LabCompass

Maciej Brodowicz

Computer Science · Indiana University

OpenAlex ORCID
Parallel Computing and Optimization TechniquesDistributed and Parallel Computing SystemsAdvanced Data Storage TechnologiesInterconnection Networks and SystemsDistributed systems and fault tolerance

Publications

85

Citations

317

Est. group size

—

Recurring co-author estimate

Active years

29

Publishing since 1998

Research summary
AI-generated

Maciej Brodowicz works in high performance computing (HPC), which involves designing systems and software to run large computational problems quickly across many processors. Recent work focuses on message-driven systems for processing large and irregular graphs (networks of connected data), as well as educational material covering parallel programming techniques such as MPI and OpenMP. Much recent output is textbook-style content explaining foundational HPC concepts.

High performance computingParallel and distributed computingGraph processing systemsMessage-driven system architecturesHPC education and programming

Publication activity has been uneven, with large bursts in 2018 and 2025, several quiet years in between, and a recent five-year average of about 5.4 publications per year.

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: 2 publications172018: 25 publications25182019: 1 publication19202122232024: 3 publications242025: 23 publications252026: 1 publication26
Recent publications
Publishes in
  • Elsevier eBooks×44
  • Supercomputing Frontiers and Innovations×3
  • Zenodo (CERN European Organization for Nuclear Research)×3
  • Lecture notes in computer science×2
  • arXiv (Cornell University)×2

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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