Runtime Systems For Parallelism

Runtime Systems for Parallelism is a software system that belongs to the class of execution environments managing program behavior, distinguished by its specialized coordination, scheduling, and resource management mechanisms for enabling and controlling parallel execution of tasks or threads across heterogeneous hardware architectures.

96

Publications

6.7K

Citations

332

Authors

108

Institutions

Publications per year

2017–2026

9

Authors

332

  1. AS
    Alan Sussman

    University of Maryland, College Park, United States

    4 publications · 161 citations

    4

    h-index

  2. JS
    Joel Saltz

    Stony Brook University, United States

    4 publications · 161 citations

    4

    h-index

  3. HK
    Hartmut Kaiser

    Louisiana State University, United States

    3 publications · 155 citations

    3

    h-index

  4. PD
    Patrick Diehl

    University of Basel, Switzerland

    3 publications · 155 citations

    3

    h-index

  5. AS
    Assaf Schuster

    Technion – Israel Institute of Technology, Israel

    3 publications · 89 citations

    3

    h-index

1–5 of 332

Venues

  1. Journal of Parallel and Distributed Computing

    5 publications · 170 citations

    5

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 5 publications · 235 citations

    5

    h-index

  3. The Journal of Supercomputing

    3 publications · 85 citations

    3

    h-index

  4. Parallel Computing

    2 publications · 72 citations

    2

    h-index

  5. 2

    h-index

1–5