World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
8195
World Ranking
11040
National Ranking
85

Overview

Sally A. McKee is affiliated with Chalmers University of Technology in Sweden. Their research spans multiple areas within computer science, with a primary focus on hardware and architecture, computational theory and mathematics, and computer networks and communications.

Their recent publication record includes work such as the 2021 paper titled Posits and the state of numerical representations in the age of exascale and edge computing, published in Software Practice and Experience.

McKee's research covers several main topics including:

  • Parallel Computing and Optimization Techniques
  • Numerical Methods and Algorithms
  • Advanced Data Storage Technologies

Their frequent coauthors include Alexandra Poulos and Jon C. Calhoun.

Publications by McKee have appeared primarily in Software Practice and Experience.

Their work contributes to the fields of:

  • Computer Science

Within this broad field, McKee has focused on several subfields:

  • Hardware and Architecture
  • Computational Theory and Mathematics
  • Computer Networks and Communications

Best Publications

  • Hitting the memory wall: implications of the obvious

    Wm. A. Wulf;Sally A. McKee

  • Reflections on the memory wall

    Sally A. McKee

  • Real time power estimation and thread scheduling via performance counters

    Karan Singh;Major Bhadauria;Sally A. McKee

  • Efficiently exploring architectural design spaces via predictive modeling

    Engin Ïpek;Sally A. McKee;Rich Caruana;Bronis R. de Supinski

  • Methods of inference and learning for performance modeling of parallel applications

    Benjamin C. Lee;David M. Brooks;Bronis R. de Supinski;Martin Schulz

  • An approach to performance prediction for parallel applications

    Engin Ipek;Bronis R. de Supinski;Martin Schulz;Sally A. McKee

  • The Impulse memory controller

    Lixin Zhang;Zhen Fang;M. Parker;B.K. Mathew

  • An approach to resource-aware co-scheduling for CMPs

    Major Bhadauria;Sally A. McKee

  • Can hardware performance counters be trusted

    V.M. Weaver;S.A. McKee

  • Method and device for maximizing memory system bandwidth by accessing data in a dynamically determined order

    William A. Wulf;Sally A. McKee;Robert Klenke;Andrew J. Schwab

  • Portable, scalable, per-core power estimation for intelligent resource management

    Bhavishya Goel;Sally A. McKee;Roberto Gioiosa;Karan Singh

  • Dynamic access ordering for streamed computations

    S.A. McKee;W.A. Wulf;J.H. Aylor;R.H. Klenke

  • Understanding PARSEC performance on contemporary CMPs

    Major Bhadauria;Vincent M. Weaver;Sally A. McKee

  • Access order and effective bandwidth for streams on a Direct Rambus memory

    S.I. Hong;S.A. McKee;M.H. Salinas;R.H. Klenke

  • Characterizing and subsetting big data workloads

    Zhen Jia;Jianfeng Zhan;Lei Wang;Rui Han

  • Predicting parallel application performance via machine learning approaches

    Karan Singh;Engin İpek;Sally A. McKee;Bronis R. de Supinski

  • Efficient architectural design space exploration via predictive modeling

    Engin Ipek;Sally A. McKee;Karan Singh;Rich Caruana

  • Access ordering and memory-conscious cache utilization

    S.A. Mckee;W.A. Wulf

  • Design of a parallel vector access unit for SDRAM memory systems

    B.K. Mathew;S.A. McKee;J.B. Carter;A. Davis

  • Machine learning based online performance prediction for runtime parallelization and task scheduling

    Jiangtian Li;Xiaosong Ma;Karan Singh;Martin Schulz

  • Proceedings of the international conference on Supercomputing

    David K. Lowenthal;Bronis R. de Supinski;Sally A. McKee

Frequent Co-Authors

Martin Schulz
Martin Schulz Technical University of Munich
Lixin Zhang
Lixin Zhang East China University of Science and Technology
John B. Carter
John B. Carter IBM (United States)
Bronis R. de Supinski
Bronis R. de Supinski Lawrence Livermore National Laboratory
Karan Singh
Karan Singh University of Toronto
Wilson C. Hsieh
Wilson C. Hsieh Google (United States)
Frank Mueller
Frank Mueller North Carolina State University
William A. Wulf
William A. Wulf University of Virginia
Rich Caruana
Rich Caruana Microsoft (United States)
Per Stenström
Per Stenström Chalmers University of Technology

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