Search Results for author: Shamik Kundu

Found 2 papers, 0 papers with code

FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices

no code implementations14 Mar 2024 Arnab Raha, Deepak A. Mathaikutty, Soumendu K. Ghosh, Shamik Kundu

This paper introduces FlexNN, a Flexible Neural Network accelerator, which adopts agile design principles to enable versatile dataflows, enhancing energy efficiency.

High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators

no code implementations5 Jun 2020 Shamik Kundu, Ahmet Soyyiğit, Khaza Anuarul Hoque, Kanad Basu

The advent of data-driven real-time applications requires the implementation of Deep Neural Networks (DNNs) on Machine Learning accelerators.

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