Rajit Manohar

Rajit Manohar

Yale University

H-index: 38

North America-United States

About Rajit Manohar

Rajit Manohar, With an exceptional h-index of 38 and a recent h-index of 20 (since 2020), a distinguished researcher at Yale University, specializes in the field of asynchronous VLSI, asynchronous circuits, asynchronous design.

His recent articles reflect a diverse array of research interests and contributions to the field:

Timed signalling processes

Acceleration of communications

Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design

Opportunistic mutual exclusion

HALO: a hardware-software co-designed processor for brain-computer interfaces

NSF Integrated Circuit Research, Education and Workforce Development Workshop Final Report

SCALO: An Accelerator-Rich Distributed System for Scalable Brain-Computer Interfacing

Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking

Rajit Manohar Information

University

Position

___

Citations(all)

11558

Citations(since 2020)

5550

Cited By

8360

hIndex(all)

38

hIndex(since 2020)

20

i10Index(all)

113

i10Index(since 2020)

45

Email

University Profile Page

Google Scholar

Rajit Manohar Skills & Research Interests

asynchronous VLSI

asynchronous circuits

asynchronous design

Top articles of Rajit Manohar

Title

Journal

Author(s)

Publication Date

Timed signalling processes

Rajit Manohar

Yoram Moses

2023/7/16

Acceleration of communications

2023/5/25

Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design

IEEE Transactions on Circuits and Systems II: Express Briefs

Xiaoxuan Yang

Zhangyang Wang

X Sharon Hu

Chris H Kim

Shimeng Yu

...

2023/11/23

Opportunistic mutual exclusion

Karthi Srinivasan

Yoram Moses

Rajit Manohar

2023/7/16

HALO: a hardware-software co-designed processor for brain-computer interfaces

Ieee micro

Ioannis Karageorgos

Karthik Sriram

Xiayuan Wen

Ján Veselý

Nick Lindsay

...

2023/5/8

NSF Integrated Circuit Research, Education and Workforce Development Workshop Final Report

Matthew Guthaus

Christopher Batten

Erik Brunvand

Pierre-Emannuel Gaillardon

David Harris

...

2022/9

SCALO: An Accelerator-Rich Distributed System for Scalable Brain-Computer Interfacing

Karthik Sriram

Raghavendra Pradyumna Pothukuchi

Michał Gerasimiuk

Muhammed Ugur

Oliver Ye

...

2023/6/17

Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking

arXiv preprint arXiv:2304.04640

Jason Yik

Soikat Hasan Ahmed

Zergham Ahmed

Brian Anderson

Andreas G Andreou

...

2023/4/10

Toward carbon-aware networking

ACM SIGENERGY Energy Informatics Review

Noa Zilberman

Eve M Schooler

Uri Cummings

Rajit Manohar

Dawn Nafus

...

2023/10/25

Object linearization for communications

2023/6/8

Neuromorphic event-driven neural computing architecture in a scalable neural network

2023/2/14

An Efficient Data Structure for Sparse Bit-Vectors with Applications in Neuromorphic Computing

Prafull Purohit

Johannes Leugering

Rajit Manohar

2023/9

Verification-Driven Design for Asynchronous VLSI

Xiang Wu

Rajit Manohar

2023/7/16

A Multi-Site Accelerator-Rich Processing Fabric for Scalable Brain-Computer Interfacing

arXiv preprint arXiv:2301.03103

Karthik Sriram

Raghavendra Pradyumna Pothukuchi

Michał Gerasimiuk

Oliver Ye

Muhammed Ugur

...

2023/1/8

FPIM: Field-Programmable Ising Machines for Solving SAT

arXiv preprint arXiv:2306.01569

Thomas Jagielski

Rajit Manohar

Jaijeet Roychowdhury

2023/6/2

SPRoute 2.0: A detailed-routability-driven deterministic parallel global router with soft capacity

Jiayuan He

Udit Agarwal

Yihang Yang

Rajit Manohar

Keshav Pingali

2022/1/17

Field-programmable encoding for address-event representation

Frontiers in Neuroscience

Prafull Purohit

Rajit Manohar

2022

A Perspective on Carbon-aware Networking

Eve M Schooler

Rick Taylor

Noa Zilberman

Robert Soulé

Dawn Nafus

...

2022/10/31

HALO: A Flexible and Low Power Processing Fabric for Brain-Computer Interfaces

Abhishek Bhattacharjee

Rajit Manohar

2022/8/1

A simple, fast, and GPU-friendly Steiner-tree heuristic

Alex Fallin

Aarti Kothari

Jiayuan He

Christopher Yanez

Keshav Pingali

...

2022/5/30

See List of Professors in Rajit Manohar University(Yale University)

Co-Authors

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