Many emerging systems concurrently execute multiple applications that use deep neural network (DNN) as a key portion of the computation. To speedup the execution of such …
A Hemani, SMAH Jafri, S Masoumian - Proceedings of the Eleventh …, 2017 - dl.acm.org
In this paper, we present a novel synchoros VLSI design scheme that discretizes space uniformly. Synchoros derives from the Greek word chóros for space. We propose raising the …
Abstract The Artificial Neural Networks (ANNs), like CNN/DNN and LSTM, are not biologically plausible. Despite their initial success, they cannot attain the cognitive …
It is well known that ASICs have orders of magnitude higher power efficiency than general propose processors. However, due to the high engineering and manufacturing cost only …
Artificial Neural Networks have been applied to many traditional machine learning applications in image and speech processing. More recently, ANNs have caught attention of …
The design of specialized accelerators is essential to the success of many modern Systems- on-Chip. Electronic system-level design methodologies and high-level synthesis tools are …
Computers have become essential to everyday life as much as electricity, communications and transport. That is evident from the amount of electricity we spend to power our …
The dark silicon constraint will restrict the VLSI designers to utilize an increasingly smaller percentage of transistors as we progress deeper into nano-scale regime because of the …
JA González, D Stathis, A Hemani - Proceedings of the 15th IEEE/ACM …, 2021 - dl.acm.org
Synchoros VLSI design style has been proposed as an alternative to the standard cell- based design style; the word synchoros is derived from the Greek word choros for space …