World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
7139
World Ranking
7641
National Ranking
3308

Overview

Calvin Lin is affiliated with The University of Texas at Austin in the United States. Their research primarily spans the field of Computer Science with significant contributions in several subfields including Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Molecular Biology, and Electrical and Electronic Engineering.

The scientist's main topics of work focus on Parallel Computing and Optimization Techniques, Advanced Data Storage Technologies, Interconnection Networks and Systems, Heat Shock Proteins Research, Ubiquitin and Proteasome Pathways, Distributed Systems and Fault Tolerance, and Radiation Effects in Electronics.

Lin has published in a variety of venues, with a notable presence in the following:

  • arXiv (Cornell University)
  • IEEE Micro
  • IEEE Transactions on Computers
  • Biophysical Journal
  • Open Collections

Their recent papers include these titles:

  • "Practical Temporal Prefetching With Compressed On-Chip Metadata" (2021, IEEE Transactions on Computers)
  • "Learned Hardware/Software Co-Design of Neural Accelerators" (2020, arXiv (Cornell University))
  • "IEEE Annals of the History of Computing" (2023, IEEE Micro)
  • "Exploring Hsp90 as a possible pseudo-substrate receptor for E3 ligases" (2023, Biophysical Journal)
  • "Effective Mimicry of Bélády's MIN Policy" (2023, IEEE Micro)

Frequent coauthors working with Lin include Akanksha Jain, Ishan Shah, Chirag Sakhuja, Hao Wu, and Krishnendra Nathella. These collaborations have contributed to a multidisciplinary range of topics intersecting computer science and molecular biology.

Best Publications

  • Dynamic branch prediction with perceptrons

    D.A. Jimenez;C. Lin

  • Scaling to the end of silicon with EDGE architectures

    D. Burger;S.W. Keckler;K.S. McKinley;M. Dahlin

  • The ant and the grasshopper: fast and accurate pointer analysis for millions of lines of code

    Ben Hardekopf;Calvin Lin

  • Neural methods for dynamic branch prediction

    Daniel A. Jiménez;Calvin Lin

  • Raccoon: closing digital side-channels through obfuscated execution

    Ashay Rane;Calvin Lin;Mohit Tiwari

  • Flow-sensitive pointer analysis for millions of lines of code

    Ben Hardekopf;Calvin Lin

  • The impact of delay on the design of branch predictors

    Daniel A. Jiménez;Stephen W. Keckler;Calvin Lin

  • Linearizing irregular memory accesses for improved correlated prefetching

    Akanksha Jain;Calvin Lin

  • Adaptive History-Based Memory Schedulers

    Ibrahim Hur;Calvin Lin

  • A comprehensive approach to DRAM power management

    I. Hur;C. Lin

  • Efficient and extensible security enforcement using dynamic data flow analysis

    Walter Chang;Brandon Streiff;Calvin Lin

  • Semi-sparse flow-sensitive pointer analysis

    Ben Hardekopf;Calvin Lin

  • Principles of Parallel Programming

    Calvin Lin;Larry Snyder

  • Volume leases for consistency in large-scale systems

    Jian Yin;L. Alvisi;M. Dahlin;C. Lin

  • Back to the future: leveraging Belady's algorithm for improved cache replacement

    Akanksha Jain;Calvin Lin

  • An annotation language for optimizing software libraries

    Samuel Z. Guyer;Calvin Lin

  • Memory Prefetching Using Adaptive Stream Detection

    Ibrahim Hur;Calvin Lin

  • Client-driven pointer analysis

    Samuel Z. Guyer;Calvin Lin

  • Applying Deep Learning to the Cache Replacement Problem

    Zhan Shi;Xiangru Huang;Akanksha Jain;Calvin Lin

  • Using leases to support server-driven consistency in large-scale systems

    J. Yin;L. Alvisi;M. Dahlin;C. Lin

Frequent Co-Authors

Lawrence Snyder
Lawrence Snyder University of Washington
Lawrence H. Snyder
Lawrence H. Snyder Washington University in St. Louis
Stephen W. Keckler
Stephen W. Keckler Nvidia (United States)
Mike Dahlin
Mike Dahlin The University of Texas at Austin
Lorenzo Alvisi
Lorenzo Alvisi Cornell University
Kathryn S. McKinley
Kathryn S. McKinley Google (United States)
George Veletsianos
George Veletsianos University of Minnesota
Isil Dillig
Isil Dillig The University of Texas at Austin
Doug Burger
Doug Burger Microsoft (United States)
Lizy K. John
Lizy K. John The University of Texas at Austin

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