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Computer Science

D-Index
43
Citations
9289
World Ranking
7888
National Ranking
3408

Overview

Emmett Witchel is affiliated with The University of Texas at Austin in the United States. Their work focuses primarily on areas within computer science, including computer networks and communications as well as information systems.

The scientist has made contributions across multiple research topics. These include:

  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Advanced Data Storage Technologies
  • Distributed and Parallel Computing Systems
  • Distributed Systems and Fault Tolerance

Emmett Witchel has published research in several academic venues, notably:

  • ACM SIGOPS Operating Systems Review
  • 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • ACM Transactions on Computer Systems

Recent publications include the following papers:

  • "DGSF: Disaggregated GPUs for Serverless Functions," 2022, 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • "Disaggregated GPU Acceleration for Serverless Applications," 2023, ACM SIGOPS Operating Systems Review
  • "The Key Ideas Behind Boki's Shared Logs," 2024, ACM SIGOPS Operating Systems Review
  • "Boki: Towards Data Consistency and Fault Tolerance with Shared Logs in Stateful Serverless Computing," 2024, ACM Transactions on Computer Systems

The scientist has collaborated frequently with several coauthors, including:

  • Zhipeng Jia
  • Henrique Fingler
  • Zhiting Zhu
  • Esther Yoon
  • Christopher J. Rossbach

Emmett Witchel's body of work primarily aligns with advanced aspects of distributed computing systems, serverless computing, and GPU acceleration technologies within modern cloud computing frameworks.

Best Publications

  • Complete computer system simulation: the SimOS approach

    M. Rosenblum;S.A. Herrod;E. Witchel;A. Gupta

  • Airavat: security and privacy for MapReduce

    Indrajit Roy;Srinath T. V. Setty;Ann Kilzer;Vitaly Shmatikov

  • Separating key management from file system security

    David Mazières;Michael Kaminsky;M. Frans Kaashoek;Emmett Witchel

  • Mondrian memory protection

    Emmett Witchel;Josh Cates;Krste Asanović

  • Embra: fast and flexible machine simulation

    Emmett Witchel;Mendel Rosenblum

  • PTask: operating system abstractions to manage GPUs as compute devices

    Christopher J. Rossbach;Jon Currey;Mark Silberstein;Baishakhi Ray

  • Ryoan: A Distributed Sandbox for Untrusted Computation on Secret Data

    Tyler Hunt;Zhiting Zhu;Yuanzhong Xu;Simon Peter

  • InkTag: secure applications on an untrusted operating system

    Owen S. Hofmann;Sangman Kim;Alan M. Dunn;Michael Z. Lee

  • Ryoan: a distributed sandbox for untrusted computation on secret data

    Tyler Hunt;Zhiting Zhu;Yuanzhong Xu;Simon Peter

  • The impact of architectural trends on operating system performance

    M. Rosenblum;E. Bugnion;S. A. Herrod;E. Witchel

  • Laminar: practical fine-grained decentralized information flow control

    Indrajit Roy;Donald E. Porter;Michael D. Bond;Kathryn S. McKinley

  • Is transactional programming actually easier

    Christopher J. Rossbach;Owen S. Hofmann;Emmett Witchel

  • Strata: A Cross Media File System

    Youngjin Kwon;Henrique Fingler;Tyler Hunt;Simon Peter

  • Privacy-preserving remote diagnostics

    Justin Brickell;Donald E. Porter;Vitaly Shmatikov;Emmett Witchel

  • Chiron: Privacy-preserving Machine Learning as a Service.

    Tyler Hunt;Congzheng Song;Reza Shokri;Vitaly Shmatikov

  • Ensuring operating system kernel integrity with OSck

    Owen S. Hofmann;Alan M. Dunn;Sangman Kim;Indrajit Roy

  • Coordinated and efficient huge page management with ingens

    Youngjin Kwon;Hangchen Yu;Simon Peter;Christopher J. Rossbach

  • Nightcore: efficient and scalable serverless computing for latency-sensitive, interactive microservices

    Zhipeng Jia;Emmett Witchel

  • GPUfs: integrating a file system with GPUs

    Mark Silberstein;Bryan Ford;Idit Keidar;Emmett Witchel

  • TxLinux: using and managing hardware transactional memory in an operating system

    Christopher J. Rossbach;Owen S. Hofmann;Donald E. Porter;Hany E. Ramadan

  • MetaTM/TxLinux: Transactional Memory for an Operating System

    H.E. Ramadan;C.J. Rossbach;D.E. Porter;O.S. Hofmann

Frequent Co-Authors

Krste Asanovic
Krste Asanovic University of California, Berkeley
Peter Stone
Peter Stone The University of Texas at Austin
Vitaly Shmatikov
Vitaly Shmatikov Cornell University
Thomas Anderson
Thomas Anderson University of Washington
Brent Waters
Brent Waters The University of Texas at Austin
Mendel Rosenblum
Mendel Rosenblum Stanford University
Mike Dahlin
Mike Dahlin The University of Texas at Austin
Bryan Ford
Bryan Ford École Polytechnique Fédérale de Lausanne
Dejan Kostic
Dejan Kostic Royal Institute of Technology
Idit Keidar
Idit Keidar Technion – Israel Institute of Technology

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