high performance computing on graphics processing units: hgpu.org

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A File System Using GPU-Accelerated File-wise Reliability Scheme

Chien-Kai Tseng, Shang-Chieh Lin, Yarsun Hsu

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Tags: Computer science, CUDA, Fault tolerance, nVidia, Tesla M2050

August 30, 2012 by hgpu

Fault Tree Analysis Speed-up with GPU Parallel Computing

Hadi Aghassi, Farrokh Aghassi

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Tags: Algorithms, Computer science, CUDA, Fault tolerance, Monte Carlo simulation, nVidia, nVidia GeForce 8600 GS

July 1, 2012 by hgpu

PartialRC: A Partial Recomputing Method for Efficient Fault Recovery on GPGPUs

Xin-Hai Xu, Xue-Jun Yang, Jing-Ling Xue, Yu-Fei Lin, Yi-Song Lin

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Tags: Computer science, CUDA, Fault tolerance, Heterogeneous systems, nVidia, nVidia GeForce GTX 295

March 6, 2012 by hgpu

G-CP: Providing Fault Tolerance on the GPU through Software Checkpointing

Felix Loh, Matt Sinclair

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Tags: Algorithms, Computer science, CUDA, Fault tolerance, nVidia, Tesla C1060

December 25, 2011 by hgpu

Soft Error Resilient QR Factorization for Hybrid System

Peng Du, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Fault tolerance, Hybrid computing, Linear Algebra, nVidia, Tesla C2050, Tesla M2070

November 20, 2011 by hgpu

Natural HPC substrate: Exploitation of mixed multicore CPU and GPUs

Moussa Taifi, Abdallah Khreishah, Justin Y. Shi

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Tags: Computer science, CUDA, Fault tolerance, Heterogeneous systems, nVidia, nVidia GeForce 8400 GS, Tesla C1060

November 15, 2011 by hgpu

Sustainable GPU Computing at Scale

Justin Y. Shi, Moussa Taifi, Abdallah Khreishah, Jie Wu

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Tags: Computer science, CUBLAS, CUDA, Energy-efficient computing, Fault tolerance, nVidia, OpenMPI, Tesla S1070

November 12, 2011 by hgpu

Hauberk: Lightweight Silent Data Corruption Error Detector for GPGPU

Keun Soo Yim, Cuong Pham, Mushfiq Saleheen, Zbigniew Kalbarczyk, Ravishankar Iyer

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Tags: Computer science, CUDA, Error recovery, Fault tolerance, nVidia, Tesla S1070

September 25, 2011 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 File System Using GPU-Accelerated File-wise Reliability Scheme

Fault Tree Analysis Speed-up with GPU Parallel Computing

PartialRC: A Partial Recomputing Method for Efficient Fault Recovery on GPGPUs

G-CP: Providing Fault Tolerance on the GPU through Software Checkpointing

Soft Error Resilient QR Factorization for Hybrid System

Natural HPC substrate: Exploitation of mixed multicore CPU and GPUs

Sustainable GPU Computing at Scale

Hauberk: Lightweight Silent Data Corruption Error Detector for GPGPU

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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