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Analyzing CUDA workloads using a detailed GPU simulator

Ali Bakhoda, George L. Yuan, Wilson W. L. Fung, Henry Wong, Tor M. Aamodt

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600 GTS, PTX

October 28, 2010 by hgpu

CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment

Svetlin Manavski, Giorgio Valle

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Tags: Bioinformatics, Biology, Computational biology, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Sequence alignment, Smith-Waterman algorithm

October 28, 2010 by hgpu

Matched Filter Computation on FPGA, Cell and GPU

Z. K. Baker, M. B. Gokhale, J. L. Tripp

Tags: Computer science, FPGA, nVidia, nVidia GeForce 7900 GTX

October 28, 2010 by hgpu

Automatic Dynamic Task Distribution between CPU and GPU for Real-Time Systems

M. Joselli, M. Zamith, E. Clua, A. Montenegro, A. Conci, R. Leal-Toledo, L. Valente, B. Feijo, M. D'Ornellas, C. Pozzer

Tags: Computer science

October 28, 2010 by hgpu

An improved scheme of an interactive finite element model for 3D soft-tissue cutting and deformation

Wen Wu, Pheng A. Heng

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Tags: Computer science, Finite element method, Medicine, nVidia, nVidia GeForce FX 5950 Ultra, Surgical simulation

October 28, 2010 by hgpu

GpuCV: A GPU-Accelerated Framework for Image Processing and Computer Vision

Yannick Allusse, Patrick Horain, Ankit Agarwal, Cindula Saipriyadarshan

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Tags: Computer science, Computer vision, CUDA, GLSL, Image processing, nVidia, nVidia GeForce GTX 280, OpenGL, Package

October 28, 2010 by hgpu

A hybrid condensed finite element model with GPU acceleration for interactive 3D soft tissue cutting

Wen Wu, Pheng A. Heng

Tags: Computer science, Finite element method, Medicine, Surgical simulation

October 28, 2010 by hgpu

A Generic and Scalable Pipeline for GPU Tetrahedral Grid Rendering

J. Georgii, R. Westermann

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 7900 GTX, Rendering

October 28, 2010 by hgpu

Radial Basis Function Networks GPU-Based Implementation

A. Brandstetter, A. Artusi

Tags: Computer science, Neural networks

October 28, 2010 by hgpu

Adapting a message-driven parallel application to GPU-accelerated clusters

James C. Phillips, John E. Stone, Klaus Schulten

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Tags: Computer science, CUDA, GPU cluster, Molecular dynamics, nVidia, nVidia Quadro FX 5600

October 28, 2010 by hgpu

GIST: an interactive, GPU-based level set segmentation tool for 3D medical images

Joshua E. Cates, Aaron E. Lefohn, Ross T. Whitaker

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Tags: ATI, ATI Radeon 9700 Pro, Computer science, Image processing, Medicine

October 28, 2010 by hgpu

Advanced illumination techniques for GPU volume raycasting

Markus Hadwiger, Patric Ljung, Christof R. Salama, Timo Ropinski

Tags: 3D Graphics and Realism, Computer science, Numerical simulation, Raytracing, Rendering

October 28, 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

Applications

Analyzing CUDA workloads using a detailed GPU simulator

CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment

Matched Filter Computation on FPGA, Cell and GPU

Automatic Dynamic Task Distribution between CPU and GPU for Real-Time Systems

An improved scheme of an interactive finite element model for 3D soft-tissue cutting and deformation

GpuCV: A GPU-Accelerated Framework for Image Processing and Computer Vision

A hybrid condensed finite element model with GPU acceleration for interactive 3D soft tissue cutting

A Generic and Scalable Pipeline for GPU Tetrahedral Grid Rendering

Radial Basis Function Networks GPU-Based Implementation

Adapting a message-driven parallel application to GPU-accelerated clusters

GIST: an interactive, GPU-based level set segmentation tool for 3D medical images

Advanced illumination techniques for GPU volume raycasting

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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