Herbert Wertheim College of Engineering

Parallel and Distributed Systems Laboratory (PADSYS)

Led by Xiaoyi Lu · Electrical and Computer Engineering

Auto-generated from UF undergraduate research symposium abstracts

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.

Show 2 more projects

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

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Open positions

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Parallel and Distributed Systems Laboratory (PADSYS) · Xiaoyi Lu | JoinLattice