Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units

no code implementations • 18 Apr 2023 • Mohammed E. Elbtity, Brendan Reidy, Md Hasibul Amin, Ramtin Zand

To leverage the strengths of TPUs for convolutional layers and IMAC circuits for dense layers, we propose a unified learning algorithm that incorporates mixed-precision training techniques to mitigate potential accuracy drops when deploying models on the TPU-IMAC architecture.

Edge-computing

IMAC-Sim: A Circuit-level Simulator For In-Memory Analog Computing Architectures

1 code implementation • 18 Apr 2023 • Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand

Thus, in this paper, we develop IMAC-Sim, a circuit-level simulator for the design space exploration of IMAC architectures.