Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Nikhil Rangarajan"'
Autor:
Likhitha Mankali, Nikhil Rangarajan, Swetaki Chatterjee, Shubham Kumar, Yogesh Singh Chauhan, Ozgur Sinanoglu, Hussam Amrouch
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 8, Iss 2, Pp 102-110 (2022)
With the emergence of the Internet of Things (IoT), deep neural networks (DNNs) are widely used in different domains, such as computer vision, healthcare, social media, and defense. The hardware-level architecture of a DNN can be built using an in-me
Externí odkaz:
https://doaj.org/article/1842bd46e8eb4700871513b8811933ef
Publikováno v:
IEEE Access, Vol 8, Pp 76130-76142 (2020)
The storage industry is moving toward emerging non-volatile memories (NVMs), including the spin-transfer torque magnetoresistive random-access memory (STT-MRAM) and the phase-change memory (PCM), owing to their high density and low-power operation. I
Externí odkaz:
https://doaj.org/article/a0238f7219634f0cbda21a662b4d8655
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:4134-4144
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 10:1443-1455
Publikováno v:
IEEE Embedded Systems Letters. 14:103-106
Autor:
Swetaki Chatterjee, Nikhil Rangarajan, Satwik Patnaik, Dinesh Rajasekharan, Ozgur Sinanoglu, Yogesh Singh Chauhan
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. :1-6
Autor:
Nikhil Rangarajan, Satwik Patnaik, Mohammed Nabeel, Mohammed Ashraf, Shubham Rai, Gopal Raut, Heba Abunahla, Baker Mohammad, Santosh Kumar Vishvakarma, Akash Kumar, Johann Knechtel, Ozgur Sinanoglu
Publikováno v:
2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).
Autor:
Dinesh Rajasekharan, Nikhil Rangarajan, Satwik Patnaik, Ozgur Sinanoglu, Yogesh Singh Chauhan
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
Deep neural networks (DNNs) form a critical infrastructure supporting various systems, spanning from the iPhone neural engine to imaging satellites and drones. The design of these neural cores is often proprietary or a military secret. Nevertheless,
Autor:
Jens Lienig, Susann Rothe, Matthias Thiele, Nikhil Rangarajan, Mohammed Ashraf, Mohammed Nabeel, Hussam Amrouch, Ozgur Sinanoglu, Johann Knechtel
Publikováno v:
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).
Publikováno v:
IEEE Design & Test. 36:22-30
Editor’s note: This article proposes a reconfigurable logic family comprised of spin-based devices that may be dynamically configured/reconfigured owing the versatility of the giant spin-Hall effect (GSHE) device. A GSHE device can be used to reali