The 3rd IEEE International Workshop on High-Performance Big Data Computing
In Buena Vista Palace Hotel, Orlando, Florida USA, Monday, May 29th, 2017
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 on 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, accelerators, 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 on major and emerging topics in this field.
HPBDC 2017 will be held in conjunction with the 31st IEEE International Parallel and Distributed Processing Symposium (IPDPS 2017), Orlando, Florida USA, Monday, May 29th, 2017.
HPBDC 2017 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. One outstanding paper will be selected for the Best Paper Award.
Cisco has generously offered to sponsor the Best Paper Award. This award will be given to the author(s) of the paper selected by the Technical Program Committee and the Program Chairs. The award will be determined from viewpoints of the technical and scientific merits, impact on the science and engineering of the research work and the clarity of presentation of the research contents in the paper.
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 https://easychair.org/conferences/?conf=hpbdc2017.
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 2017 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.
Abstract submission (optional) deadline :
Paper submission deadline :
Acceptance notification :
Camera-Ready deadline :
Advance Registration deadline :
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.