Soft Error Reliability Using Virtual Platforms

Soft Error Reliability Using Virtual Platforms
Author :
Publisher : Springer Nature
Total Pages : 142
Release :
ISBN-10 : 9783030557041
ISBN-13 : 3030557049
Rating : 4/5 (049 Downloads)

Book Synopsis Soft Error Reliability Using Virtual Platforms by : Felipe Rocha da Rosa

Download or read book Soft Error Reliability Using Virtual Platforms written by Felipe Rocha da Rosa and published by Springer Nature. This book was released on 2020-11-02 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 investigate new and more efficient fault injection and mitigation techniques. Coverage also includes the use of machine learning techniques (e.g., linear regression) to speed-up the soft error evaluation process by pinpointing parameters (e.g., architectural) with the most substantial impact on the software stack dependability. This book provides valuable information and insight through more than 3 million individual scenarios and 2 million simulation-hours. Further, this book explores machine learning techniques usage to navigate large fault injection datasets.


Soft Error Reliability Using Virtual Platforms Related Books

Soft Error Reliability Using Virtual Platforms
Language: en
Pages: 142
Authors: Felipe Rocha da Rosa
Categories: Technology & Engineering
Type: BOOK - Published: 2020-11-02 - Publisher: Springer Nature

DOWNLOAD EBOOK

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 syste
Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices
Language: en
Pages: 143
Authors: Geancarlo Abich
Categories: Technology & Engineering
Type: BOOK - Published: 2023-01-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book describes an extensive and consistent soft error assessment of convolutional neural network (CNN) models from different domains through more than 14.8
Software and System Development using Virtual Platforms
Language: en
Pages: 366
Authors: Daniel Aarno
Categories: Computers
Type: BOOK - Published: 2014-09-17 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

Virtual platforms are finding widespread use in both pre- and post-silicon computer software and system development. They reduce time to market, improve system
VLSI-SoC: New Technology Enabler
Language: en
Pages: 355
Authors: Carolina Metzler
Categories: Computers
Type: BOOK - Published: 2020-07-22 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book contains extended and revised versions of the best papers presented at the 27th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integra
Approximate Computing and its Impact on Accuracy, Reliability and Fault-Tolerance
Language: en
Pages: 137
Authors: Gennaro S. Rodrigues
Categories: Technology & Engineering
Type: BOOK - Published: 2022-11-16 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book introduces the concept of approximate computing for software and hardware designs and its impact on the reliability of embedded systems. It presents a