Learned Approximate Computing: Algorithm Hardware Co-Optimization
Published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems • Aug 20, 2024
NobleIDNI9P30W45R29S13
Authors:,,
Egor Glukhov
Tianmu Li
Vaibhav Gupta
Abstract
Approximate hardware trades acceptable error for improved performance and previous literature focuses on optimizing this tradeoff in the hardware. We show in this article that the application and the hardware can be co-optimized to achieve the best-quality-performance tradeoff. We propose LAC: learn...
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