high performance computing on graphics processing units: hgpu.org

hgpu.org » Fault tolerance

A Survey of Techniques for Modeling and Improving Reliability of Computing Systems

Sparsh Mittal, Jeffrey Vetter

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Tags: cache, cpu, Fault tolerance, GPU, main memory, non-volatile memory, Reliability, resilience, vulnerability

April 21, 2015 by sparsh0mittal

Error Resilience Evaluation on GPGPU Applications

Bo Fang

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Source codes

Tags: Algorithms, Computer science, CUDA, Fault tolerance, nVidia, Package, Thesis

August 21, 2014 by hgpu

Implementation and Experimental Evaluation of a CUDA Core under Single Event Effects

W. Nedel, F. Kastensmidt, J.R. Azambuja

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Tags: CUDA, Fault simulation, Fault tolerance, FPGA

June 7, 2014 by hgpu

Software-Based Hardening Strategies for Neutron Sensitive FFT Algorithms on GPUs

L. L. Pilla, P. Rech, F. Silvestri, C. Frost, P. O. A. Navaux, M. Sonza Reorda, L. Carro

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Tags: Computer science, CUDA, Fault tolerance, FFT, nVidia, Tesla C2050

June 6, 2014 by hgpu

GPGPUs: How to Combine High Computational Power with High Reliability

L. Bautista Gomez, F. Cappello, L. Carro, N. DeBardeleben, B. Fang, S. Gurumurthi, S. Keckler, K. Pattabiraman, P. Rech, M. Sonza Reorda

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Tags: Computer science, CUDA, Fault tolerance, nVidia, nVidia GeForce GTX 480, Tesla C2050

February 15, 2014 by hgpu

Evaluating the Viability of Application-Driven Cooperative CPU/GPU Fault Detection

Dong Li, Seyong Lee, Jeffrey S. Vetter

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Tags: Computer science, CUDA, Fault tolerance, Heterogeneous systems, nVidia

September 11, 2013 by hgpu

Experimental Evaluation of Thread Distribution Effects on Multiple Output Errors in GPUs

P. Rech, C. Aguiar, C. Frost, L. Carro

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Tags: Computer science, CUDA, Fault tolerance, nVidia, nVidia GeForce GTX 480

July 21, 2013 by hgpu

GPUburn: A System to Test and Mitigate GPU Hardware Failures

David Defour, Eric Petit

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Tags: Benchmarking, Computer science, CUDA, Fault tolerance, nVidia, OpenCL, Tesla D870

June 2, 2013 by hgpu

From Experiment to Design – Fault Characterization and Detection in Parallel Computer Systems Using Computational Accelerators

Keun Soo Yim

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Tags: Computer science, CUDA, Fault tolerance, Heterogeneous systems, MPI, nVidia, Tesla S1070, Thesis

May 30, 2013 by hgpu

Experimental Fault-Tolerant Synchronization for Reliable Computation on Graphics Processors

Tor-Magne Stien Hagen, Phuong Hoai Ha, Otto J. Anshus

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Tags: Computer science, CUDA, Fault tolerance, nVidia, nVidia GeForce 8800 GTS

March 26, 2013 by hgpu

Design and Modeling of a Non-blocking Checkpointing System

Kento Sato, Kathryn Mohror, Adam Moody, Naoya Maruyama, Satoshi Matsuoka

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Tags: Computer science, Fault tolerance, GPU cluster, nVidia, Tesla M2050

September 11, 2012 by hgpu

GPU Acceleration of Genetic Algorithms for Subset Selection for Partial Fault Tolerance

D. Foster

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Tags: Computer science, CUDA, Fault tolerance, Genetic programming, nVidia, nVidia GeForce GTX 480

September 1, 2012 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 Techniques for Modeling and Improving Reliability of Computing Systems

Error Resilience Evaluation on GPGPU Applications

Implementation and Experimental Evaluation of a CUDA Core under Single Event Effects

Software-Based Hardening Strategies for Neutron Sensitive FFT Algorithms on GPUs

GPGPUs: How to Combine High Computational Power with High Reliability

Evaluating the Viability of Application-Driven Cooperative CPU/GPU Fault Detection

Experimental Evaluation of Thread Distribution Effects on Multiple Output Errors in GPUs

GPUburn: A System to Test and Mitigate GPU Hardware Failures

From Experiment to Design – Fault Characterization and Detection in Parallel Computer Systems Using Computational Accelerators

Experimental Fault-Tolerant Synchronization for Reliable Computation on Graphics Processors

Design and Modeling of a Non-blocking Checkpointing System

GPU Acceleration of Genetic Algorithms for Subset Selection for Partial Fault Tolerance

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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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