Workshop on BIG DATA & DEEP LEARNING in HIGH PERFORMANCE
COMPUTING
(
https://sbac2020.dcc.fc.up.pt/bdl2020/)
in conjunction with the IEEE 32nd International Symposium on
Computer Architecture and High
Performance Computing (SBAC-PAD 2020)
(
https://sbac2020.dcc.fc.up.pt/)
September 9, 2020, Porto, Portugal
The city of Porto is famous for its Port wine and beautiful
scenery, architecture and cultural events.
Portugal has again been awarded the best European Tourist
Destination by the World Travel Awards, the Oscars equivalent in the field of tourism.
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WORKSHOP ON BIG DATA & DEEP LEARNING IN HIGH PERFORMANCE
COMPUTING
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The number of very large data repositories (big data) is
increasing in a rapid pace.
Analysis of such repositories using the "traditional" sequential
implementations of ML
and emerging techniques, like deep learning, that model high-level
abstractions in data
by using multiple processing layers, requires expensive
computational resources and long
running times. Parallel or distributed computing are possible
approaches that can make
analysis of very large repositories and exploration of high-level
representations
feasible. Taking advantage of a parallel or a distributed
execution of a ML/statistical
system may: i) increase its speed; ii) learn hidden
representations; iii) search a larger
space and reach a better solution or; iv) increase the range of
applications where it can
be used (because it can process more data, for example). Parallel
and distributed
computing is therefore of high importance to extract knowledge
from massive amounts of
data and learn hidden representations.
The workshop will be concerned with the exchange of experience
among academics, researchers
and the industry whose work in big data and deep learning require
high performance
computing to achieve goals. Participants will present recently
developed algorithms/systems,
on going work and applications taking advantage of such parallel
or distributed environments.
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LIST OF TOPICS
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All novel data-intensive computing techniques, data storage and
integration schemes, and
algorithms for cutting-edge high performance computing
architectures which targets Big Data
and Deep Learning 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.
- New algorithms for parallel/distributed execution of ML systems;
- applications of big data and deep learning to real-life
problems.
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KEY DATES
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Deadline for paper submission: May 25, 2020
Author notification: July 1, 2020
Camera-ready version of papers: July 25, 2020
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SUBMISSION
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We invite authors to submit original work to BDL. All papers will
be peer reviewed and accepted papers
will be published in IEEE Xplore.
Submissions must be in English, limited to 8 pages in the IEEE
conference format (see
https://www.ieee.org/conferences/publishing/templates.html)
All submissions should be made electronically through the
EasyChair system:
https://easychair.org/conferences/?conf=bdl2020
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REGISTRATION
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A full registration to the workshop and presentation are needed in
order to have your paper included
in the workshop proceedings.
The Workshop fee is 300 euros.
Registration system available in
https://sbac2020.dcc.fc.up.pt/bdl2020/registration.html
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VENUE
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Department of Computer Science, Faculty of Sciences, University of
Porto
Rua do Campo Alegre 1021/1055
4169-007 Porto, Portugal
The city of Porto is famous for its Port wine and beautiful
scenery, architecture and cultural events.
Portugal has again been awarded the best European Tourist
Destination by the World Travel Awards, the Oscars equivalent
in the field of tourism.
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ORGANIZATION
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Carlos Ferreira (LIAAD - INESC TEC LA and Polytechnic Institute of
Porto)
João Gama (LIAAD - INESC TEC LA and University of Porto)
Albert Bifet (Telecom ParisTech)
Miguel Areias (CRACS - INESC TEC LA and University of Porto)
Rui Camacho (LIAAD -INESC TEC LA and University of Porto)