high performance computing on graphics processing units: hgpu.org

hgpu.org » Algorithms

Parallel frequent patterns mining algorithm on GPU

Jiayi Zhou, Kun-Ming Yu, Bin-Chang Wu

Tags: Algorithms, Computer science, Data mining, Databases

March 27, 2011 by hgpu

Exploiting Parallelism in Iterative Irregular Maxflow Computations on GPU Accelerators

S. Solomon, P. Thulasiraman, R.K. Thulasiram

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia

March 27, 2011 by hgpu

Image parallel processing based on GPU

Nan Zhang, Yun-shan Chen, Jian-li Wang

Tags: Algorithms, Filtering, Image processing, Programming techniques

March 27, 2011 by hgpu

Fast Virus Signature Matching Based on the High Performance Computing of GPU

Yang Wan Cheng

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Tags: Algorithms, Computer science, Security

March 25, 2011 by hgpu

Accelerating Simulations of Light Scattering Based on Finite-Difference Time-Domain Method with General Purpose GPUs

A. Balevic, L. Rockstroh, A. Tausendfreund, S. Patzelt, G. Goch, S. Simon

Tags: Algorithms, CUDA, FDTD, Finite-difference time-domain, nVidia, Optics, Physics

March 24, 2011 by hgpu

Fast in-place sorting with CUDA based on bitonic sort

Hagen Peters, Ole Schulz-Hildebrandt, and Norbert Luttenberger

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Sorting

March 24, 2011 by hgpu

GPU Random Numbers via the Tiny Encryption Algorithm

Fahad Zafar, Marc Olano, Aaron Curtis

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 9800 GT, Pseudo-random number generators

March 23, 2011 by hgpu

Dense linear algebra solvers for multicore with GPU accelerators

Stanimire Tomov, Rajib Nath, Hatem Ltaief, Jack Dongarra

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Source codes

Tags: Algorithms, Computer science, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Package

March 23, 2011 by hgpu

Efficient stream reduction on the GPU

David Roger, Ulf Assarsson, Nicolas Holzschuch

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTS, OpenGL, Programming techniques

March 23, 2011 by hgpu

Bridging the GPGPU-FPGA efficiency gap

Christopher W. Fletcher, Ilia A. Lebedev, Narges B. Asadi, Daniel R. Burke, John Wawrzynek

Tags: Algorithms, Bayesian, Computer science, FPGA, Heterogeneous systems, nVidia, OpenCL

March 22, 2011 by hgpu

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space (thesis)

Ophir Setter

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Tags: Algorithms, Computer science, Distance transform, Voronoi diagram

March 22, 2011 by hgpu

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space

Ophir Setter, Micha Sharir, Dan Halperin

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Tags: Algorithms, Computer science, Distance transform, Voronoi diagram

March 22, 2011 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Parallel frequent patterns mining algorithm on GPU

Exploiting Parallelism in Iterative Irregular Maxflow Computations on GPU Accelerators

Image parallel processing based on GPU

Fast Virus Signature Matching Based on the High Performance Computing of GPU

Accelerating Simulations of Light Scattering Based on Finite-Difference Time-Domain Method with General Purpose GPUs

Fast in-place sorting with CUDA based on bitonic sort

GPU Random Numbers via the Tiny Encryption Algorithm

Dense linear algebra solvers for multicore with GPU accelerators

Efficient stream reduction on the GPU

Bridging the GPGPU-FPGA efficiency gap

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space (thesis)

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space

Recent source codes

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

INT v.s. FP: A framework to compare low-bit integer and float-point formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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