Proceedings of the ACM/SPEC International Conference on Performance Engineering 2021
DOI: 10.1145/3427921.3450259
|View full text |Cite
|
Sign up to set email alerts
|

The Granularity Gap Problem: A Hurdle for Applying Approximate Memory to Complex Data Layout

Abstract: The main memory access latency has not much improved for more than two decades. Approximate memory is a technique to reduce the DRAM access latency in return of losing data integrity, and it is beneficial for applications that are robust to noisy data. To obtain reasonable outputs from applications on approximate memory, it is crucial to protect critical data while accelerating accesses to non-critical data. A fundamental limitation of approximate memory is that the approximation granularity, the minimum size … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 20 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?