6 citations · 6 across the 4 of their papers we have counts for
4 papers
Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units
Mohammed E. Elbtity, Brendan Reidy, Md Hasibul Amin +1
Tensor processing units (TPUs), specialized hardware accelerators for machine learning tasks, have shown significant performance improvements when executing convolutional layers in…
IMAC-Sim: A Circuit-level Simulator For In-Memory Analog Computing Architectures
Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand
With the increased attention to memristive-based in-memory analog computing (IMAC) architectures as an alternative for energy-hungry computer systems for machine learning applicati…
Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures
Md Hasibul Amin, Mohammed Elbtity, Ramtin Zand
Conventional in-memory computing (IMC) architectures consist of analog memristive crossbars to accelerate matrix-vector multiplication (MVM), and digital functional units to realiz…
A Python Framework for SPICE Circuit Simulation of In-Memory Analog Computing Circuits
Md Hasibul Amin, Mohammed Elbtity, Ramtin Zand
With the increased attention to memristive-based in-memory analog computing (IMAC) architectures as an alternative for energy-hungry computer systems for data-intensive application…