce GTX 280, Software router

March 7, 2011 by hgpu

Application-guided tool development for architecturally diverse computation

Roger D. Chamberlain, Jeremy Buhler, Mark A. Franklin, James H. Buckley

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Tags: Algorithms, Astrophysics, Biology, Computer science, CUDA, Finance, FPGA, Heterogeneous systems, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Search, Security

March 7, 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

Fast exhaustive search for polynomial systems in F2

Ocelot: a dynamic optimization framework for bulk-synchronous applications in heterogeneous systems

Comparison of FPGA and GPU implementations of real-time stereo vision

Visualization of level-of-detail meshes on the GPU

GPU Computing Gems: Emerald Edition

GPGPU flow

Using common graphics hardware for multi-agent traffic simulation with CUDA

Fast heterogeneous computing with CUDA compatible Tesla GPU computing processor (personal supercomputing)

Performance and Scalability of GPU-Based Convolutional Neural Networks

Offloading Region Matching of Data Distribution Management with CUDA

IP routing processing with graphic processors

Application-guided tool development for architecturally diverse computation

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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