high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Tracking and Clustering Salient Features in Image Sequences

Werner Bailer, Hannes Fassold, Felix Lee, Jakub Rosner

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Rendering, Video tracking

April 25, 2011 by hgpu

GPU-S2S: A Compiler for Source-to-Source Translation on GPU

Dan Li, Haijun Cao, Xiaoshe Dong, Bao Zhang

Tags: Code generation, Compilers, Computer science, CUDA, High-level Languages, nVidia

April 23, 2011 by hgpu

Multimodal collaboration and human-computer interaction

Zhengyou Zhang

Tags: Computer science, Rendering, Visualization

April 23, 2011 by hgpu

OpenMPC: Extended OpenMP Programming and Tuning for GPUs

Seyong Lee, Rudolf Eigenmann

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia Quadro FX 5600, OpenMP

April 23, 2011 by hgpu

Using parallel GPU architecture for simulation of planar I/F networks

Jan-Phillip Tiesel, Anthony S. Maida

Tags: Computer science, Neural networks, Shaders

April 23, 2011 by hgpu

Scalable software defined receivers running on desktop computers using General Purpose Graphics Processing Units

P. Szegvari, C. Hentschel

Tags: Computational Engineering, Computer science

April 22, 2011 by hgpu

High-Speed Private Information Retrieval Computation on GPU

Carlos Aguilar Melchor, Benoit Crespin, Philippe Gaborit, Vincent Jolivet, Pierre Rousseau

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Tags: Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, nVidia GeForce 8800 Ultra, Package

April 22, 2011 by hgpu

MITHRA: Multiple data independent tasks on a heterogeneous resource architecture

Reza Farivar, Abhishek Verma, Ellick M. Chan, Roy H. Campbell

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MapReduce, nVidia, nVidia GeForce 9800 GX2, nVidia Quadro FX 570

April 22, 2011 by hgpu

Scalable Clustering Using Graphics Processors

Feng Cao, Anthony Tung, Aoying Zhou

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Tags: Algorithms, Cg, Clustering, Computer science, nVidia, nVidia GeForce 6800 GT, OpenGL

April 22, 2011 by hgpu

Pretty Good Accuracy in Matrix Multiplication with GPUs

Matthew Badin, Lubomir Bic, Michael Dillencourt, Alexandru Nicolau

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 285

April 21, 2011 by hgpu

Using graphics processors to accelerate the computation of the matrix inverse

P. Ezzatti, E. Quintana-Orti, A. Remon

Source codes

Tags: Computer science, Linear Algebra, Matrix inversion

April 21, 2011 by hgpu

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation

Dominik Grewe, Anton Lokhmotov

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Tags: ATI, ATI Radeon HD 5970, Code generation, Computer science, CUDA, High-level Languages, Linear Algebra, nVidia, OpenCL, Sparse matrix, Tesla S1070

April 21, 2011 by hgpu

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Tracking and Clustering Salient Features in Image Sequences

GPU-S2S: A Compiler for Source-to-Source Translation on GPU

Multimodal collaboration and human-computer interaction

OpenMPC: Extended OpenMP Programming and Tuning for GPUs

Using parallel GPU architecture for simulation of planar I/F networks

Scalable software defined receivers running on desktop computers using General Purpose Graphics Processing Units

High-Speed Private Information Retrieval Computation on GPU

MITHRA: Multiple data independent tasks on a heterogeneous resource architecture

Scalable Clustering Using Graphics Processors

Pretty Good Accuracy in Matrix Multiplication with GPUs

Using graphics processors to accelerate the computation of the matrix inverse

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation

Recent source codes

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

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

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