high performance computing on graphics processing units: hgpu.org

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Predictive Modeling and Analysis of OP2 on Distributed Memory GPU Clusters

G.R. Mudalige, M.B. Giles, C. Bertolli, P.H.J Kelly

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Tags: Benchmarking, Computer science, CUDA, Fluid dynamics, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 560 Ti, Performance, Tesla C2070

November 19, 2011 by hgpu

Design and Implementation of a PTX Emulation Library

Albert Claret Exojo

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Tags: Computer science, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Performance, PTX, Tesla S870, Thesis

November 18, 2011 by hgpu

Programming Future Parallel Architectures with Haskell and Intel ArBB

Bo Joel Svensson, Ryan Newton

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Performance, Programming Languages

November 17, 2011 by hgpu

Characterization and Transformation of Unstructured Control Flow in GPU Applications

Haicheng Wu, Gregory Diamos, Si Li, Sudhakar Yalamanchili

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Programming Languages

November 17, 2011 by hgpu

Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs

Allen D. Malony, Scott Biersdorff, Sameer Shende, Heike Jagode, Stanimire Tomov, Guido Juckeland, Robert Dietrich, Duncan Poole, Christopher Lamb

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Tesla C870

November 17, 2011 by hgpu

Large Scale Plane Wave Pseudopotential Density Functional Theory Calculations on GPU Clusters

Long Wang, Weile Jia, Xuebin Chi, Yue Wu, Weiguo Gao, Lin-Wang Wang

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Tags: Algorithms, Computational chemistry, CUDA, GPU cluster, MPI, nVidia, Performance, Physics, Tesla C2050

November 14, 2011 by hgpu

Comprehensive Performance Monitoring for GPU Cluster Systems

K. Furlinger, N.J. Wright, D. Skinner

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, MPI, nVidia, Performance, Tesla C2050

November 13, 2011 by hgpu

Evaluation of an accelerator architecture for Speckle Reducing Anisotropic Diffusion

Siddharth Nilakantan, Srikanth Annangi, Nikhil Gulati, Karthik Sangaiah, Mark Hempstead

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Tags: Algorithms, Computer science, CUDA, Embedded high-performance computing, nVidia, nVidia GeForce 8800 GTX, OpenMP, Performance, Ultrasound

November 12, 2011 by hgpu

Building a Real-Time Multi-GPU Platform: Robust Real-Time Interrupt Handling Despite Closed-Source Drivers

Glenn A. Elliott, James H. Anderson

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Source codes

Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 470, Package, Performance

November 11, 2011 by hgpu

Improving GPU Performance via Large Warps and Two-Level Warp Scheduling

Veynu Narasiman, Chang Joo Lee, Michael Shebanow, Rustam Miftakhutdinov, Onur Mutlu, Yale N. Patt

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Tags: Computer science, CUDA, nVidia, Performance, Warp level parallelism

November 11, 2011 by hgpu

Understanding the impact of CUDA tuning techniques for Fermi

Yuri Torres, Arturo Gonzalez-Escribano, Diego R. Llanos

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Performance

November 10, 2011 by hgpu

Performance Tuning for CUDA-Accelerated Neighborhood Denoising Filters

Ziyi Zheng, Wei Xu and Klaus Mueller

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Tags: Computed tomography, CT, CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 480, Performance, Signal denoising

November 9, 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

Predictive Modeling and Analysis of OP2 on Distributed Memory GPU Clusters

Design and Implementation of a PTX Emulation Library

Programming Future Parallel Architectures with Haskell and Intel ArBB

Characterization and Transformation of Unstructured Control Flow in GPU Applications

Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs

Large Scale Plane Wave Pseudopotential Density Functional Theory Calculations on GPU Clusters

Comprehensive Performance Monitoring for GPU Cluster Systems

Evaluation of an accelerator architecture for Speckle Reducing Anisotropic Diffusion

Building a Real-Time Multi-GPU Platform: Robust Real-Time Interrupt Handling Despite Closed-Source Drivers

Improving GPU Performance via Large Warps and Two-Level Warp Scheduling

Understanding the impact of CUDA tuning techniques for Fermi

Performance Tuning for CUDA-Accelerated Neighborhood Denoising Filters

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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