World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
8620
World Ranking
5416
National Ranking
2472

Mary Hall publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Mary Hall sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 196 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Mary Hall D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Mary Hall sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2010 - ACM Distinguished Member

Overview

Mary Hall is affiliated with the University of Utah in the United States. Their research primarily centers on computer science, with a focus on hardware and architecture, artificial intelligence, and computational mathematics, among other subfields.

The scientist's work spans multiple topics within computer science, including:

  • Parallel Computing and Optimization Techniques
  • Tensor decomposition and applications
  • Algorithms and Data Compression
  • Advanced Data Storage Technologies
  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Cloud Computing and Resource Management

Mary Hall has contributed significantly to the scientific literature, with notable recent publications such as:

  • "Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization" (2021), published in Concurrency and Computation Practice and Experience
  • "Polyhedral Specification and Code Generation of Sparse Tensor Contraction with Co-iteration" (2022), published in ACM Transactions on Architecture and Code Optimization
  • "ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales" (2024), published in Concurrency and Computation Practice and Experience
  • "Polyhedral Specification and Code Generation of Sparse Tensor Contraction with Co-Iteration" (2022), published in arXiv (Cornell University)
  • "Exploring Data Layout for Sparse Tensor Times Dense Matrix on GPUs" (2023), published in ACM Transactions on Architecture and Code Optimization

The venues where Mary Hall frequently publishes include:

  • arXiv (Cornell University)
  • ACM Transactions on Architecture and Code Optimization
  • Artifact Digital Object Group
  • Concurrency and Computation Practice and Experience
  • The International Journal of High Performance Computing Applications

Collaborations are an important aspect of Mary Hall's research, with frequent coauthors such as:

  • Xingfu Wu
  • Michael Kruse
  • Prasanna Balaprakash
  • Paul Hovland
  • Valerie Taylor

In 2010, Mary Hall was recognized as an ACM Distinguished Member.

Best Publications

  • Maximizing multiprocessor performance with the SUIF compiler

    M.W. Hall;J.M. Anderson;J.M. Anderson;S.P. Amarasinghe;S.P. Amarasinghe;B.R. Murphy;B.R. Murphy

  • SUIF: an infrastructure for research on parallelizing and optimizing compilers

    Robert P. Wilson;Robert S. French;Christopher S. Wilson;Saman P. Amarasinghe

  • The architecture of the DIVA processing-in-memory chip

    Jeff Draper;Jacqueline Chame;Mary Hall;Craig Steele

  • A scalable auto-tuning framework for compiler optimization

    Ananta Tiwari;Chun Chen;Jacqueline Chame;Mary Hall

  • Mapping Irregular Applications to DIVA, a PIM-based Data-Intensive Architecture

    Mary Hall;Peter Kogge;Jeff Koller;Pedro Diniz

  • Detecting Coarse - Grain Parallelism Using an Interprocedural Parallelizing Compiler

    Mary H. Hall;Saman P. Amarasinghe;Brian R. Murphy;Shih-Wei Liao

  • Superword-Level Parallelism in the Presence of Control Flow

    Jaewook Shin;Mary Hall;Jacqueline Chame

  • A methodology for procedure cloning

    Keith D Cooper;Mary W Hall;Ken Kennedy

  • Combining Models and Guided Empirical Search to Optimize for Multiple Levels of the Memory Hierarchy

    Chun Chen;Jacqueline Chame;Mary Hall

  • The ParaScope parallel programming environment

    K.D. Cooper;M.W. Hall;R.T. Hood;K. Kennedy

  • A compiler approach to fast hardware design space exploration in FPGA-based systems

    Byoungro So;Mary W. Hall;Pedro C. Diniz

  • Processing-in-memory technology for knowledge discovery algorithms

    Jafar Adibi;Tim Barrett;Spundun Bhatt;Hans Chalupsky

  • Procedure cloning

    K.D. Cooper;M.W. Hall;K. Kennedy

  • Managing interprocedural optimization

    Mary Wolcott Hall

  • An experiment with inline substitution

    Keith D. Cooper;Mary W. Hall;Linda Torczon

  • Loop transformation recipes for code generation and auto-tuning

    Mary Hall;Jacqueline Chame;Chun Chen;Jaewook Shin

  • Roofline Model Toolkit: A Practical Tool for Architectural and Program Analysis

    Yu Jung Lo;Samuel Williams;Brian Van Straalen;Terry J. Ligocki

  • Interprocedural compilation of Fortran D for MIMD distributed-memory machines

    M. W. Hall;S. Hiranandani;K. Kennedy;C.-W. Tseng

  • Efficient call graph analysis

    Mary W. Hall;Ken Kennedy

  • Autotuning in High-Performance Computing Applications

    Prasanna Balaprakash;Jack Dongarra;Todd Gamblin;Mary Hall

  • Parascope: a Parallel Programming Environment

    C. David Callahan;Keith D. Cooper;Robert T. Hood;Ken Kennedy

  • Maximizing Multiprocessor Performance with the SUIF Compiler.

    Mary W. Hall;Jennifer-Ann M. Anderson;Saman P. Amarasinghe;Brian R. Murphy

  • Proceedings of the 12th International Workshop on High-Level Parallel Programming Models and Supportive Environments

    Arun Chauhan;Daniel G. Chavarria;Li Chen;Guang R. Gao

Frequent Co-Authors

Samuel Williams
Samuel Williams Lawrence Berkeley National Laboratory
Monica S. Lam
Monica S. Lam Stanford University
Ken Kennedy
Ken Kennedy Rice University
David Padua
David Padua University of Illinois at Urbana-Champaign
Yolanda Gil
Yolanda Gil University of Southern California
Keith D. Cooper
Keith D. Cooper Rice University
Joel H. Saltz
Joel H. Saltz Stony Brook University
Chau-Wen Tseng
Chau-Wen Tseng University of Maryland, College Park
Ewa Deelman
Ewa Deelman University of Southern California

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