Welcome to HPBDC 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.

Call For Papers

HPBDC 2017 welcomes original submissions in a range of areas, including but not limited to:

High-performance Big Data analytics frameworks, programming models, and tools
Performance optimizations for Big Data systems and applications with HPC technologies (multi/many-core architectures, accelerators, RDMA-enabled networking, NVRAMs and SSDs)
High-performance in-memory computing technologies and abstractions
Performance modeling and evaluation for emerging Big Data Computing technologies
Big Data on HPC, Cloud, and Grid computing infrastructures
Fault tolerance, reliability and availability for high-performance Big Data Computing
Green Big Data Computing
Scientific Computing with Big Data
Streaming data processing architectures and technologies
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

TBD
Panel

Sunrise or Sunset: Exploring the Design Space of Big Data Software Stack

Panel Moderator: Prof. Jianfeng Zhan, Institute of Computing Technology, Chinese Academy of Sciences, China
Panel Members: TBD
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.

Long papers: 8-10 pages, with a full problem description, background and related work, design, and evaluation.
Short papers: 4-8 pages, for works in progress on hot topics.
All the papers should be submitted through TBD.

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 : January 10th, 2017 Anywhere on Earth

Paper submission deadline :January 17th, 2017 Anywhere on Earth

Acceptance notification : February 17th, 2017

Camera-Ready deadline : March 1st, 2017

Advance Registration deadline :TBD

Workshop : May 29th, 2017


Organizing Committee

Program Chairs
Xiaoyi Lu, The Ohio State University
Jianfeng Zhan, Institute of Computing Technology, Chinese Academy of Sciences, China
Dhabaleswar K. (DK) Panda, The Ohio State University
Program Committee
TBD
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.

VISA

Please check the main conference website.