The 3rd annual International Workshop on High-Performance Big Data Computing (HPBDC) has issued its Call for Papers. Featuring a keynote by Prof. Satoshi Matsuoka from Tokyo Institute of Technology, the event takes place May 29, 2017 in Orlando, FL.
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 analytics on HPC, Cloud, and Grid computing infrastructures
- Emerging hardware and software technologies for Big Data processing and management in HPC and Clouds
- HPC and exascale systems and runtimes for Big Data analytics
- Scheduling and provisioning data analytics on HPC and Cloud infrastructures
- Faul tolerance, reliability, and availability for high-performance Big Data Computing
- Green, energy-efficient Big Data Computing
- Scientific Computing with Big Data
- Case studies of Big Data applications on HPC systems and Clouds
- Streaming data processing architectures and technologies
- High-performance graph processing with Big Data
- SQL and NoSQL data management 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. One outstanding paper will be selected for the Best Paper Award.
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) in Orlando.
Submissions are due January 27, 2017.
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