Multiple New Students Joined PADSYS! Welcome!

Four new students (two Ph.D. students and two Master students) joined PADSYS Lab since 2022!

With multiple undergraduate students and two current Ph.D. students, PADSYS Lab is growing substantially since 2022!

You can find all PADSYS Lab members in this page.

Go PADSYS!

Dr. Lu's book on 'High-Performance Big Data Computing' got published!

We are very happy to announce that our book on 'High-Performance Big Data Computing' is finally getting launched by the MIT Press.

HPBDC Book Cover

The book provides an in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep learning. It is targeted at students, researchers, and professionals working in these fields. Suitable chapters can also be used in graduate and/or senior-level classes. It contains the results of many state-of-the-art research directions and publications done worldwide.

A short overview of this book is as follows:

The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.

More details on this book are available from here.

Congratulations to all the authors!