high performance computing on graphics processing units: hgpu.org

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Fault Injection techniques for GPU Reliability Evaluation

Luigi Galasso

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Tags: Computer science, CUDA, Fault simulation, nVidia, Thesis

May 29, 2022 by hgpu

Reducing the Code Degree Of Parallelism to Increase GPUs Reliability

P. Rech, L. Carro

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

July 3, 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

A Software-Based Self Test of CUDA Fermi GPUs

Stefano Di Carlo, Giulio Gambardella, Marco Indaco, Ippazio Martella, Paolo Prinetto, Daniele Rolfo, Pascal Trotta

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Tags: Computer science, CUDA, Fault simulation, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 580

July 17, 2013 by hgpu

Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units

Min Li

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, Fault simulation, nVidia, nVidia GeForce GTX 285, Thesis

November 25, 2012 by hgpu

Improving GPU Robustness by Making Use of Faulty Parts

Artem Durytskyy, Mohamed Zahran, Ramesh Karri

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Tags: Computer science, Fault simulation, Hardware Architecture, nVidia, Performance

December 16, 2011 by hgpu

Automatic abstraction and fault tolerance in cortical microachitectures

Atif Hashmi, Hugues Berry, Olivier Temam, Mikko Lipasti

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Tags: Algorithms, Computer science, CUDA, Fault simulation, nVidia, nVidia GeForce 9800 GT

September 20, 2011 by hgpu

Fault table generation using Graphics Processing Units

K. Gulati, S.P. Khatri

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Tags: Computer science, CUDA, Electronic design automation, Fault simulation, nVidia, nVidia GeForce GTX 280

September 5, 2011 by hgpu

nGFSIM: A GPU-based fault simulator for 1-to-n detection and its applications

Huawei Li, Dawen Xu, Yinhe Han, Kwang-Ting Cheng, Xiaowei Li

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Tags: Computer science, CUDA, Fault simulation, nVidia, nVidia GeForce 9800 GTX

August 17, 2011 by hgpu

High-Performance Diagnostic Fault Simulation on GPUs

Min Li, Michael S. Hsiao

Tags: Computer science, Electronic design automation, Fault simulation

August 8, 2011 by hgpu

GPU-accelerated fault simulation and its new applications

Huawei Li, Dawen Xu, Kwang-Ting Cheng

Tags: Computer science, Electronic design automation, Fault simulation

June 23, 2011 by hgpu

Coarse grain computation-communication overlap for efficient application-level checkpointing for GPUs

L.D. Solano-Quinde, B.M. Bode, A.K. Somani

Tags: Computer science, Fault simulation

June 17, 2011 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Fault Injection techniques for GPU Reliability Evaluation

Reducing the Code Degree Of Parallelism to Increase GPUs Reliability

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

A Software-Based Self Test of CUDA Fermi GPUs

Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units

Improving GPU Robustness by Making Use of Faulty Parts

Automatic abstraction and fault tolerance in cortical microachitectures

Fault table generation using Graphics Processing Units

nGFSIM: A GPU-based fault simulator for 1-to-n detection and its applications

High-Performance Diagnostic Fault Simulation on GPUs

GPU-accelerated fault simulation and its new applications

Coarse grain computation-communication overlap for efficient application-level checkpointing for GPUs

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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