PADSYS Lab has officially joined the University of Florida!
Starting in 2026, Prof. Xiaoyi Lu has joined the Department of Electrical and Computer Engineering at UF, and PADSYS Lab begins an exciting new chapter. We look forward to expanding our research on scalable, efficient, and secure systems for modern computing, including HPC, AI, and heterogeneous infrastructures.
Go PADSYS!
PADSYS Lab is actively looking for strong postdoc researchers and Ph.D. students interested in parallel and distributed computing, AI systems, and high-performance communication. Please feel free to reach out to Prof. Lu for more details.
We are excited to announce that two papers from PADSYS Lab have been accepted and presented at SC 2025:
- "HPC-R1: Characterizing R1-like Large Reasoning Models on HPC"
- "DPAR: High-Performance, Secure, and Scalable Differential Privacy-based AllReduce"
These works explore emerging directions in large-scale AI systems and secure distributed training.
Congratulations to all authors!
Go PADSYS!
PADSYS Lab has had a productive year with multiple papers accepted to top systems venues, including SC 2025, HPDC 2025, ICS 2025, PPoPP 2025, IPDPS 2025, SIGMOD 2025, and SEC 2025.
These works span distributed systems, machine learning, privacy-preserving computing, DPU-enabled computing, federated learning, and data-intensive applications, reflecting our continued efforts in advancing scalable and high-performance computing systems.
Congratulations to all students and collaborators!
Go PADSYS!
Our paper "Accelerating Lossy and Lossless Compression on Emerging BlueField DPU Architectures" has received a Best Paper Award Nomination at IPDPS 2024.
This work explores efficient compression techniques on emerging DPU architectures for high-performance systems.
Congratulations to Yuke Li and the team!
Go PADSYS!
Prof. Xiaoyi Lu has received the NSF CAREER Award.
This award supports research on heterogeneity-enriched communication for next-generation HPC and AI systems, as well as education and outreach activities.
We are excited to advance this research direction! Thanks a lot for NSF's support!
Go PADSYS!