high performance computing on graphics processing units: hgpu.org

Clemens Grelck, Kevin Hammond, Heinz Hertlein, Philip Holzenspies, Chris Jesshope, Raimund Kirner, Bernd Scheuermann, Alex Shafarenko, Iraneus Te Boekhorst, Volkmar Wieser

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 425 M, Performance, Visualization

December 29, 2011 by hgpu

Monitoring Multiple Streams with Dynamic Time Warping using Graphic Processors

Jason Chang, Mi-Yen Yeh

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, Performance, Tesla C1060

December 28, 2011 by hgpu

Efficient parallel lists intersection and index compression algorithms using graphics processing units

Naiyong Ao, Fan Zhang, Di Wu, Douglas S. Stones, Gang Wang, Xiaoguang Liu, Jing Liu, Sheng Lin

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Tags: Algorithms, Compression, Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce GTX 480, Performance

December 28, 2011 by hgpu

Sparse matrix-vector multiplication on GPGPU clusters: A new storage format and a scalable implementation

Moritz Kreutzer, Georg Hager, Gerhard Wellein, Holger Fehske, Achim Basermann, Alan R. Bishop

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Tags: Computer science, GPU cluster, nVidia, Performance, Sparse matrix, Tesla C2050, Tesla C2070

December 26, 2011 by hgpu

Modeling Parallel Programs for Heterogeneous Computing

Ferosh Jacob

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance

December 25, 2011 by hgpu

Beyond Amdahl’s Law: An Objective Function That Links Multiprocessor Performance Gains To Delay and Energy

Andrew S. Cassidy, Andreas G. Andreou

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Tags: Computer science, Performance

December 22, 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

* * *

high performance computing on graphics processing units: hgpu.org

PARRAY: A Unifying Array Representation for Heterogeneous Parallelism

Efficient mapping of the training of Convolutional Neural Networks to a CUDA-based cluster

Automatic SIMD Code Generation

Extending a C-like Language for Portable SIMD Programming

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

Process Time Comparison between GPU and CPU

Engineering Concurrent Software Guided by Statistical Performance Analysis

Monitoring Multiple Streams with Dynamic Time Warping using Graphic Processors

Efficient parallel lists intersection and index compression algorithms using graphics processing units

Sparse matrix-vector multiplication on GPGPU clusters: A new storage format and a scalable implementation

Modeling Parallel Programs for Heterogeneous Computing

Beyond Amdahl’s Law: An Objective Function That Links Multiprocessor Performance Gains To Delay and Energy

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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