Welcome to HPBDC 2020

News: Due to COVID-19, HPBDC 2020 will be held online on May 18th, 9:00 AM EST. You can join the online event through this link. The program can be found here.

Managing and processing large volumes of data, or Big Data, and gaining meaningful insights is a significant challenge facing the parallel and distributed computing community. This has significant impact in a wide range of domains including health care, bio-medical research, Internet search, finance and business informatics, and scientific computing. As data-gathering technologies and data sources witness an explosion in the amount of input data, it is expected that in the future massive quantities of data in the order of hundreds or thousands of petabytes will need to be processed. Thus, it is critical that data-intensive computing middleware (such as Hadoop, Spark, Flink, etc.) to process such data are diligently designed, with high performance and scalability, in order to meet the growing demands of such Big Data applications.

The explosive growth of Big Data has caused many industrial firms to adopt High Performance Computing (HPC) technologies to meet the requirements of huge amount of data to be processed and stored. The convergence of HPC, Big Data, and Deep Learning is becoming the next game-changing business opportunity. Apache Hadoop, Spark, gRPC/TensorFlow, and Memcached are becoming standard building blocks in handling Big Data oriented processing and mining.

Modern HPC bare-metal systems and Cloud Computing platforms have been fueled with the advances in multi-/many-core architectures, RDMA-enabled networking, NVRAMs, and NVMe-SSDs during the last decade. However, Big Data and Deep Learning middleware (such as Hadoop, Spark, Flink, and gRPC) have not embraced such technologies fully. These disparities are taking HPC, Big Data, and Deep Learning into divergent trajectories.

International Workshop on High-Performance Big Data, Deep Learning, and Cloud Computing (HPBDC), aims to bring HPC, Big Data processing, Deep Learning, and Cloud Computing into a convergent trajectory. The workshop provides a forum for scientists and engineers in academia and industry to present their latest research findings in major and emerging topics for 'HPC + Big Data + Deep Learning over HPC Clusters and Clouds'.

HPBDC 2020 will be held in conjunction with the 34th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2020), New Orleans, Louisiana USA, May 2020.

Call For Papers

HPBDC 2020 welcomes original submissions in a range of areas, including but not limited to:

Papers should present original research. As the fields of Big Data, Deep Learning, and Cloud Computing span many disciplines, papers should provide sufficient background material to make them accessible to the broader community. One outstanding paper will be selected for the Best Paper Award.

Keynote Speakers

Submission Info

All submissions should follow the IEEE standard 8.5” x 11” two-column format. The workshop will accept traditional research papers (8-10 pages) for in-depth topics and short papers (4-8 pages) for works in progress on hot topics.

All the papers should be submitted through HPBDC@Linklings.

All papers will be carefully reviewed by at least three reviewers. Papers should not be submitted in parallel to any other conference or journal.

The proceedings of this workshop will be published together with the proceedings of other IPDPS 2020 workshops by the IEEE Computer Society Press. Proceedings of the workshops are distributed at the conference and are submitted for inclusion in the IEEE Xplore Digital Library after the conference. At least one of the authors of each accepted paper must register as a participant of the workshop and present the paper at the workshop, in order to have the paper published in the proceedings.

Camera-Ready Submission

Please check the main conference website.

Important Dates

Abstract submission (optional) deadline :

Paper submission deadline :

Acceptance notification :

Camera-Ready deadline :

Workshop :

January 16th, 2020   Anywhere on Earth

February 1st, 2020
February 14th, 2020   Anywhere on Earth

March 5th, 2020

March 15th, 2020

May 2020

Organizing Committee

Program Chairs

Publicity Chair

Program Committee

Registration and Hotel

The workshop does not have a separate registration. All attendees need to register with the main conference. Details about registration and hotel can be found on the main conference website.


Please check the main conference website.