high performance computing on graphics processing units: hgpu.org

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New Basic Linear Algebra Methods for Simulation on GPUs

Jian Shi, Yiwei Zhang, Blake langland, Jijun Tang, Roger Dougal

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla T10

April 9, 2012 by hgpu

A Study of Productivity and Performance of Modern Vector Processors

Paul Springer

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 6000, OpenCL, Performance, Thesis

April 9, 2012 by hgpu

Tiled Shading

Ola Olsson, Ulf Assarsson

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Source codes

Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, GLSL, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenGL, Package

April 9, 2012 by hgpu

A GPU-Based Accelerator for Chinese Word Segmentation

Xiwu Gu, Ruixuan Li, Kunmei Wen, Bei Peng, Weijun Xiao

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTS 250, Text mining

April 9, 2012 by hgpu

A Scalable Framework for Heterogeneous GPU-Based Clusters

Fengguang Song, Jack Dongarra, Stanimire Tomov

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Tags: Algorithms, Computer science, CUDA, Factorization, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, nVidia, Tesla M2070

April 7, 2012 by hgpu

Bound the Peak Performance of SGEMM on GPU with software-controlled fast memory

Junjie Lai, Andre Seznec

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Tags: Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce GTX 580, Performance

April 7, 2012 by hgpu

Robust Computational Tools for Multiple Testing With Genetic Association Studies

William L. Welbourn Jr.

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

April 7, 2012 by hgpu

GPU-based Line Probing Techniques for Mikami Routing Algorithm

Chiu-Yi Chan, Jiun-Li Lin, Lung-Sheng Chien, Tsung-Yi Ho, Yi-Yu Liu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

April 7, 2012 by hgpu

Fast Spoken Query Detection Using Lower-Bound Dynamic Time Warping on Graphical Processing Units

Yaodong Zhang, Kiarash Adl, James Glass

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Tags: Computer science, CUDA, Nearest neighbour, nVidia, nVidia GeForce GTX 580

April 6, 2012 by hgpu

A High-Performance Parallel FDTD Method Enhanced by Using SSE Instruction Set

Dau-Chyrh Chang, Lihong Zhang, Xiaoling Yang, Shao-Hsiang Yen, Wenhua Yu

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Tags: CUDA, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, nVidia, Tesla C1060

April 6, 2012 by hgpu

GPGPU for orbital function evaluation with a new updating scheme

Yutaka Uejima, Ryo Maezono

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 480, Physics, QMC

April 6, 2012 by hgpu

Visualization of Pareto Solutions by Spherical Self-Organizing Map and It’s acceleration on a GPU

Masato Yoshimi, Takuya Kuhara, Kaname Nishimoto, Mitsunori Miki, Tomoyuki Hiroyasu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8400 GS, nVidia GeForce GTX 280, Optimization, Self-organizing map, Tesla C1060, Visualization

April 5, 2012 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

See all packages

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high performance computing on graphics processing units: hgpu.org

New Basic Linear Algebra Methods for Simulation on GPUs

A Study of Productivity and Performance of Modern Vector Processors

Tiled Shading

A GPU-Based Accelerator for Chinese Word Segmentation

A Scalable Framework for Heterogeneous GPU-Based Clusters

Bound the Peak Performance of SGEMM on GPU with software-controlled fast memory

Robust Computational Tools for Multiple Testing With Genetic Association Studies

GPU-based Line Probing Techniques for Mikami Routing Algorithm

Fast Spoken Query Detection Using Lower-Bound Dynamic Time Warping on Graphical Processing Units

A High-Performance Parallel FDTD Method Enhanced by Using SSE Instruction Set

GPGPU for orbital function evaluation with a new updating scheme

Visualization of Pareto Solutions by Spherical Self-Organizing Map and It’s acceleration on a GPU

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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

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