high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Acceleration of direct volume rendering with programmable graphics hardware

Hacer Y. Keles, Alphan Es, Veysi Isler

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Tags: Image processing, nVidia, nVidia GeForce 7800 GTX, OpenGL, Raytracing, Rendering

November 5, 2010 by hgpu

Finite Difference Time Domain (FDTD) Simulations Using Graphics Processors

S. Adams, J. Payne, R. Boppana

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Tags: Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce 7800 GS, nVidia GeForce 8800 GTX, OpenGL

November 5, 2010 by hgpu

Exploiting frame-to-frame coherence for accelerating high-quality volume raycasting on graphics hardware

T. Klein, M. Strengert, S. Stegmaier, T. Ertl

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Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia GeForce 7800 GTX, OpenGL, Raytracing, Visualization

November 5, 2010 by hgpu

Performance Comparison of Graphics Processors to Reconfigurable Logic: A Case Study

Ben Cope, Peter Y. K. Cheung, Wayne Luk, Lee Howes

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Tags: FPGA, nVidia, nVidia GeForce 7900 GTX, OpenGL, Signal processing

November 5, 2010 by hgpu

GPUTeraSort: high performance graphics co-processor sorting for large database management

Naga Govindaraju, Jim Gray, Ritesh Kumar, Dinesh Manocha

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 6800, nVidia GeForce 6800 Ultra, nVidia GeForce 7800 GT, Sorting

November 5, 2010 by hgpu

2D/3D image registration on the GPU

A. Kubias, F. Deinzer, T. Feldmann, D. Paulus, B. Schreiber, Th Brunner

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Tags: Image processing, Image registration, nVidia, nVidia GeForce 7800 GS, OpenGL

November 4, 2010 by hgpu

Treecode and fast multipole method for N-body simulation with CUDA

Rio Yokota, Lorena Barba

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Tags: Computational Physics, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 295, Package, Physics

November 4, 2010 by hgpu

Hardware-Accelerated Volume Rendering for Real-Time Medical Data Visualization

Rui Shen, Pierre Boulanger

Tags: Computer science, Image processing, Medicine, Rendering, Visualization

November 4, 2010 by hgpu

Simple dynamic LOD for geometry images

Benjam'{i}n Hernandez, Isaac Rudomin

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Tags: Computer science, Image generation, nVidia, nVidia GeForce 6800 GT, OpenGL, Rendering

November 4, 2010 by hgpu

CUDASW++: optimizing Smith-Waterman sequence database searches for CUDA-enabled graphics processing units

Yongchao Liu, Douglas Maskell, Bertil Schmidt

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Tags: Bioinformatics, Biology, Computational biology, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Smith-Waterman algorithm

November 4, 2010 by hgpu

Boosted Algorithms for Visual Object Detection on Graphics Processing Units

Hicham Ghorayeb, Bruno Steux, Claude Laurgeau

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Tags: Artificial intelligence, Computer vision, Image processing, nVidia, nVidia GeForce 6600 GT, OpenGL

November 4, 2010 by hgpu

A Fast Implementation of the Octagon Abstract Domain on Graphics Hardware

Francesco Banterle, Roberto Giacobazzi

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Tags: Computer science, nVidia, nVidia GeForce 7950 GX2, Octagon Abstract Domain, OpenGL

November 4, 2010 by hgpu

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

CONCUR: Benchmarking LLMs for Concurrent Code Generation

HIPRT: Ray Tracing using HIP

Ray Tracing using HIP

MXFP4 Training Support Codebase

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

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

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high performance computing on graphics processing units: hgpu.org

Applications

Acceleration of direct volume rendering with programmable graphics hardware

Finite Difference Time Domain (FDTD) Simulations Using Graphics Processors

Exploiting frame-to-frame coherence for accelerating high-quality volume raycasting on graphics hardware

Performance Comparison of Graphics Processors to Reconfigurable Logic: A Case Study

GPUTeraSort: high performance graphics co-processor sorting for large database management

2D/3D image registration on the GPU

Treecode and fast multipole method for N-body simulation with CUDA

Hardware-Accelerated Volume Rendering for Real-Time Medical Data Visualization

Simple dynamic LOD for geometry images

CUDASW++: optimizing Smith-Waterman sequence database searches for CUDA-enabled graphics processing units

Boosted Algorithms for Visual Object Detection on Graphics Processing Units

A Fast Implementation of the Octagon Abstract Domain on Graphics Hardware

Recent source codes

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

HIPRT: Ray Tracing using HIP

MXFP4 Training Support Codebase

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

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

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