high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Interactive soft-fabrics watering simulation on GPU

Chen Huang, Hanqiu Sun, Shiguang Liu, Ping Li

Tags: Computer science, CUDA, nVidia, Physics-based simulation

April 25, 2011 by hgpu

Optimized HPL for AMD GPU and multi-core CPU usage

Matthias Bach, Matthias Kretz, Volker Lindenstruth, David Rohr

Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, Performance

April 25, 2011 by hgpu

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

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Interactive soft-fabrics watering simulation on GPU

Optimized HPL for AMD GPU and multi-core CPU usage

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

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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