G-SEPM
Hengshan Yue, Xiaohui Wei, Guangli Li, Jianpeng Zhao, Nan Jiang, Jingweijia Tan
Abstract
As GPUs become ubiquitous in large-scale general purpose HPC systems (GPGPUs), ensuring the reliable execution of such systems in the presence of soft errors is increasingly essential. To provide insights into how resilient GPU programs are toward soft errors, researchers typically rely on random Fault Injection (FI) to evaluate the tolerance of programs. However, it is expensive to obtain a statistically significant resilience profile and not suitable to identify all the error-critical fault sites of GPU programs.
Topics & Concepts
Computer scienceResilience (materials science)Fault toleranceFault injectionScale (ratio)Soft errorDistributed computingParallel computingSoftware engineeringProgramming languageEngineeringSoftwarePhysicsQuantum mechanicsElectronic engineeringThermodynamicsRadiation Effects in ElectronicsDistributed systems and fault toleranceSoftware Reliability and Analysis Research