Advanced Test Methods for SRAMs - Effective Solutions for Dynamic Fault Detection in Nanoscaled Technologies (Hardcover, 2010 ed.)

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Modern electronics depend on nanoscaled technologies that present new challenges in terms of testing and diagnostics. Memories are particularly prone to defects since they exploit the technology limits to get the highest density. This book is an invaluable guide to the testing and diagnostics of the latest generation of SRAM, one of the most widely applied types of memory. Classical methods for testing memory are designed to handle the so-called "static faults," but these test solutions are not sufficient for faults that are emerging in the latest Very Deep Sub-Micron (VDSM) technologies. These new fault models, referred to as "dynamic faults," are not covered by classical test solutions and require the dedicated test sequences presented in this book.


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Product Description

Modern electronics depend on nanoscaled technologies that present new challenges in terms of testing and diagnostics. Memories are particularly prone to defects since they exploit the technology limits to get the highest density. This book is an invaluable guide to the testing and diagnostics of the latest generation of SRAM, one of the most widely applied types of memory. Classical methods for testing memory are designed to handle the so-called "static faults," but these test solutions are not sufficient for faults that are emerging in the latest Very Deep Sub-Micron (VDSM) technologies. These new fault models, referred to as "dynamic faults," are not covered by classical test solutions and require the dedicated test sequences presented in this book.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Release date

October 2009

Availability

Expected to ship within 10 - 15 working days

First published

2010

Authors

, , , ,

Dimensions

235 x 155 x 12mm (L x W x T)

Format

Hardcover

Pages

171

Edition

2010 ed.

ISBN-13

978-1-4419-0937-4

Barcode

9781441909374

Categories

LSN

1-4419-0937-0



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