During the past few decades, there has been considerable evolution in the innovations in hardware architectures as the multi-core parallel machines or MIC (Many Integrated Cores) and the progress in the field of parallelism and techniques used to managing and processing Big Data. Processing large datasets for extracting information and knowledge has always been a fundamental problem. Today this problem is further exacerbated, and the sequential resolution is unable to find solutions in a reasonable time. However, parallelization in this context seeks to exploit the massive computing resources increasingly available on the multicore computers. The interplay between cores and architectures dramatically complicates the design of new approaches towards the parallelization of new frameworks that are central to achieving optimal performance.
The Workshop on High Performance Big Data Computing provides a platform for the dissemination of recent research efforts that explicitly aim at addressing these challenges. It supports the presentation of solutions for a modern HPC systems and the associated middleware which have been exploiting the advances in HPC technologies. It also support the new approach used to address the Big Data problems in cloud infrastructure.
The High Performance Big Data Computing workshop calls for contributions that address fundamental research and system issues in High Performance Big Data Computing including but not limited to the following: :
Submissions due: April 15th, 2017
Notification of acceptance: May 10th, 2017
Camera-ready papers due: June 10th, 2017
All papers should be of up to 8 pages including all figures, tables, and references. Papers need to be prepared according to the IEEE CPS format via IEEE Manuscript Templates for Conference Proceedings. All accepted workshop papers will be included in the proceedings published by IEEE-CS Conference Publishing Services. The papers should be submitted through the Easychair conference management system. Please note that when submitting papers you have to choose the track: Workshop on High Performance Big Data Computing (WHPBDC). Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers will be removed from the digital libraries of IEEE CS after the conference.
High-quality papers will be invited, after consolidation, to be published in special issues of appropriate international journals.
General Workshop Chair
Dr. Tarek Menouer