high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Efficient implementation for MD5-RC4 encryption using GPU with CUDA

Changxin Li, Hongwei Wu, Shifeng Chen, Xiaochao Li, Donghui Guo

Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX, Security

March 25, 2011 by hgpu

Fast forwarding table lookup exploiting GPU memory architecture

Youngjun Lee, Minseon Jeong, Sanghwan Lee, Eun-Jin Im

Tags: Computer science, Information Retrieval, Network communications, Software router

March 25, 2011 by hgpu

HiAL-Ckpt: A hierarchical application-level checkpointing for CPU-GPU hybrid systems

Xinhai Xu, Yufei Lin, Tao Tang, Yisong Lin

Tags: Computer science, Fault simulation, Heterogeneous systems, MPI

March 25, 2011 by hgpu

Fast Virus Signature Matching Based on the High Performance Computing of GPU

Yang Wan Cheng

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Tags: Algorithms, Computer science, Security

March 25, 2011 by hgpu

A Data Communication Scheduler for Stream Programs on CPU-GPU Platform

Tao Tang, Xinhai Xu, Yisong Lin

Tags: ATI, Computer science, Heterogeneous systems, Task scheduling

March 25, 2011 by hgpu

Optimizing GPU Volume Rendering

Daniel Ruijters, Anna Vilanova

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Tags: ATI, ATI FireGL X1, Computer science, nVidia, nVidia Quadro FX 3400, OpenGL, Rendering, Visualization

March 24, 2011 by hgpu

A realtime GPU subdivision kernel

Le-Jeng Shiue, Ian Jones, Jorg Peters

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Tags: 3D Graphics and Realism, ATI, ATI Radeon 9700, Computer science, OpenGL, Rendering

March 24, 2011 by hgpu

General-purpose GPU computing: practice and experience

Bartlett S. H. (Scott) Michel

Tags: Computer science, Programming techniques, Review

March 24, 2011 by hgpu

Fast in-place sorting with CUDA based on bitonic sort

Hagen Peters, Ole Schulz-Hildebrandt, and Norbert Luttenberger

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Sorting

March 24, 2011 by hgpu

Modeling GPU-CPU Workloads and Systems

Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce 8600 GS, nVidia GeForce GTX 280, Performance, Task scheduling, Tesla C1060

March 23, 2011 by hgpu

Gvim: Gpu-accelerated virtual machines

Vishakha Gupta, Ada Gavrilovska, K. Schwan, Harshvardhan Kharche, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTX, Virtualization

March 23, 2011 by hgpu

GPU-Assisted Computation of Centroidal Voronoi Tessellation

Guodong Rong, Yang Liu, Wenping Wang, Xiaotian Yin, David Gu, Xiaohu Guo

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Tags: Cg, Computer science, nVidia, nVidia GeForce GTX 280, Visualization, Voronoi diagram

March 23, 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

Efficient implementation for MD5-RC4 encryption using GPU with CUDA

Fast forwarding table lookup exploiting GPU memory architecture

HiAL-Ckpt: A hierarchical application-level checkpointing for CPU-GPU hybrid systems

Fast Virus Signature Matching Based on the High Performance Computing of GPU

A Data Communication Scheduler for Stream Programs on CPU-GPU Platform

Optimizing GPU Volume Rendering

A realtime GPU subdivision kernel

General-purpose GPU computing: practice and experience

Fast in-place sorting with CUDA based on bitonic sort

Modeling GPU-CPU Workloads and Systems

Gvim: Gpu-accelerated virtual machines

GPU-Assisted Computation of Centroidal Voronoi Tessellation

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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