Algorithm level error detection in low voltage systolic array |
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Author: | Safarpour, Mehdi1; Inanlou, Reza2; Silvén, Olli1 |
Organizations: |
1Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland 2School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 2.8 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2021080341988 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2022
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Publish Date: | 2021-08-03 |
Description: |
AbstractIn this brief an approach is proposed to achieve energy savings from reduced voltage operation. The solution detects timing-errors by integrating Algorithm Based Fault Tolerance (ABFT) into a digital architecture. The approach has been studied with a systolic array matrix multiplier operating at reduced voltages, detecting errors on-the-fly to avoid energy demanding memory round-trips. The analysis of the solution has been done using analog-digital co-simulation to extract the transient behavior under different voltages and clock frequencies. HSPICE simulations using 90nm CMOS transistor models, and experiments by reducing operation voltage of an FPGA device were carried out. HSPICE simulations, showed possibility of 10x increase in energy-efficiency by approaching near-threshold region. see all
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Series: |
IEEE transactions on circuits and systems. II, Express briefs |
ISSN: | 1549-7747 |
ISSN-E: | 1558-3791 |
ISSN-L: | 1549-7747 |
Volume: | 69 |
Issue: | 2 |
Pages: | 569 - 573 |
DOI: | 10.1109/TCSII.2021.3094923 |
OADOI: | https://oadoi.org/10.1109/TCSII.2021.3094923 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
113 Computer and information sciences 213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This work was supported by 6G Flagship research programme under Academy of Finland Grant 318927. |
Academy of Finland Grant Number: |
318927 |
Detailed Information: |
318927 (Academy of Finland Funding decision) |
Copyright information: |
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