LabCompass

Thomas Sterling

Computer Science · Indiana University

OpenAlex ORCID
Parallel Computing and Optimization TechniquesDistributed and Parallel Computing SystemsAdvanced Data Storage TechnologiesInterconnection Networks and SystemsCloud Computing and Resource Management

Publications

399

Citations

3,955

Est. group size

—

Recurring co-author estimate

Active years

57

Publishing since 1970

Research summary
AI-generated

Thomas Sterling works in high-performance computing (HPC), focusing on how to run very large computations efficiently across many processors and machines at once. His research develops parallel computing systems, software frameworks, and algorithms, including tools for scientific simulations such as modeling detailed neural networks and solving physics equations on distributed-memory supercomputers.

Parallel and distributed computingHigh-performance computing systems and softwareFast multipole methods and scientific simulationAsynchronous simulation of neural networksCluster and exascale computing environments

Publication activity has been irregular over the past decade, with peaks in 2018 and 2025 and several very quiet years in between.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.4/year recently
2017: 7 publications172018: 26 publications26182019: 6 publications192020: 1 publication20212022: 1 publication22232024: 3 publications242025: 22 publications252026: 1 publication26
Recent publications
Publishes in
  • Elsevier eBooks×43
  • arXiv (Cornell University)×5
  • Lecture notes in computer science×4
  • Communications in Computational Physics×3
  • Supercomputing Frontiers and Innovations×3

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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