Title
Methodology for Application-Dependent Degradation Analysis of Memory Timing
Abstract
Memory designs typically contain design margins to compensate for aging. As aging impact becomes more severe with technology scaling, it is crucial to accurately predict such impact to prevent overestimation or underestimation of the margins. This paper proposes a methodology to accurately and efficiently analyze the impact of aging on the memory's digital logic (e.g., timing circuit and address decoder) while considering realistic workloads extracted from applications. To demonstrate the superiority of the methodology, we analyzed the degradation of the L1 data and instruction caches for an ARM v8-a processor using both our methodology as well as the state-of-the-art methods. The results show that the existing methods may significantly over-or underestimate the impact (e.g., the decoder margin up to 221% and the access time up to 20%) as compared with the proposed scheme. In addition, the results show that in general the instruction cache has the highest degradation. For example, its access time degrades up to 9% and its decoder margin up to 44%.
Year
DOI
Venue
2019
10.23919/DATE.2019.8715143
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Keywords
Field
DocType
Memory,Aging,Timing,Address Decoder
Computer science,Parallel computing,Degradation (geology)
Conference
ISSN
ISBN
Citations 
1530-1591
978-1-7281-0331-0
1
PageRank 
References 
Authors
0.37
9
7
Name
Order
Citations
PageRank
Daniel Kraak1133.53
Innocent Agbo2204.09
Mottaqiallah Taouil322433.40
Said Hamdioui4887118.69
Pieter Weckx55216.96
Stefan Cosemans610415.93
Francky Catthoor73932423.30