15 citations · 35 across the 27 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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…
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…
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…