Welcome to HPBDC 2015

Managing and processing large volumes of data, or “Big Data”, and gaining meaningful insights is a significant challenge facing the 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, HBase and Spark) 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. Modern HPC systems and the associated middleware (such as MPI and Parallel File systems) have been exploiting the advances in HPC technologies (multi/many-core architectures, RDMA-enabled networking, NVRAMs and SSDs) during the last decade. However, Big Data middleware (such as Hadoop, HBase and Spark) have not embraced such technologies. These disparities are taking HPC and Big Data processing into ‘divergent trajectories’.

International Workshop on High-Performance Big Data Computing (HPBDC), aims to bring HPC and Big Data processing 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 this field.

HPBDC 2015 will be held in conjunction with the 35th International Conference on Distributed Computing Systems (ICDCS 2015), Columbus, Ohio, USA, Monday, June 29th, 2015.

Call For Papers

HPBDC 2015 welcomes original submissions in a range of areas, including but not limited to:

Papers should present original research. As Big Data spans many disciplines, papers should provide sufficient background material to make them accessible to the broader community.

Keynote Speakers

Invited Speakers


Wide Adoption of HPC Techniques in Big Data: Hype or Reality?

The panel will discuss on the following three important questions the Big Data and HPC communities are facing today:

Accepted Papers

Camera-Ready Submission

The camera-ready versions of all accepted papers should be submitted through http://www.ieeeconfpublishing.org/cpir/authorKit.asp?Facility=CPS_June&ERoom=ICDCSW+2015.

The camera-ready deadline and author registration deadline are due on April 30th, 2015.

Submission Info

All submissions should follow the IEEE standard 8.5” x 11” two-column format. Paper submissions should not exceed 8 pages. All the papers should be submitted through https://easychair.org/conferences/?conf=hpbdc2015.

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 ICDCS 2015 workshops by the IEEE Computer Society Press. 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.

Important Dates

Abstract submission (optional) deadline :

Paper submission deadline :

Acceptance notification :

Camera-Ready/Registration deadline :

Workshop :

February 16, 2015
March 9, 2015   Anywhere on Earth

February 23, 2015
March 16, 2015   Anywhere on Earth

March 23, 2015
April 8, 2015

April 30, 2015

June 29, 2015

Organizing Committee

Program Chairs

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.