high performance computing on graphics processing units: hgpu.org

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Mr. Scan: Extreme Scale Density-Based Clustering using a Tree-Based Network of GPGPU Nodes

Benjamin Welton, Evan Samanas, Barton P. Miller

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Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, nVidia, Tesla K20

April 30, 2013 by hgpu

RealTime GPU-Based Motion Planning for Task Executions

Chonhyon Park, Jia Pan, Dinesh Manocha

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680

April 29, 2013 by hgpu

Multigrid Optimization Methods for High Performance Computing

Christian Wagner

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Optimization, Thesis

April 29, 2013 by hgpu

Analysis of Multicore CPU and GPU Toward Parallelization of Total Focusing Method Ultrasound Reconstruction

Jason Lambert, Antoine Pedron, Guillaume Gens, Franck Bimbard, Lionel Lacassagne, Ekaterina Iakovleva, Stephane Le Berre

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Physics, Ultrasound

April 29, 2013 by hgpu

Split tiling for GPUs: automatic parallelization using trapezoidal tiles

Tobias Grosser, Albert Cohen, Paul H J Kelly, J. Ramanujam, P. Sadayappan, Sven Verdoolaege

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Source codes

Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, nVidia Quadro NVS 5200 M, Package, Performance

April 29, 2013 by hgpu

CUDA Based CAMshift Algorithm for Object Tracking Systems

Ji Hoon Jo, Sang Gu Lee

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 560

April 27, 2013 by hgpu

Efficient Computation of the Kleene Star in Max-Plus Algebra using a CUDA GPU

Hiroyuki Goto, Kazuhiro Toyoda

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Tags: Computer science, CUDA, Graph theory, nVidia, Tesla C2075

April 27, 2013 by hgpu

Modeling and Optimization of Parallel Matrix-based Computations on GPU

Andrew White

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Optimization, Tesla S1070, Thesis

April 27, 2013 by hgpu

Orchestrated Scheduling and Prefetching for GPGPUs

Adwait Jog, Onur Kayiran, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Ravishankar Iyer, Chita R. Das

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 285, Performance, Prefetch

April 27, 2013 by hgpu

A method for speeding up beam-tracing simulation using thread-level parallelization

Marjan Sikora, Ivo Mateljan

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Tags: Acoustics, Algorithms, CAD, Computer science

April 26, 2013 by hgpu

Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique

Congying Han, Tingting Feng, Guoping He, Tiande Guo

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Tags: Algorithms, Computer science, CUDA, nVidia

April 26, 2013 by hgpu

Design and Performance Analysis of Parallel Processing of SRTP Packets

Jan Wozniak

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Tags: Computer science, Intel, OpenCL, Security

April 26, 2013 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

Mr. Scan: Extreme Scale Density-Based Clustering using a Tree-Based Network of GPGPU Nodes

RealTime GPU-Based Motion Planning for Task Executions

Multigrid Optimization Methods for High Performance Computing

Analysis of Multicore CPU and GPU Toward Parallelization of Total Focusing Method Ultrasound Reconstruction

Split tiling for GPUs: automatic parallelization using trapezoidal tiles

CUDA Based CAMshift Algorithm for Object Tracking Systems

Efficient Computation of the Kleene Star in Max-Plus Algebra using a CUDA GPU

Modeling and Optimization of Parallel Matrix-based Computations on GPU

Orchestrated Scheduling and Prefetching for GPGPUs

A method for speeding up beam-tracing simulation using thread-level parallelization

Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique

Design and Performance Analysis of Parallel Processing of SRTP Packets

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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