Rebooting Computing

The Challenges for Test and Reliability

Conference paper (2019)

Authors

Alberto Bosio École Centrale de Lyon
Ian O'Connor École Centrale de Lyon
G. S. Rodrigues Universidade Federal do Rio Grande do Sul
F. K. Lima Universidade Federal do Rio Grande do Sul
Elena-Ioana Vatajelu Université Grenoble Alpes
G. di Natale Université Grenoble Alpes
L. Anghel Université Grenoble Alpes
Surya Nagarajan Student
M. Fieback Computer Engineering - EEMCS
S. Hamdioui Quantum & Computer Engineering
Research Group
Computer Engineering (EEMCS) (TU Delft)
More Info
expand_more

Published Date

2019

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Quantum & Computer Engineering

Research Group

Computer Engineering

Abstract

Today's computer architectures and semiconductor technologies are facing major challenges making them incapable to deliver the required features (such as computer efficiency) for emerging applications. Alternative architectures are being under investigation in order to continue deliver sustainable benefits for the foreseeable future society at affordable cost. These architectures are not only changing the traditional computing paradigm (e.g., in terms of programming models, compilers, circuit design), but also setting up new challenges and directions on the way these architectures should be tested to guarantee the required quality and reliability levels. This paper highlights the major open questions regarding test and reliability of three emerging computing paradigms being approximate computing, computation-in-memory and neuromorphic computing.

Files

Untitled.pdf
(pdf | 0.464 Mb)

Download not available