HPC4BD, Bristol, United Kingdom



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

  1. parallel algorithms for data-intensive applications,

  2. scalable data and text mining and information retrieval,

  3. using Hadoop, MapReduce, Spark, Storm, Streaming to analyze Big Data,

  4. energy-efficient data-intensive computing, 

  5. deep-learning with massive-scale datasets

  6. querying and visualization of large network datasets,

  7. processing large-scale datasets on clusters of multicore and manycore processors, and accelerators,

  8. heterogeneous computing for Big Data architectures,

  9. Big Data in the Cloud,

  10. processing and analyzing high-resolution images using high-performance computing,

  11. using hybrid infrastructures for Big Data analysis.

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.

The papers can be submitted from here

Proceedings & Policies: Proceedings of the conference and workshops will be available at the conference and will be submitted to IEEE Xplore and CSDL and submitted for EI indexing.

Author Registration Policy: All papers in the main conference and workshops must have a full (non-student) registration associated with them.

- Authors presenting multiple papers would pay an "Additional Paper Fee" of US$200 for each extra paper.

- Authors must register by 30 June 2017 for their papers to appear in the proceedings.

- Your registration will allow you to attend both the conference and workshop sessions, the reception, the banquet, and coffee breaks.

Invitation Letters for Visa Applications: Invitation letters will only be issued to attendees who have paid their registration fees in full and are eligible to travel to the United Kingdom. Attendees will need to check locally (for their country of origin-citizenship) to determine the visa requirements for travel to the United Kingdom and whether they require an invitation letter from the conference. If you require an invitation letter, when you have completed your registration and paid your fees please complete the information requested in the Request for Visa Assistance form on the ICPP webpage and email it to Workshop Co-Chairs.

No-show Policy: An accepted paper that is not presented in the conference will be excluded from the final proceedings submitted to IEEE Xplore and CSDL.




Workshop on




for Big Data

to be held in conjunction with the 46th International Conference on Parallel Processing (ICPP), August 14-17, 2017.


Kamer Kaya, Sabanci University

Buğra Gedik, Bilkent University

Ümit V. Çatalyürek, Georgia Tech.

Program Committee

Sameh Abdullah


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


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
                Extended: May 8, 2017
Notification deadline:  May 21, 2017
Camera ready deadline: May 26, 2017
Workshop date: August 14, 2017

Please see the schedule here.