high performance computing on graphics processing units: hgpu.org

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Energy efficiency of mixed precision iterative refinement methods using hybrid hardware platforms

Hartwig Anzt, Bjorn Rocker, Vincent Heuveline

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Tags: Computer science, Energy-efficient computing, Linear Algebra, Mixed precision, nVidia, Tesla C1060, Tesla S1070

February 22, 2011 by hgpu

Power-aware Performance of Mixed Precision Linear Solvers for FPGAs and GPGPUs

JunKyu Lee, Junqing Sun, Gregory D. Peterson, Robert J. Harrison, Robert J. Hinde

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Tags: Computer science, Energy-efficient computing, FPGA, Linear Algebra, Mixed precision, nVidia, Performance, Tesla C1060

February 18, 2011 by hgpu

Energy-efficient algorithms

Susanne Albers

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Tags: Algorithms, Computer science, Energy-efficient computing, Green, Review

February 11, 2011 by hgpu

Quantifying the Impact of GPUs on Performance and Energy Efficiency in HPC Clusters

J. Enos, C. Steffen, J. Fullop, M. Showerman, G. Shi, K. Esler, V. Kindratenko, J. Stone, J. Phillips

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

February 3, 2011 by hgpu

Acceleration and Energy Efficiency of a Geometric Algebra Computation using Reconfigurable Computers and GPUs

Holger Lange, Florian Stock, Andreas Koch, Dietmar Hildenbrand

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Tags: Computer science, CUDA, Energy-efficient computing, FPGA, nVidia, nVidia GeForce GTX 280

January 27, 2011 by hgpu

SPRAT: Runtime processor selection for energy-aware computing

Hiroyuki Takizawa, Katsuto Sato, Hiroaki Kobayashi

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Tags: Computer science, CUDA, Energy-efficient computing, High-level Languages, nVidia, nVidia GeForce 8800 GTX

January 20, 2011 by hgpu

Improving energy and power efficiency using NComputing and approaches for predicting reliability of complex computing systems

Hoang Pham, Hoang Pham

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Tags: Computer science, Energy-efficient computing, nVidia, nVidia GeForce 9800 GX2

January 8, 2011 by hgpu

Power Consumption of GPUs from a Software Perspective

Sylvain Collange, David Defour, Arnaud Tisserand

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 9800 GX2, Tesla C870, Tesla D870, Tesla T10P

January 7, 2011 by hgpu

A low-power handheld GPU using logarithmic arithmetic and triple DVFS power domains

Byeong-Gyu Nam, Jeabin Lee, Kwanho Kim, Seung Jin Lee, and Hoi-Jun Yoo

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Tags: 3D Graphics and Realism, Computer science, Energy-efficient computing, OpenGL, Presentation

December 28, 2010 by hgpu

BLAS Comparison on FPGA, CPU and GPU

Srinidhi Kestur, John D. Davis, Oliver Williams

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Tags: BLAS, Computer science, CUBLAS, CUDA, Energy-efficient computing, FPGA, Linear Algebra, nVidia, nVidia GeForce 9500 GT, Performance, Tesla C1060

December 6, 2010 by hgpu

A flexible simulation framework for graphics architectures

J. W. Sheaffer, D. Luebke, K. Skadron

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Source codes

Tags: Computer science, Energy-efficient computing, nVidia, nVidia GeForce 4, OpenGL, Package

November 29, 2010 by hgpu

On the energy efficiency of graphics processing units for scientific computing

S. Huang, S. Xiao, W. Feng

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 280

November 26, 2010 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

Energy efficiency of mixed precision iterative refinement methods using hybrid hardware platforms

Power-aware Performance of Mixed Precision Linear Solvers for FPGAs and GPGPUs

Energy-efficient algorithms

Quantifying the Impact of GPUs on Performance and Energy Efficiency in HPC Clusters

Acceleration and Energy Efficiency of a Geometric Algebra Computation using Reconfigurable Computers and GPUs

SPRAT: Runtime processor selection for energy-aware computing

Improving energy and power efficiency using NComputing and approaches for predicting reliability of complex computing systems

Power Consumption of GPUs from a Software Perspective

A low-power handheld GPU using logarithmic arithmetic and triple DVFS power domains

BLAS Comparison on FPGA, CPU and GPU

A flexible simulation framework for graphics architectures

On the energy efficiency of graphics processing units for scientific computing

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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