Titlebook: Soft Error Reliability Using Virtual Platforms; Early Evaluation of Felipe Rocha da Rosa,Luciano Ost,Ricardo Reis Book 2020 The Editor(s)

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Machine Learning Applied to Soft Error Assessment in Multicore Systems,ensive fault injection campaigns performed in Chaps. . and .. This chapter describes the promoted cross-layer investigation tool which performs multivariable and statistical analyses. First, we introduce some basic machine learning concepts and later dessbate the state-of-the-art reliability using m

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Background on Soft Errors,ence signal. This signal needs to propagate through multiple hardware and software abstraction layers before being detected as an error. This chapter also briefly explores how to measure the soft error considering several metrics.

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Performance and Accuracy Assessment of Fault Injection Frameworks Based on VPs,00 fault injections which require up to 2 million simulation hours. Considering a single-thread sequential computer, this workload requires approximately more than 150 years. Further, this chapter describes the 45 adopted applications from the Rodinia benchmarks and the NAS Parallel Benchmark.

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Fault Injection Framework Using Virtual Platforms, the adopted fault injection flow in detail. This proposed flow employs the gem5 (cycle-accurate) and OVPsim (instruction-accurate) simulators. Finally, it provides extra tooling to help software developers to explore in profound the application effects under soft errors.

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is of state-of-the-art processor models.Includes analysis an.This book describes the benefits and drawbacks inherent in the use of virtual platforms (VPs) to perform fast and early soft error assessment of multicore systems. The authors show that VPs provide engineers with appropriate means to inves

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Machine Learning Applied to Soft Error Assessment in Multicore Systems, mitigates this issue. Moreover, the proposed tool which requires multiple machine learning techniques described in detail. Finally, the chapter shows the results related to multiple investigations using this proposed tool and analysis its applicability.

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Felipe Rocha da Rosa,Luciano Ost,Ricardo Reisaduate and graduate students and as a valuable reference for researchers in mathematics, physics, and engineering..Other books recently published by the authors include: .Mathematical Analysis: Functions of One978-0-8176-4507-6978-0-8176-4612-7

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