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20192026
most citedMixed-Precision Neural Networks: A Survey

15 citations · 35 across the 27 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.LG2022★ 15 cited

Mixed-Precision Neural Networks: A Survey

Mariam Rakka, Mohammed E. Fouda, Pramod Khargonekar +1

Mixed-precision Deep Neural Networks achieve the energy efficiency and throughput needed for hardware deployment, particularly when the resources are limited, without sacrificing a…

cs.AR2022★ 1 cited

DNA Pattern Matching Acceleration with Analog Resistive CAM

Jinane Bazzi, Jana Sweidan, Mohammed E. Fouda +2

DNA pattern matching is essential for many widely used bioinformatics applications. Disease diagnosis is one of these applications, since analyzing changes in DNA sequences can inc…

cs.LG2022★ 1 cited

BackLink: Supervised Local Training with Backward Links

Wenzhe Guo, Mohammed E Fouda, Ahmed M. Eltawil +1

Empowered by the backpropagation (BP) algorithm, deep neural networks have dominated the race in solving various cognitive tasks. The restricted training pattern in the standard BP…

cs.AR2022★ 2 cited

DT2CAM: A Decision Tree to Content Addressable Memory Framework

Mariam Rakka, Mohammed E. Fouda, Rouwaida Kanj +1

Decision trees are considered one of the most powerful tools for data classification. Accelerating the decision tree search is crucial for on-the-edge applications that have limite…

cs.ET2022

In-memory Associative Processors: Tutorial, Potential, and Challenges

Mohammed E. Fouda, Hasan Erdem Yantir, Ahmed M. Eltawil +1

In-memory computing is an emerging computing paradigm that overcomes the limitations of exiting Von-Neumann computing architectures such as the memory-wall bottleneck. In such para…

cs.AR2022★ 5 cited

Efficient Analog CAM Design

Jinane Bazzi, Jana Sweidan, Mohammed E. Fouda +2

Content Addressable Memories (CAMs) are considered a key-enabler for in-memory computing (IMC). IMC shows order of magnitude improvement in energy efficiency and throughput compare…