[FOSDEM] [devroom-managers] [ANN] HPC, Big Data, and Data Science Devroom CfP
Vasiliki Kalavri
vasia at apache.org
Wed Oct 19 12:38:56 CEST 2016
Hello everyone,
please find below the FOSDEM'17 HPC, Big Data, and Data Science Devroom
Call for Participation.
Cheers,
-Vasia.
=======================================
FOSDEM'17 HPC, Big Data, and Data Science Devroom Call for Participation
Saturday, February 4, 2017, Brussels, Belgium
Also available here: <https://hpc-bigdata-fosdem17.github.io>
# Overview
We are proud to announce the 2nd edition of the HPC, Big Data and Data
Science
devroom, co-located with FOSDEM 2017. FOSDEM is an annual conference about
free
and open source software, attended by over 5000 developers and open-source
enthusiasts from all over the world. This devroom is organised by
representatives
from the HPC and Big Data communities, who are joining forces to bring both
communities together.
High Performance Computing (HPC) and Big Data are two important
approaches
to scientific computing. HPC typically deals with smaller, highly
structured
data sets and huge amounts of computation while Big Data, not
surprisingly,
deals with gigantic, unstructured data sets and focuses on the I/O
bottlenecks. With the Big Data trend unlocking access to an
unprecedented
amount of data, Data Science has emerged to tackle the problem of
creating
processes and approaches to extracting knowledge or insights from these
data
sets. Machine learning and predictive analytics algorithms have joined
the
family of more traditional HPC algorithms and are pushing the
requirements
of cluster and data scalability.
Free and Open Source communities have been the foundation of the HPC
and Big
Data communities for some time. In the HPC community, it should be no
surprise that 497 of the Top500 supercomputers in the world run Linux.
On
the Big Data side, the Hadoop ecosystem has had a tremendous amount of
Open
Source contributions from a wide range of organizations coming together
under the Apache Software Foundation.
Our goal is to bring the communities together, share expertise, learn
how we
can benefit from each other’s work and foster further joint research and
collaboration. We welcome talks about Free and Open Source solutions to
the
challenges presented by large scale computing, data management and data
analysis.
The devroom will take place on Saturday, February 4th, 2017, at ULB (Campus
Solbosch), in Brussels, Belgium. Join us to enjoy a full day of talks,
demos and
interesting discussions on open-source HPC, Big Data and Data Science.
Sounds interesting? Submit your talk proposal below and see you in Brussels!
# Topics
Topics of interest include, but are not limited to:
Architecture and design of High Performance Computing (HPC) and Big Data
systems
Architecture and design of Extract, Transform and Load (ETL) and data
acquisition pipelines
Data security and governance
Tools and technologies related to HPC and computational science, for
example:
Multithreading (OpenMP, etc.)
Distributed computing (MPI, etc.)
GPGPU computing (OpenCL, OpenACC, etc.)
Parallel filesystems and storage
Large-scale performance analysis and debugging
Computational paradigms for Big Data systems
MapReduce engines
Streaming engines
SQL engines
Dataflow engines
Emerging hardware trends of large scale clusters
Large scale memory pooling
High-speed interconnects
ARM cluster architecture
System administration of HPC and Big Data clusters
User support tools
Machine learning libraries and tools
Scientific software applications, tools and libraries (across all
scientific
domains)
Big Data platforms, extensions to existing systems, libraries, APIs
Experience reports on using Big Data systems, for example:
Large-scale deployments
Development and configuration issues
Tuning and performance tips and lessons learned
Interesting Big Data use-cases and applications
Comparative analysis of existing systems, evaluation results,
performance
studies
Interdisciplinary HPC/Big Data use-cases, for example:
Applications using both HPC and Big Data technologies
Integration issues
Open research problems on the convergence of HPC and Big Data
Running MPI jobs on Big Data clusters and vice-versa
# Submission
We invite presenters to submit talk proposals to present high-quality work
with
sufficient background material to be clear to the HPC, Big Data, and/or Data
Science communities. Talk proposals should be submitted through the FOSDEM
Pentabarf server. Submissions must include:
Abstract
Session type
Session length
Expected prior knowledge / intended audience
Speaker bio
Links to code / slides / material for the talk (optional)
Links to previous talks by the speaker
Our intention is to have a full day of talks of about 20 minutes each, with
an
additional 5 minutes for questions by attendees.
We would also like to note:
Talks will be streamed live and will be recorded. By submitting a
session,
speakers agree to being recorded and having their talk made available.
All accepted talks will be about (using) free and open source software.
We
highly discourage “marketing” talks.
Submit here: <https://penta.fosdem.org/submission/FOSDEM17>
When submitting your talk in Pentabarf, make sure to select the ‘HPC, Big
Data,
and Data Science Devroom’ as the ‘Track’.
If you already have a Pentabarf account from a previous FOSDEM edition,
please
reuse it. Create an account if, and only if, you don’t have one from a
previous
year. If you have any issues with Pentabarf, do not despair: contact
hpc-bigdata-devroom [at] lists.fosdem.org.
# Dates
Call for participation available: Wednesday 19 October 2016
Call for participation closes: *Friday 2 December 2016* (there will be no
extensions to the deadline!)
Devroom schedule available: 16 December 2016
Devroom date: Saturday 4 February 2017
# Organizers
Ewan Higgs - Western Digital
Kenneth Hoste - HPC team at Ghent University
Roman Shaposhnik - Pivotal
Vasia Kalavri - KTH Royal Institute of Technology (KTH)
Please email hpc-bigdata-devroom at lists.fosdem.org with questions or
concerns.
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