high performance computing on graphics processing units: hgpu.org

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Kernel Fusion: An Effective Method for Better Power Efficiency on Multithreaded GPU

Guibin Wang, YiSong Lin, Wei Yi

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

April 9, 2011 by hgpu

Energy consumption of Graphic Processing Units with respect to automotive use-cases

L. Stolz, H. Endt, M. Vaaraniemi, D. Zehe, W. Stechele

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Tags: Computational Engineering, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9400 GT, nVidia GeForce GT 220, OpenCL

April 3, 2011 by hgpu

A Predictive Shutdown Technique for GPU Shader Processors

Po-Han Wang, Yen-Ming Chen, Chia-Lin Yang, Yu-Jung Cheng

Tags: Computer science, Energy-efficient computing, Hardware Architecture

March 10, 2011 by hgpu

Statistical Power Consumption Analysis and Modeling for GPU-based Computing

Xiaohan Ma, Mian Dong, Lin Zhong, Zhigang Deng

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8800 GT

February 24, 2011 by hgpu

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

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

Kernel Fusion: An Effective Method for Better Power Efficiency on Multithreaded GPU

Energy consumption of Graphic Processing Units with respect to automotive use-cases

A Predictive Shutdown Technique for GPU Shader Processors

Statistical Power Consumption Analysis and Modeling for GPU-based Computing

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

Recent source codes

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

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