Energy-Efficient Time-Based Adaptive Encoding for Off-Chip Communication
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 176354168
- Type
- D - Journal article
- DOI
-
10.1109/TVLSI.2020.3018062
- Title of journal
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems
- Article number
- 9180343
- First page
- 2551
- Volume
- 28
- Issue
- 12
- ISSN
- 1063-8210
- Open access status
- Exception within 3 months of publication
- Month of publication
- August
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
A - Computer Science
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "The paper presents novel efficient interfaces among chiplets to meet the performance demands for exascale computing. Time domain circuits are potentially superior in solving critical problems such as determining the k-nearest neighbours problem with applications in ML.
The results in this paper have led to prototyping the proposed method in silicon as part of the EU EuroExa project."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
