high performance computing on graphics processing units: hgpu.org

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Performance Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)

Hyesoon Kim, Richard Vuduc, Wen-mei Hwu, Sara Baghsorkhi

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Tags: Algorithms, Book, Computer science, CUDA, Fast multipole method, N-body simulation, nVidia, OpenCL, Optimization, Particle simulation, Performance, Review

January 17, 2013 by hgpu

Bioinformatics Sequence Comparisons on Manycore Processors

Tuan Tu Tran

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Tags: ATI, ATI Radeon HD 5870, Bioinformatics, Biology, nVidia, nVidia GeForce GTX 480, OpenCL, Review, Sequence matching, Thesis

December 25, 2012 by hgpu

GPUs: An Oasis in the Supercomputing Desert

Waseem Kamleh

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Tags: High Energy Physics - Lattice, nVidia, Physics, Review

December 20, 2012 by hgpu

Database Operation Development on the GPU

Scott Kuroda

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Tags: Computer science, Databases, Review

December 18, 2012 by hgpu

GPU Computing with Applications in Digital Logic

Jaako Astola, Michitaka Kameyama, Martin Lukac, Radomir S. Stankovic (eds.)

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Tags: Book, Games, Review, Signal processing

December 10, 2012 by hgpu

GPU Architecture and the Programming Environment

Stanislav Stankovic, Dusan Gajic, Radomir S. Stankovic

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Tags: Computer science, Hardware Architecture, Review

December 10, 2012 by hgpu

Parallelism in Database Operations

Kalle Karkkainen

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Tags: Computer science, CUDA, Databases, nVidia, Review

December 2, 2012 by hgpu

A survey of GPU-based medical image computing techniques

Lin Shi, Wen Liu, Heye Zhang, Yongming Xie, Defeng Wang

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Tags: Image processing, Image registration, Medicine, Review, Visualization

November 5, 2012 by hgpu

Parallel Genetic Programming on Graphics Processing Units

Douglas A. Augusto, Heder S. Bernardino, Helio J.C. Barbosa

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Tags: Algorithms, Computer science, Genetic programming, OpenCL, Optimization, Review

October 31, 2012 by hgpu

Computational Physics on Graphics Processing Units

Ari Harju, Topi Siro, Filippo Federici-Canova, Samuli Hakala, Teemu Rantalaiho

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Tags: Computational Physics, High Energy Physics - Lattice, Molecular dynamics, Physics, Review

October 31, 2012 by hgpu

Efficient 2D Software Rendering

Peter Mileff, Judit Dudra

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Tags: ATI, ATI Radeon HD 5670, Computer science, OpenGL, Rasterization, Real-time graphics, Rendering, Review

October 18, 2012 by hgpu

Simulating spiking neural networks on GPU

Romain Brett

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 580, Package, Python, Review

September 19, 2012 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

See all packages

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high performance computing on graphics processing units: hgpu.org

Performance Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)

Bioinformatics Sequence Comparisons on Manycore Processors

GPUs: An Oasis in the Supercomputing Desert

Database Operation Development on the GPU

GPU Computing with Applications in Digital Logic

GPU Architecture and the Programming Environment

Parallelism in Database Operations

A survey of GPU-based medical image computing techniques

Parallel Genetic Programming on Graphics Processing Units

Computational Physics on Graphics Processing Units

Efficient 2D Software Rendering

Simulating spiking neural networks on GPU

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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