high performance computing on graphics processing units: hgpu.org

hgpu.org » Performance

Parallel implementation of the Finite-Difference Time-Domain method in Open Computing Language

T.P. Stefanski, S. Benkler, N. Chavannes, N. Kuster

Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, OpenCL, Performance

April 2, 2011 by hgpu

A characterization and analysis of PTX kernels

Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance, PTX

April 2, 2011 by hgpu

Non-intrusive Performance Analysis of Parallel Hardware Accelerated Applications on Hybrid Architectures

Robert Dietrich, Thomas Ilsche, Guido Juckeland

Tags: Computer science, CUDA, nVidia, OpenCL, Performance

April 1, 2011 by hgpu

Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

Joshua C. Bowden

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Tags: BLAS, Computer science, GPU cluster, MPI, nVidia, nVidia Quadro FX 580, OpenCL, Performance, Tesla C1060, Tesla S2050, Tesla T10

March 31, 2011 by hgpu

Evaluation Framework for GPU Performance Based on OpenCL Standard

M. Jurecko, J. Kocisova, J. Busa, T. Kasanicky, M. Domiter, M. Zvada

Tags: ATI, Computer science, GPU cluster, nVidia, OpenCL, Performance

March 31, 2011 by hgpu

An Empirically Optimized Radix Sort for GPU

B. Huang, Jinlan Gao, Xiaoming Li

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Tags: Algorithms, Computer science, MPI, nVidia, Performance, Sorting

March 28, 2011 by hgpu

A parallelization cost model for GPU

Zhang Dan, Zhao Rongcai, Han Lin, Wang Tao, Qu Jin

Tags: Computer science, Optimization, Performance

March 27, 2011 by hgpu

Modeling GPU-CPU Workloads and Systems

Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce 8600 GS, nVidia GeForce GTX 280, Performance, Task scheduling, Tesla C1060

March 23, 2011 by hgpu

Aspects of GPU for general purpose high performance computing

Takayuki Aoki, Shoichi Hirasawa, Akira Nukada, Hiroki Honda, Satoshi Matsuoka

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Performance, Programming techniques, Task scheduling

March 23, 2011 by hgpu

Improving accuracy for matrix multiplications on GPUs

Matthew Badin, Lubomir Bic, Michael Dillencourt, Alexandru Nicolau

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Performance

March 22, 2011 by hgpu

Performance comparison of FPGA, GPU and CPU in image processing

Shuichi Asano, Tsutomu Maruyama, Yoshiki Yamaguchi

Tags: Filtering, FPGA, Image processing, Performance

March 21, 2011 by hgpu

An approach for the effective utilization of GP-GPUs in parallel combined simulation

David W. Bauer, Matthew McMahon, Ernest H. Page

Tags: Computer science, Heterogeneous systems, Partial differential equations, PDEs, Performance

March 21, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Parallel implementation of the Finite-Difference Time-Domain method in Open Computing Language

A characterization and analysis of PTX kernels

Non-intrusive Performance Analysis of Parallel Hardware Accelerated Applications on Hybrid Architectures

Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

Evaluation Framework for GPU Performance Based on OpenCL Standard

An Empirically Optimized Radix Sort for GPU

A parallelization cost model for GPU

Modeling GPU-CPU Workloads and Systems

Aspects of GPU for general purpose high performance computing

Improving accuracy for matrix multiplications on GPUs

Performance comparison of FPGA, GPU and CPU in image processing

An approach for the effective utilization of GP-GPUs in parallel combined simulation

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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