LabCompass

Dingwen Tao

Computer Science · Indiana University

OpenAlex ORCID
Advanced Data Storage TechnologiesParallel Computing and Optimization TechniquesAlgorithms and Data CompressionDistributed and Parallel Computing SystemsAdvanced Data Compression Techniques

Publications

177

Citations

2,863

Est. group size

~1

Recurring co-author estimate

Active years

13

Publishing since 2014

Research summary
AI-generated

Dingwen Tao works on high-performance computing systems, with a focus on data compression techniques that shrink large scientific datasets while keeping errors within controlled bounds. Much of the recent work applies these compression methods to speed up communication in large-scale machine learning training (such as large language models) and to improve data storage and movement on GPUs and supercomputers. The research combines algorithm design with practical software frameworks for parallel and distributed computing.

Error-bounded lossy data compressionGPU and parallel computing optimizationCommunication-efficient distributed/LLM trainingHigh-performance computing storage and I/OScientific data management

Publication activity grew from around 10 per year in the late 2010s to a steady rate of roughly 20 or more per year in recent years.

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

Publication cadence
Publications per year over the last 10 years — averaging 20.2/year recently
2017: 10 publications172018: 11 publications182019: 10 publications192020: 18 publications202021: 23 publications212022: 22 publications222023: 26 publications26232024: 22 publications242025: 20 publications252026: 11 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×55
  • IEEE Transactions on Parallel and Distributed Systems×9
  • Proceedings of the VLDB Endowment×3
  • ACM Transactions on Architecture and Code Optimization×3
  • The International Journal of High Performance Computing Applications×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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