high performance computing on graphics processing units: hgpu.org

David Abdurachmanov, Kapil Arya, Josh Bendavid, Tommaso Boccali, Gene Cooperman, Andrea Dotti, Peter Elmer, Giulio Eulisse, Francesco Giacomini, Christopher D. Jones, Matteo Manzali, Shahzad Muzaffar

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Tags: ARM, Computational Physics, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, Performance, Physics

November 11, 2013 by hgpu

Initial Explorations of ARM Processors for Scientific Computing

David Abdurachmanov, Peter Elmer, Giulio Eulisse, Shahzad Muzaffar

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Tags: ARM, Computational Physics, Energy-efficient computing, High Energy Physics - Experiment, Numerical Analysis, Physics

November 4, 2013 by hgpu

Energy Efficiency Studies of Mont Blanc Applications

Mads Holden

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Source codes

Tags: ARM, Computer science, Energy-efficient computing, Matrix multiplication, OpenCL, Package, Thesis

October 21, 2013 by hgpu

Workload Analysis and Efficient OpenCL-based Implementation of SIFT Algorithm on a Smartphone

Guohui Wang, Blaine Rister, Joseph R. Cavallaro

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Tags: ARM, Computational Complexity, Computer science, Computer vision, OpenCL, SIFT

September 20, 2013 by hgpu

Performance Analysis on Energy Efficient High-Performance Architectures

Roman Iakymchuk, Francois Trahay

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Tags: ARM, Computer science, CUDA, Energy-efficient computing, nVidia, Performance

June 16, 2013 by hgpu

General Purpose Computing on Low-Power Embedded GPUs: Has It Come of Age?

Arian Maghazeh, Unmesh D. Bordoloi, Petru Eles, Zebo Peng

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Tags: ARM, Computer science, nVidia, OpenCL, Performance, Tesla M2050

March 20, 2013 by hgpu

Energy efficiency vs. performance of the numerical solution of PDEs: an application study on a low-power ARM-based cluster

Dominik Goeddeke, Dimitri Komatitsch, Markus Geveler, Dirk Ribbrock, Nikola Rajovic, Nikola Puzovic, Alex Ramirez

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Tags: ARM, Differential equations, Energy-efficient computing, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, Partial differential equations, PDEs, Spectral elements

November 26, 2012 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

Real-time Image Processing on Low Cost Embedded Computers

Assessing the Performance-Energy Balance of Graphics Processors for Spectral Unmixing

Optimising OpenCL kernels for the ARM Mali-T600 GPUs

Parallelization and Optimization of Feature Detection Algorithms on Embedded GPU

Framework for utilizing computational devices within simulation

Explorations of the Viability of ARM and Xeon Phi for Physics Processing

Initial Explorations of ARM Processors for Scientific Computing

Energy Efficiency Studies of Mont Blanc Applications

Workload Analysis and Efficient OpenCL-based Implementation of SIFT Algorithm on a Smartphone

Performance Analysis on Energy Efficient High-Performance Architectures

General Purpose Computing on Low-Power Embedded GPUs: Has It Come of Age?

Energy efficiency vs. performance of the numerical solution of PDEs: an application study on a low-power ARM-based cluster

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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