High Performance Computing for Big Data
A special issue of Computers (ISSN 2073-431X).
Deadline for manuscript submissions: closed (31 March 2016) | Viewed by 8196
Special Issue Editor
Interests: cloud computing; grid computing; SLA; applications; high performance computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Big Data is, right now one of the hottest topics in computing research. This is because of:
- the numerous challenges that include (and are not limited to) capture, search, storage, sharing, transfer, representation and privacy of the data;
- and the wide spectrum of areas covered, that range from Bioinformatics to Space Science, and are a research challenge by themselves.
New technologies and algorithms have emerged from Big Data to efficiently manage and process great quantities of data within reasonable elapsed times. However, there are computing barriers that cannot be crossed without the proper resources.
The many ways that High Performance Computing can be delivered for facing Big Data challenges offer a wide spectrum of research opportunities. From FPGAs to cloud computing, technologies and algorithms can be brought to a whole different level and foster incredible insights from massive information repositories.
The papers accepted for publication of the present Special Issue covers both fundamental issues and new concepts related to the application of High Performance Computing to the Big Data area.
Dr. José Luis Vázquez-Poletti
Guest Editor
Manuscript Submission Information
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Keywords
- big data
- high performance computing
- cloud computing
- applications
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