State-of-the-art GPU chips are designed to deliver extreme throughput for graphics as well as for data-parallel general purpose computing workloads (GPGPU computing). Unlike graphics computing, GPGPU computing requires highly reliable operation. The performance-oriented design of GPUs requires to jointly evaluate the vulnerability of GPU workloads to soft-errors with the performance of GPU chips. We briefly present a summary of the findings of an extensive study aiming at the evaluation of the reliability of four GPU architectures and corresponding chips, orrelating them with the performance of the workloads.
Microarchitecture level reliability comparison of modern GPU designs: First findings / Vallero, Alessandro; DI CARLO, Stefano; Tselonis, Sotiris; Gizopoulos, Dimitris. - STAMPA. - (2017), pp. 129-130. (Intervento presentato al convegno 2017 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2017) tenutosi a USA nel 24-25 April 2017) [10.1109/ISPASS.2017.7975280].
Microarchitecture level reliability comparison of modern GPU designs: First findings
VALLERO, ALESSANDRO;DI CARLO, STEFANO;
2017
Abstract
State-of-the-art GPU chips are designed to deliver extreme throughput for graphics as well as for data-parallel general purpose computing workloads (GPGPU computing). Unlike graphics computing, GPGPU computing requires highly reliable operation. The performance-oriented design of GPUs requires to jointly evaluate the vulnerability of GPU workloads to soft-errors with the performance of GPU chips. We briefly present a summary of the findings of an extensive study aiming at the evaluation of the reliability of four GPU architectures and corresponding chips, orrelating them with the performance of the workloads.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2678586
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