Welcome to visit the Parallel and Distributed Systems Laboratory (PADSYS Lab) website. We are one of the labs in the Department of Computer Science and Engineering, The University of California, Merced.

We are interested in understanding, modeling, designing, and developing real computer systems. Our current research interests include parallel and distributed computing, high-performance interconnects, advanced I/O technologies, Big Data Analytics, Virtualization, Cloud Computing, High-Performance Computing, and Deep Learning system software. We are also closely working with application domain scientists to solve grand challenges facing different communities, such as agriculture, neuroscience, and so on.

Join Us

We are looking forward to working with self-motivated Ph.D., M.S., and undergraduate students, with research interests in parallel and distributed computing systems. Ph.D. students will be supported by full scholarships to cover the tuition fees and living expenses.

Please feel free to contact Prof. Xiaoyi Lu if you have interest.

Links

You can find any of our research projects here.

You can find any of our publications here.

You can find any of our developed software here.

Lab Photos

PADSYS Labi Members 2019 Photo
(The photo was taken at OSU Dreese Lab building in 2019.)

The Parallel and Distributed Systems Laboratory (PADSYS Lab) was started in 2018 by Prof. Xiaoyi Lu when he got his first faculty job at the Department of Computer Science and Engineering, The Ohio State University (OSU). In 2021, we moved to the Department of Computer Science and Engineering, The University of California, Merced and began the second edition of PADSYS Lab. Before PADSYS Lab was founded, Prof. Xiaoyi Lu was a core member and research scientist in NOWLab@OSU, which is led by Prof. D. K. Panda.

PADSYS Lab is always interested in understanding, modeling, designing, and developing real computer systems.

Join Us

We are looking forward to working with self-motivated Ph.D., M.S., and undergraduate students, with research interests in parallel and distributed computing systems. Ph.D. students will be supported by full scholarships to cover the tuition fees and living expenses.

Please feel free to contact Prof. Xiaoyi Lu if you have interest.

Lab Photos

The following photos show a brief journey of PADSYS Lab since 2019.

PADSYS Lab during COVID-19
(The photo was taken online in 2020 during COVID-19.)


PADSYS Lab Photo
(The photo was taken at OSU Dreese Lab building in 2019.)

Selected Awards, Honors, and Recognitions

  • Best Paper Award Nomination - International Symposium on Benchmarking, Measuring, and Optimizing (Bench), 2019.
  • Best Paper Award Nomination - IEEE International Symposium on Workload Characterization (IISWC), 2019. )
  • Best Student Paper Award Finalist - The 32nd International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2019.
  • Best Paper Award - International Symposium on Benchmarking, Measuring, and Optimizing (Bench), 2018.
  • Best Poster Paper Award - International Supercomputing Conference (ISC), Architecture & Networks Track, 2018.
  • Best Student Paper Award - The 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC), 2017.
  • Best Paper Award Nomination - The IEEE International Conference on Cluster Computing (Cluster), 2014.
  • Best Student Paper Award - The IEEE International Conference on Cluster Computing (Cluster), 2013.
  • Outstanding Graduates (Ph.D.) of Beijing - Beijing Municipal Commission of Education, 2012.
  • Best Paper Award - The 9th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2011.
  • Outstanding Student Award - Graduate University of Chinese Academy of Sciences, 2010.
  • Director Scholarship - Institute of Computing and Technology, Chinese Academy of Sciences,2010.

This is a collection of popular press coverage for the work done by PADSYS members.

  • Chameleon Cloud - Performance Analysis of Deep Learning Workloads Using Roofline Trajectories on Chameleon
  • InsideHPC - Accelerating TensorFlow with RDMA for High-Performance Deep Learning
  • InsideHPC - High-Performance Big Data Analytics with RDMA over NVM and NVMe-SSD
  • InsideHPC - Building Efficient HPC Clouds with MCAPICH2 and RDMA-Hadoop over SR-IOV IB Clusters
  • TDAI-OSU - Provide big data computing expertise for neuroscience in NSF spoke project

Email

Xiaoyi Lu (Lab Head): xiaoyi DOT lu AT ucmerced DOT edu

Mailing Address

Parallel and Distributed Systems Laboratory (PADSYS)

Department of Computer Science and Engineering

School of Engineering

The University of California, Merced

SE2 277, 5200 N. Lake Road, Merced, CA 95343

Telephone

CSE Phone: +1 209-228-4411

Fax: +1 TBD