1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AR2023
PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation
Aman Arora, Jian Weng, Siyuan Ma +2
Bit-serial Processing-In-Memory (PIM) is an attractive paradigm for accelerator architectures, for parallel workloads such as Deep Learning (DL), because of its capability to achie…
cs.AR2023★ 1 cited
MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine
Endri Taka, Aman Arora, Kai-Chiang Wu +1
The increasing computational and memory requirements of Deep Learning (DL) workloads has led to outstanding innovations in hardware architectures. An archetype of such architecture…
cs.AR2023
ULEEN: A Novel Architecture for Ultra Low-Energy Edge Neural Networks
Zachary Susskind, Aman Arora, Igor D. S. Miranda +9
The deployment of AI models on low-power, real-time edge devices requires accelerators for which energy, latency, and area are all first-order concerns. There are many approaches t…