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Deep-PowerX: A Deep Learning-Based Framework for Low-Power Approximate Logic Synthesis
This paper aims at integrating three powerful techniques namely Deep Lea...
07/03/2020 ∙ by Ghasem Pasandi, et al. ∙
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Hybrid Cell Assignment and Sizing for Power, Area, Delay Product Optimization of SRAM Arrays
Memory accounts for a considerable portion of the total power budget and...
02/01/2019 ∙ by Ghasem Pasandi, et al. ∙
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Approximate Logic Synthesis: A Reinforcement Learning-Based Technology Mapping Approach
Approximate Logic Synthesis (ALS) is the process of synthesizing and map...
02/01/2019 ∙ by Ghasem Pasandi, et al. ∙
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A 256kb 9T Near-Threshold SRAM With 1k Cells per Bit-Line and Enhanced Write and Read Operations
In this paper, we present a new 9T SRAM cell that has good write-ability...
12/25/2018 ∙ by Ghasem Pasandi, et al. ∙
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NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference
Deep neural networks have been successfully deployed in a wide variety o...
07/23/2018 ∙ by Mahdi Nazemi, et al. ∙
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