Vernon Rego
Computer Science · Purdue University West Lafayette
Publications
101
Citations
712
Est. group size
—
Recurring co-author estimate
Active years
41
Publishing since 1985
Vernon Rego's work focuses on distributed and parallel computing, particularly parallel discrete-event simulation (a way of modeling systems where events happen over time, sped up by running computations in parallel), and on optimizing data-processing algorithms for GPUs (graphics processing units used for high-speed parallel computation). Recent work has also touched on data structures (like heaps) applied to areas such as marketing and emergency-room service modeling.
Publication output has been sparse and irregular over the last decade, with only a few recorded outputs and long gaps between them.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- IHEAP: Generalized Heap Module with Case Studies in Marketing and Emergency Room Services
2025
- Experiences with implementing parallel discrete-event simulation on GPU
The Journal of Supercomputing · 2018
- Efficient Algorithms for Stream Compaction on GPUs
International Journal of Networking and Computing · 2017
- A Fast Hybrid Approach for Stream Compaction on GPUs
2016
- International Journal of Networking and Computing×1
- The Journal of Supercomputing×1
- Matthew Anderson
Computer Science · Indiana University
- Martin Swany
Computer Science · Indiana University
- Manikya Swathi Vallabhajosyula
Computer Science · The Ohio State University
- Dennis Gannon
Computer Science · Indiana University
- Dennis Gannon
Computer Science · Indiana University
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 20, 2026.
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