Title | (Invited Paper) Soft Error Resiliency Characterization on IBM BlueGene/Q Processor |
Author | *Chen-Yong Cher, K. Paul Muller, Ruud A. Haring, David L. Satterfield, Thomas E. Musta, Thomas M. Gooding, Kristan D. Davis, Marc B. Dombrowa, Gerard V. Kopcsay, Robert M. Senger, Yutaka Sugawara, Krishnan Sugavanam (IBM T. J. Watson Research Center, U.S.A.) |
Page | pp. 385 - 387 |
Keyword | soft error rate, fault injection, high-performance computing, chip irradiation |
Abstract | Fault injection through accelerated irradiation is an effective way to evaluate the overall soft error resiliency of microprocessors. In this work, we report on irradiation experiments on a Blue Gene/Q (BG/Q) compute processor chip running selected applications. Blue Gene/Q is the third generation of IBM’s massively parallel, energy efficient Blue Gene series of supercomputers. In the experiments, we found 26 code fails that are relevant for the calculation of the mean-time-between-failures (MTBF) for a 20 PetaFLOP, 96 rack system running a comparable workload mix. The expected MTBF for check-stops due to cosmic radiation and alpha particles from chip packaging materials is calculated to be 51 days for sea-level at New York City running the application mix studied. If the most vulnerable application is run exclusively, the projected MTBF is 35 days. These are outstanding results for a machine of this magnitude. The beaming experiment and projected MTBF validate the necessity to include autonomous hardware detection and recovery at the cost of design effort, silicon area and power. |
Title | (Invited Paper) Rethinking Error Injection for Effective Resilience |
Author | Shahrzad Mirkhani (University of Texas, U.S.A.), Hyungmin Cho, Subhasish Mitra (Stanford University, U.S.A.), *Jacob Abraham (University of Texas, U.S.A.) |
Page | pp. 390 - 393 |
Keyword | transient fault, soft error, error injection |
Abstract | Soft errors, caused by radiation, have become a
major challenge in today’s computer systems and networking
equipment, making it imperative that systems be designed to be
resilient to errors. Error injection is a powerful approach to evaluate system resilience, and current practice is to inject errors in architectural registers of processors, program variables of applications, or storage elements in the hardware model. This paper,
using answers to frequently asked questions, discusses the need
for rethinking conventional approaches to error injection, showing
data from recent research and our simulation results. Approaches
to improving current error injections are also suggested. |
Slides |