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Srimat T. Chakradhar

Srimat T. Chakradhar

D-Index & Metrics

Computer Science

D-Index
53
Citations
10806
World Ranking
4841
National Ranking
2255

Electronics and Electrical Engineering

D-Index
44
Citations
8791
World Ranking
3701
National Ranking
1342

Overview

Srimat T. Chakradhar is affiliated with NEC in the United States and conducts research primarily in the field of Computer Science. Their work spans several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, and Signal Processing.

Their research topics cover diverse areas, such as IoT and Edge/Fog Computing, Image and Video Quality Assessment, Software System Performance and Reliability, Video Surveillance and Tracking Methods, Cloud Computing and Resource Management, Advanced Image Processing Techniques, and Anomaly Detection Techniques and Applications.

Srimat T. Chakradhar has authored multiple papers, with recent publications including:

  • LeanContext: Cost-efficient domain-specific question answering using LLMs (2024), published in Natural Language Processing Journal
  • StreetAware: A High-Resolution Synchronized Multimodal Urban Scene Dataset (2023), published in Sensors
  • ROMA: Resource Orchestration for Microservices-based 5G Applications (2022), presented at NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium
  • DataXe: A System for Application Self-optimization in Serverless Edge Computing Environments (2022), presented at 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
  • Efficient Compression Method for Roadside LiDAR Data (2022), published in Proceedings of the 31st ACM International Conference on Information & Knowledge Management

The most frequent co-authors with whom Srimat T. Chakradhar has collaborated include Murugan Sankaradas, Kunal Rao, Giuseppe Coviello, Biplob Debnath, and Oliver Po.

The venues where the scientist has frequently published are:

  • arXiv (Cornell University) with 22 publications
  • ACM Transactions on Embedded Computing Systems with 2 publications
  • SSRN Electronic Journal with 2 publications
  • Natural Language Processing Journal with 1 publication
  • Sensors with 1 publication

Best Publications

  • Analysis and characterization of inherent application resilience for approximate computing

    Vinay K. Chippa;Srimat T. Chakradhar;Kaushik Roy;Anand Raghunathan

  • Massively parallel processing core with plural chains of processing elements and respective smart memory storing select data received from each chain

    Srihari Cadambi;Abhinandan Majumdar;Michela Becchi;Srimat Chakradhar

  • A dynamically configurable coprocessor for convolutional neural networks

    Srimat Chakradhar;Murugan Sankaradas;Venkata Jakkula;Srihari Cadambi

  • An exact algorithm for selecting partial scan flip-flops

    Srimat T. Chakradhar;Arun Balakrishnan;Vishwani D. Agrawal

  • Tarazu: optimizing MapReduce on heterogeneous clusters

    Faraz Ahmad;Srimat T. Chakradhar;Anand Raghunathan;T. N. Vijaykumar

  • Quality programmable vector processors for approximate computing

    Swagath Venkataramani;Vinay K. Chippa;Srimat T. Chakradhar;Kaushik Roy

  • Tamper resistance mechanisms for secure embedded systems

    S. Ravi;A. Raghunathan;S. Chakradhar

  • Approximate computing and the quest for computing efficiency

    Swagath Venkataramani;Srimat T. Chakradhar;Kaushik Roy;Anand Raghunathan

  • A Massively Parallel Coprocessor for Convolutional Neural Networks

    Murugan Sankaradas;Venkata Jakkula;Srihari Cadambi;Srimat Chakradhar

  • On-chip networks: a scalable, communication-centric embedded system design paradigm

    J. Henkel;W. Wolf;S. Chakradhar

  • Scalable effort hardware design: exploiting algorithmic resilience for energy efficiency

    Vinay K. Chippa;Debabrata Mohapatra;Anand Raghunathan;Kaushik Roy

  • A transitive closure algorithm for test generation

    S.T. Chakradhar;V.D. Agrawal;S.G. Rothweiler

  • Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework

    Vignesh T. Ravi;Michela Becchi;Gagan Agrawal;Srimat Chakradhar

  • ShuffleWatcher: Shuffle-aware scheduling in multi-tenant MapReduce clusters

    Faraz Ahmad;Srimat T. Chakradhar;Anand Raghunathan;T. N. Vijaykumar

  • Best-effort computing: re-thinking parallel software and hardware

    Srimat T. Chakradhar;Anand Raghunathan

  • A design methodology for application-specific networks-on-chip

    Jiang Xu;Wayne Wolf;Joerg Henkel;Srimat Chakradhar

  • Combinational ATPG theorems for identifying untestable faults in sequential circuits

    V.D. Agrawal;S.T. Chakradhar

  • A programmable parallel accelerator for learning and classification

    Srihari Cadambi;Abhinandan Majumdar;Michela Becchi;Srimat Chakradhar

  • Best-effort parallel execution framework for Recognition and mining applications

    Jiayuan Meng;Srimat Chakradhar;Anand Raghunathan

  • Hybrid delay scan: a low hardware overhead scan-based delay test technique for high fault coverage and compact test sets

    Seongmoon Wang;Xiao Liu;Srimat T. Chakradhar

  • A Massively Parallel FPGA-Based Coprocessor for Support Vector Machines

    Srihari Cadambi;Igor Durdanovic;Venkata Jakkula;Murugan Sankaradass

Frequent Co-Authors

Anand Raghunathan
Anand Raghunathan Purdue University West Lafayette
Vishwani D. Agrawal
Vishwani D. Agrawal Auburn University
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Hans Peter Graf
Hans Peter Graf NEC (United States)
Jorg Henkel
Jorg Henkel Karlsruhe Institute of Technology
Kwang-Ting Cheng
Kwang-Ting Cheng Hong Kong University of Science and Technology
Niraj K. Jha
Niraj K. Jha Princeton University
Wayne Wolf
Wayne Wolf University of Nebraska–Lincoln
Jiang Xu
Jiang Xu Hong Kong University of Science and Technology
Swagath Venkataramani
Swagath Venkataramani IBM (United States)

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