Understanding Timing Error Characteristics from Overclocked Systolic Multiply–Accumulate Arrays in FPGAs
Artificial Intelligence (AI) hardware accelerators have seen tremendous developments in recent years due to the rapid growth of AI in multiple fields. Many such accelerators comprise a Systolic Multiply–Accumulate Array (SMA) as its computational brain. In this paper, we investigate the faulty outpu...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
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Series: | Journal of Low Power Electronics and Applications |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9268/14/1/4 |