high performance computing on graphics processing units: hgpu.org

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MemcachedGPU: Scaling-up Scale-out Key-value Stores

Tayler H. Hetherington, Mike O'Connor, Tor M. Aamodt

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Source codes

Tags: Computer science, CUDA, Databases, Energy-efficient computing, nVidia, nVidia GeForce GTX 750 Ti, Package, Tesla K20, Tesla K40

August 27, 2015 by hgpu

Towards Modeling Energy Consumption of Xeon Phi

Gary Lawson, Masha Sosonkina, Yuzhong Shen

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Tags: Computer science, Energy-efficient computing, Intel Xeon Phi, Molecular dynamics

May 28, 2015 by hgpu

Energy-efficient Computing on Distributed GPUs using Dynamic Parallelism and GPU-controlled Communication

Lena Oden, Benjamin Klenk, Holger Froning

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Tags: Cluster computing, Computer science, CUDA, Distributed computing, Energy-efficient computing, GPU cluster, nVidia, Tesla K20

March 25, 2015 by hgpu

GPGPU Performance and Power Estimation Using Machine Learning

Gene Wu, Joseph L. Greathouse, Alexander Lyashevsky, Nuwan Jayasena, Derek Chiou

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Tags: ATI, ATI Radeon HD 7970, Computer science, Energy-efficient computing, Machine learning, Neural networks, OpenCL

March 12, 2015 by hgpu

Energy-and cost-efficient Lattice-QCD computations using graphics processing units

Matthias Bach

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Tags: Algorithms, AMD FirePro S10000, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, Energy-efficient computing, High Energy Physics - Lattice, OpenCL, Physics, QCD, Thesis

March 3, 2015 by hgpu

A Survey of Architectural Techniques For DRAM Power Management

Sparsh Mittal

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Tags: Architecture, DVFS, Energy-efficient computing, HPC, main memory, Power-efficient computing

February 9, 2015 by sparsh0mittal

Power Management Techniques for Data Centers: A Survey

Sparsh Mittal

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Tags: Architecture, big data, cpu, Energy-efficient computing, HPC, Power-efficient computing

February 8, 2015 by sparsh0mittal

A Survey of Power Management Techniques for Phase Change Memory

Sparsh Mittal

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Tags: cpu, Energy-efficient computing, GPU, Memory, non-volatile memory, Power-efficient computing

February 3, 2015 by sparsh0mittal

Opportunities for Nonvolatile Memory Systems in Extreme-Scale High Performance Computing

Jeffrey S. Vetter, Sparsh Mittal

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Tags: cpu, Energy-efficient computing, GPU, high performance computing, Memory, Storage system

January 21, 2015 by sparsh0mittal

A Survey of Architectural Techniques For Improving Cache Power Efficiency

Sparsh Mittal

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Tags: Architecture, cache, cpu, Energy-efficient computing, GPU, Intel, Memory, Power-efficient computing

January 19, 2015 by sparsh0mittal

A Survey Of Architectural Approaches for Managing Embedded DRAM and Non-volatile On-chip Caches

Sparsh Mittal; Jeffrey S. Vetter; Dong Li

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Tags: cache, Compiler, cpu, Energy-efficient computing, GPU, Hardware Architecture, Memory model

January 12, 2015 by sparsh0mittal

Performance and Power Comparisons Between Nvidia and ATI GPUs

Ying Zhang, Lu Peng, Bin Li, Jih-Kwon Peir, Jianmin Chen

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 580, OpenCL, Performance

January 8, 2015 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

MemcachedGPU: Scaling-up Scale-out Key-value Stores

Towards Modeling Energy Consumption of Xeon Phi

Energy-efficient Computing on Distributed GPUs using Dynamic Parallelism and GPU-controlled Communication

GPGPU Performance and Power Estimation Using Machine Learning

Energy-and cost-efficient Lattice-QCD computations using graphics processing units

A Survey of Architectural Techniques For DRAM Power Management

Power Management Techniques for Data Centers: A Survey

A Survey of Power Management Techniques for Phase Change Memory

Opportunities for Nonvolatile Memory Systems in Extreme-Scale High Performance Computing

A Survey of Architectural Techniques For Improving Cache Power Efficiency

A Survey Of Architectural Approaches for Managing Embedded DRAM and Non-volatile On-chip Caches

Performance and Power Comparisons Between Nvidia and ATI GPUs

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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