high performance computing on graphics processing units: hgpu.org

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A programming framework for data streaming on the Xeon Phi

S. Chapeland

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Tags: Intel Xeon Phi, Physics

December 7, 2017 by hgpu

MILC Code Performance on High End CPU and GPU Supercomputer Clusters

Ruizi Li, Carleton DeTar, Steven Gottlieb, Doug Toussaint

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Intel Xeon Phi, nVidia, Performance, Physics, QCD, Tesla K20, Tesla P100

December 7, 2017 by hgpu

Blocked All-Pairs Shortest Paths Algorithm on Intel Xeon Phi KNL Processor: A Case Study

Enzo Rucci, Armando De Giusti, Marcelo Naiouf

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Tags: All-Pairs Distance, Computer science, Intel Xeon Phi, OpenMP

December 3, 2017 by hgpu

2D Image Convolution using Three Parallel Programming Models on the Xeon Phi

Ashkan Tousimojarad, Wim Vanderbauwhede, W Paul Cockshott

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Tags: Algorithms, Computer science, Intel Xeon Phi, OpenCL, OpenMP, Programming Languages

November 30, 2017 by hgpu

Accelerating HPC codes on Intel(R) Omni-Path Architecture networks: From particle physics to Machine Learning

Peter Boyle, Michael Chuvelev, Guido Cossu, Christopher Kelly, Christoph Lehner, Lawrence Meadows

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Tags: Benchmarking, Computer science, Intel Xeon Phi, Machine learning, MPI, OpenMP, Package, Performance, Physics

November 16, 2017 by hgpu

Vectorized algorithm for multidimensional Monte Carlo integration on modern GPU, CPU and MIC architectures

Przemyslaw Stpiczynski

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Tags: Algorithms, Computer science, Intel Xeon Phi, Monte Carlo integration, nVidia, OpenACC, OpenMP, Pseudo-random number generators, Tesla K40

November 12, 2017 by hgpu

Lattice QCD on new chips: a community summary

Antonio Rago

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Tags: CUDA, HEP, High Energy Physics - Lattice, Intel Xeon Phi, MPI, nVidia, OpenMP, Physics, QCD, Review, Tesla V100

November 7, 2017 by hgpu

Deep and Shallow convections in Atmosphere Models on Intel Xeon Phi Coprocessor Systems

Srinivasan Ramesh, Sathish Vadhiyar, Ravi Nanjundiah, PN Vinayachandran

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Tags: Earth and Space Sciences, Intel Xeon Phi, OpenMP

November 5, 2017 by hgpu

Early Results of Deep Learning on the Stampede2 Supercomputer

Zhao Zhang, Weijia Xu, Niall Gaffney, Daniel Stanzione

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Tags: Caffe, Computer science, Deep learning, Intel Xeon Phi, TensorFlow

October 29, 2017 by hgpu

Wilson and Domainwall Kernels on Oakforest-PACS

Issaku Kanamori, Hideo Matsufuru

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Tags: HEP, High Energy Physics - Lattice, Intel Xeon Phi, Mathematical Software, MPI, OpenMP, Package, Physics, QCD

October 21, 2017 by hgpu

Energy efficiency of finite difference algorithms on multicore CPUs, GPUs, and Intel Xeon Phi processors

Satya P. Jammy, Christian T. Jacobs, David J. Lusher, Neil D. Sandham

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Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, Finite difference, Intel Xeon Phi, nVidia, Tesla K40

October 3, 2017 by hgpu

An Efficient Load Balancing Method for Tree Algorithms

Osama Talaat Ibrahim, Ahmed El-Mahdy

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Tags: Algorithms, Computer science, Intel Xeon Phi, load balancing, Performance

October 3, 2017 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

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high performance computing on graphics processing units: hgpu.org

A programming framework for data streaming on the Xeon Phi

MILC Code Performance on High End CPU and GPU Supercomputer Clusters

Blocked All-Pairs Shortest Paths Algorithm on Intel Xeon Phi KNL Processor: A Case Study

2D Image Convolution using Three Parallel Programming Models on the Xeon Phi

Accelerating HPC codes on Intel(R) Omni-Path Architecture networks: From particle physics to Machine Learning

Vectorized algorithm for multidimensional Monte Carlo integration on modern GPU, CPU and MIC architectures

Lattice QCD on new chips: a community summary

Deep and Shallow convections in Atmosphere Models on Intel Xeon Phi Coprocessor Systems

Early Results of Deep Learning on the Stampede2 Supercomputer

Wilson and Domainwall Kernels on Oakforest-PACS

Energy efficiency of finite difference algorithms on multicore CPUs, GPUs, and Intel Xeon Phi processors

An Efficient Load Balancing Method for Tree Algorithms

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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