High Performance Computing for Big Data
HPC4BD 2017
- URL: http://people.sabanciuniv.edu/kaya/hpc4bd
- Event Date: 2017-08-14 ~ 2017-08-14
- Submission Date: 2017-05-01
- Location: Bristol, United Kingdom
Computing Systems Data Mining & Analysis Databases & Information Systems
Scope and Topics of Interest: Processing large datasets for extracting information and knowledge has always been a fundamental problem. Today this problem is further exacerbated, as the data a researcher or a company needs to cope with can be immense in terms of volume, distributed in terms of location, and unstructured in terms of format. Recent advances in computer hardware and storage technologies have allowed us to gather, store, and analyze such large-scale data. However, without scalable and cost effective algorithms that utilize the resources in an efficient way, neither the resources nor the data itself can serve to science and society at its full potential.
Analyzing Big Data requires a vast amount of storage and computing resources. We need to untangle the big, puzzling information we have and while doing this, we need to be fast and robust: the information we need may be crucial for a life-or-death situation. We need to be accurate: a single misleading information extracted from the data can cause an avalanche effect. Each problem has its own characteristic and priorities. Hence, the best algorithm and architecture combination is different for different applications.
This workshop aims to bring people who work on data-intensive and high performance computing in industry, research labs, and academia together to share their problems posed by the Big Data in various application domains and knowledge required to solve them.
All novel data-intensive computing techniques, data storage and integration schemes, and algorithms for cutting-edge high performance computing architectures which targets the utilization of Big Data are of interest to the workshop. Examples of topics include but not limited to
- parallel algorithms for data-intensive applications,
- scalable data and text mining and information retrieval,
- using Hadoop, MapReduce, Spark, Storm, Streaming to analyze Big Data,
- energy-efficient data-intensive computing,
- deep-learning with massive-scale datasets
- querying and visualization of large network datasets,
- processing large-scale datasets on clusters of multicore and manycore processors, and accelerators,
- heterogeneous computing for Big Data architectures,
- Big Data in the Cloud,
- processing and analyzing high-resolution images using high-performance computing,
- using hybrid infrastructures for Big Data analysis.
PC Members:
- Sameh Abdullah, KAUST
- Mehmet Deveci, Sandia National Laboratories
- Tahsin Kurç, Stony Brook University
- Siva Rajamanickam, Sandia National Laboratories
- A. Erdem Sarıyüce, Sandia National Laboratories
- Erik Saule, University of North Carolina Charlotte
- Robert Soule, University of Lugano
- Oğuz Kaya, ENS Lyon, INRIA
- Mahantesh Halappanavar, Pacific Northwest National Laboratory
- Hongyang Sun, Vanderbilt University
- Ata Türk, Boston University
- Bora Uçar, CNRS and LIP, ENS Lyon
Important Dates
- Submission deadline: May 1, 2017
- Notification deadline: May 21, 2017
- Camera ready deadline: May 26, 2017
- Workshop date: August 14, 2017
Submission information: Paper submissions should be formatted according to the IEEE standard double column format with a font size of 10 pt or larger and a maximum of 10 letter size (8.5’’ x 11’’) pages. Submissions should represent original research results and may not already be under review or accepted for publication in another venue.
Proceedings & Policies: Proceedings of the conference and workshops will be submitted to IEEE Xplore. All papers must have a full (non-student) registration associated with it. Authors must register by mid-June for their papers to appear in the proceedings. An accepted paper that is not presented will be excluded from the final proceedings.
Papers can be submitted via EasyChair:
https://easychair.org/conferences/?conf=hpc4bd2017
Workshop Co-Chairs:
Kamer Kaya, Sabancı University, Turkey
Email: kaya@sabanciuniv.edu
Buğra Gedik, Bilkent University, Turkey
Email: bgedik@cs.bilkent.edu.tr
Ümit Çatalyürek, Georgia Tech, USA
Email: umit@gatech.edu
Journal Promotion
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| Acta Koreana (Acta Koreana) |
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| Acta Via Serica (AVS) |
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| Computers and Concrete (CAC) |
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| Journal of Information Processing Systems (JIPS) |
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| Journal of Internet Computing and Services (KSII - JICS) |
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| Journal of Smart Tourism (Smart Tourism) |
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| Membrane and Water Treatment (MWT) |
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| Wind and Structures, An International Journal (Wind and Structures) |
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