high performance computing on graphics processing units: hgpu.org

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A Survey of Soft-Error Mitigation Techniques for Non-Volatile Memories

Sparsh Mittal

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Tags: classification, Memory, Reliability, Review

February 19, 2017 by sparsh0mittal

Machines and Algorithms

Peter A Boyle

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Tags: Algorithms, Computational Physics, CUDA, HEP, High Energy Physics - Lattice, Intel Xeon Phi, nVidia, Physics, QCD, Review

February 7, 2017 by hgpu

Deep Learning for Computational Chemistry

Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu

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Tags: Algorithms, Chemistry, Computational chemistry, Computer science, Deep learning, Machine learning, Neural networks, Review

January 19, 2017 by hgpu

Comparing Parallel Hardware Architectures for Visually Guided Robot Navigation

Wolfram Schenck, Michael Horst, Tim Tiedemann, Sergius Gaulik, Ralf Moller

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Tags: ATI, ATI Radeon HD 7970, Computer science, Computer vision, FPGA, nVidia, nVidia GeForce GTX 570, nVidia Quadro NVS 4200 M, OpenCL, Review, Robotics

July 11, 2016 by hgpu

Parallel Programming Models for Dense Linear Algebra on Heterogeneous Systems

M. Abalenkovs, A. Abdelfattah, J. Dongarra, M. Gates, A. Haidar, J. Kurzak, P. Luszczek, S. Tomov, I. Yamazaki, A. YarKhan

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Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, OpenCL, Programming techniques, Review, Tesla K40

April 19, 2016 by hgpu

Deep learning review and its applications

Andoni Azkarate Saiz

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Tags: Computer science, CUDA, Deep learning, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 660, Review, Thesis

February 1, 2016 by hgpu

A Survey Of Techniques for Architecting and Managing Asymmetric Multicore Processors

Sparsh Mittal

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Tags: asymmetric multicore processor (AMP), big/little system, classification, heterogeneous multicore architecture, reconfigurable AMP, Review, survey

November 13, 2015 by sparsh0mittal

Sequential Code Parallelization for Multi-core Embedded Systems: A Survey of Models, Algorithms and Tools

Jorge Alberto Castro Godinez

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Tags: Computer science, Parallelization, Review, Thesis

October 22, 2015 by hgpu

Use of modern GPUs in Design Optimization

M.H. Aissa, T. Verstraete, C. Vuik

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Tags: Computer science, Optimization, Review

May 19, 2015 by hgpu

A Survey Of Architectural Approaches for Data Compression in Cache and Main Memory Systems

Sparsh Mittal and Jeffrey S. Vetter

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Tags: 3D memory, bandwidth compression, cache, classification, cpu, GPU, HPC, main memory, NVM, Review

May 18, 2015 by sparsh0mittal

Pseudorandom Numbers Generation for Monte Carlo Simulations on GPUs: OpenCL Approach

Vadim Demchik

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Source codes

Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Computer science, Monte Carlo simulation, nVidia, nVidia GeForce GTX 560, nVidia GeForce GTX 560 M, nVidia GeForce GTX 780, OpenCL, Package, Pseudo-random number generators, Review, Tesla K40

March 25, 2015 by hgpu

A Review of CUDA, MapReduce, and Pthreads Parallel Computing Models

Kato Mivule, Benjamin Harvey, Crystal Cobb, Hoda El Sayed

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Tags: Computer science, CUDA, MapReduce, nVidia, Overview, Pthreads, Review, Tesla K20

October 18, 2014 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 Survey of Soft-Error Mitigation Techniques for Non-Volatile Memories

Machines and Algorithms

Deep Learning for Computational Chemistry

Comparing Parallel Hardware Architectures for Visually Guided Robot Navigation

Parallel Programming Models for Dense Linear Algebra on Heterogeneous Systems

Deep learning review and its applications

A Survey Of Techniques for Architecting and Managing Asymmetric Multicore Processors

Sequential Code Parallelization for Multi-core Embedded Systems: A Survey of Models, Algorithms and Tools

Use of modern GPUs in Design Optimization

A Survey Of Architectural Approaches for Data Compression in Cache and Main Memory Systems

Pseudorandom Numbers Generation for Monte Carlo Simulations on GPUs: OpenCL Approach

A Review of CUDA, MapReduce, and Pthreads Parallel Computing Models

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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