Herbert Wertheim College of Engineering
Parallel and Distributed Systems Laboratory (PADSYS)
Led by Xiaoyi Lu · Electrical and Computer Engineering
What we study
The PADSYS Lab studies how to make computing systems faster and more secure, especially for high-performance computing, big data, and AI. They develop tools like RDMA and GPUs to improve communication and I/O in these systems.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Projects
- 4
Current projects
HCCL
A library for efficient communication in heterogeneous computing systems.
OpenDOTA
An open-source architecture for data offloading and transfer using DPUs.
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SR-APPFL
A scalable and resilient framework for privacy-preserving federated learning.
PMIdioBench
Builds PMIdioBench, a benchmark set of tests for understanding how persistent memory systems, a type of computer storage, behave, to help design faster software.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
How to reach out
Xiaoyi Lu hasn't set up this page yet. Their UF Scholars profile lists their publications.