high performance computing on graphics processing units: hgpu.org

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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

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

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

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

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

Fast tridiagonal solvers on the GPU

Yao Zhang, Jonathan Cohen, John D. Owens

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

November 4, 2010 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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high performance computing on graphics processing units: hgpu.org

Acceleration of direct volume rendering with programmable graphics hardware

Finite Difference Time Domain (FDTD) Simulations Using Graphics Processors

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

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

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

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

Fast tridiagonal solvers on the GPU

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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