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Computer Science

D-Index
40
Citations
8945
World Ranking
9153
National Ranking
3894

Overview

Karthikeyan Sankaralingam is affiliated with the University of Wisconsin-Madison in the United States. Their research focuses primarily within the field of Computer Science, with particular emphasis on several subfields including Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, and Information Systems.

The main topics of their research encompass Advanced Data Storage Technologies, Parallel Computing and Optimization Techniques, Embedded Systems Design Techniques, Cloud Computing and Resource Management, Distributed and Parallel Computing Systems, as well as specialized areas such as Nanofluid Flow and Heat Transfer, and Heat Transfer Mechanisms.

The scientist has contributed to multiple publications, some recent examples include:

  • Heat and mass transfer analysis on magnetohydrodynamics Powell-Eyring nanofluid flow with Hall current, thermal radiation, Brownian motion, and thermophoresis effects over a stretched surface (2024) published in ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik
  • Defying Moore: Envisioning the Economics of a Semiconductor Revolution through 12nm Specialization (2025) published in Communications of the ACM

Other papers found within related collaborations and venues include:

  • Violet: Architecturally Exposed Orchestration, Movement, and Placement for Generalized Deep Learning (2021) in arXiv (Cornell University)
  • IPU: Flexible Hardware Introspection Units (2023) in arXiv (Cornell University)
  • IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers (2024) in arXiv (Cornell University)

Karthikeyan Sankaralingam frequently collaborates with several researchers across their projects. Notable coauthors include Michael Davies, Ian McDougall, Harish Batchu, Michael A. Davies, and Zhanpeng Zeng.

Their work is often disseminated through prominent venues such as the arXiv repository, ZAMM - Journal of Applied Mathematics and Mechanics, Communications of the ACM, ACM Transactions on Architecture and Code Optimization, and Proceedings of the ACM on Management of Data.

Best Publications

  • Dark silicon and the end of multicore scaling

    Hadi Esmaeilzadeh;Emily Blem;Renee St. Amant;Karthikeyan Sankaralingam

  • Exploiting ILP, TLP, and DLP with the polymorphous trips architecture

    K. Sankaralingam;R. Nagarajan;Haiming Liu;Changkyu Kim

  • Dark Silicon and the End of Multicore Scaling

    H. Esmaeilzadeh;E. Blem;R. St. Amant;K. Sankaralingam

  • Dynamically Specialized Datapaths for energy efficient computing

    Venkatraman Govindaraju;Chen-Han Ho;Karthikeyan Sankaralingam

  • Relax: an architectural framework for software recovery of hardware faults

    Marc de Kruijf;Shuou Nomura;Karthikeyan Sankaralingam

  • DySER: Unifying Functionality and Parallelism Specialization for Energy-Efficient Computing

    V. Govindaraju;Chen-Han Ho;T. Nowatzki;J. Chhugani

  • A design space evaluation of grid processor architectures

    Ramadass Nagarajan;Karthikeyan Sankaralingam;Doug Burger;Stephen W. Keckler

  • Power struggles: Revisiting the RISC vs. CISC debate on contemporary ARM and x86 architectures

    E. Blem;J. Menon;K. Sankaralingam

  • Distributed Microarchitectural Protocols in the TRIPS Prototype Processor

    Karthikeyan Sankaralingam;Ramadass Nagarajan;Robert McDonald;Rajagopalan Desikan

  • Power challenges may end the multicore era

    Hadi Esmaeilzadeh;Emily Blem;Renée St. Amant;Karthikeyan Sankaralingam

  • Stream-Dataflow Acceleration

    Tony Nowatzki;Vinay Gangadhar;Newsha Ardalani;Karthikeyan Sankaralingam

  • Implementing Signatures for Transactional Memory

    Daniel Sanchez;Luke Yen;Mark D. Hill;Karthikeyan Sankaralingam

  • Evaluating GPUs for network packet signature matching

    Randy Smith;Neelam Goyal;Justin Ormont;Karthikeyan Sankaralingam

  • On-Chip Interconnection Networks of the TRIPS Chip

    P. Gratz;Changkyu Kim;K. Sankaralingam;H. Hanson

  • Distributed pagerank for P2P systems

    K. Sankaralingam;S. Sethumadhavan;J.C. Browne

  • Cross-architecture performance prediction (XAPP) using CPU code to predict GPU performance

    Newsha Ardalani;Clint Lestourgeon;Karthikeyan Sankaralingam;Xiaojin Zhu

  • TRIPS: A polymorphous architecture for exploiting ILP, TLP, and DLP

    Karthikeyan Sankaralingam;Ramadass Nagarajan;Haiming Liu;Changkyu Kim

  • Static analysis and compiler design for idempotent processing

    Marc A. de Kruijf;Karthikeyan Sankaralingam;Somesh Jha

  • A general constraint-centric scheduling framework for spatial architectures

    Tony Nowatzki;Michael Sartin-Tarm;Lorenzo De Carli;Karthikeyan Sankaralingam

  • iGPU: exception support and speculative execution on GPUs

    Jaikrishnan Menon;Marc De Kruijf;Karthikeyan Sankaralingam

Frequent Co-Authors

Doug Burger
Doug Burger Microsoft (United States)
Stephen W. Keckler
Stephen W. Keckler Nvidia (United States)
Changkyu Kim
Changkyu Kim Facebook (United States)
Hadi Esmaeilzadeh
Hadi Esmaeilzadeh University of California, San Diego
Shan Lu
Shan Lu University of Chicago
Somesh Jha
Somesh Jha University of Wisconsin–Madison
James C. Browne
James C. Browne The University of Texas at Austin
Kathryn S. McKinley
Kathryn S. McKinley Google (United States)
Mark D. Hill
Mark D. Hill University of Wisconsin–Madison
Xiaojin Zhu
Xiaojin Zhu University of Wisconsin–Madison

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