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CUDA-Lite: Reducing GPU programming complexity

Sain-zee Ueng, Melvin Lathara, Sara S. Baghsorkhi, Wen-mei W. Hwu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Programming techniques

November 1, 2010 by hgpu

Program optimization space pruning for a multithreaded gpu

Shane Ryoo, Christopher I. Rodrigues, Sam S. Stone, Sara S. Baghsorkhi, Sain Z. Ueng, John A. Stratton, Wen mei

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Performance, Programming techniques

November 1, 2010 by hgpu

Interactive, GPU-Based Level Sets for 3D Segmentation

Aaron Lefohn, Joshua Cates, Ross Whitaker

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Tags: ATI, ATI Radeon 9700 Pro, Image processing, Medicine, OpenGL

November 1, 2010 by hgpu

High-throughput sequence alignment using Graphics Processing Units

Michael Schatz, Cole Trapnell, Arthur Delcher, Amitabh Varshney

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Tags: Bioinformatics, Biology, Computational biology, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Sequence alignment

November 1, 2010 by hgpu

Bio-sequence database scanning on a GPU

Weiguo Liu, B. Schmidt, G. Voss, A. Schroder, W. Muller-Wittig

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Tags: Biology, Computational biology, GLSL, nVidia, nVidia GeForce 6800 GTO, nVidia GeForce 7800 GTX, OpenGL, Smith-Waterman algorithm

October 30, 2010 by hgpu

Graphics Processing Units and High-Dimensional Optimization

Hua Zhou, Kenneth Lange, Marc A. Suchard

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Tags: Block relaxation, CUBLAS, CUDA, EM and MM algorithms, Mathematics, Multidimensional scaling, Nonnegative matrix factorization, nVidia, nVidia GeForce GTX 280, PET scanning, Statistics

October 30, 2010 by hgpu

How GPUs Work

David Luebke, Greg Humphreys

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Tags: Computer science, Review

October 30, 2010 by hgpu

GPUs: A Closer Look

Kayvon Fatahalian, Mike Houston

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Tags: Computer science, Review

October 30, 2010 by hgpu

Quantum Chemistry on Graphical Processing Units. 1. Strategies for Two-Electron Integral Evaluation

Ivan S. Ufimtsev, Todd J. Martinez

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Tags: Chemistry, Computational chemistry, CUDA, Molecular modeling, nVidia, nVidia GeForce 8800 GTX

October 30, 2010 by hgpu

Mapping computational concepts to GPUs

Mark Harris

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Tags: Computer science, Review

October 30, 2010 by hgpu

A Memory Model for Scientific Algorithms on Graphics Processors

Naga K. Govindaraju, Scott Larsen, Jim Gray, Dinesh Manocha

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Tags: Algorithms, Computer science, FFT, Memory model, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce 7800 GTX, nVidia GeForce 7900 GTX, Sorting

October 30, 2010 by hgpu

Accelerating Density Functional Calculations with Graphics Processing Unit

Koji Yasuda

Tags: Chemistry, Computational chemistry, Molecular modeling

October 30, 2010 by hgpu

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

Engineering Supercomputing Platforms for Biomolecular Applications

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

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

Can Large Language Models Predict Parallel Code Performance?

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high performance computing on graphics processing units: hgpu.org

Applications

CUDA-Lite: Reducing GPU programming complexity

Program optimization space pruning for a multithreaded gpu

Interactive, GPU-Based Level Sets for 3D Segmentation

High-throughput sequence alignment using Graphics Processing Units

Bio-sequence database scanning on a GPU

Graphics Processing Units and High-Dimensional Optimization

How GPUs Work

GPUs: A Closer Look

Quantum Chemistry on Graphical Processing Units. 1. Strategies for Two-Electron Integral Evaluation

Mapping computational concepts to GPUs

A Memory Model for Scientific Algorithms on Graphics Processors

Accelerating Density Functional Calculations with Graphics Processing Unit

Recent source codes

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

XaaS containers

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

SYCL Container

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

Can Large Language Models Predict Parallel Code Performance?

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