[hpc-announce] CFP: 1st Workshop on Parallel AI and Systems for the Edge (Co-located with IPDPS-2019), Rio de Janeiro, Brazil.
Beckman, Pete
beckman at mcs.anl.gov
Wed Nov 21 09:50:06 CST 2018
CALL FOR PAPERS
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PAISE 2019: 1st Workshop on Parallel AI and Systems for the Edge
http://bit.ly/PAISE2019
http://paise-conf.science
Held in conjunction with IPDPS 2019
Friday, 24 May 2019
Rio de Janeiro, Brazil
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Background:
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Applications involving voluminous data but needing low-latency computation and
local feedback require that the computing be performed as close to the data
source as possible --- often at the interface to the physical world. Communication
constraints and the need for privacy-preserving approaches also dictate the need
for computing at the edge. Given the growth in such application scenarios and
the recent advances in algorithms and techniques, machine learning and inference
at the edge are unfolding and growing at a rapid pace. In support of these
applications, a wide range of hardware (CPUs, GPUs, FPGAs, ASICs) is venturing
farther away from the center, closer to the physical world. The resulting diversity
inedge-computing hardware in terms of capabilities, architectures, and programming
models poses several new challenges.
The goal of this workshop is to gather the community working in three broad areas:
1. processing -- artificial intelligence, computer vision, machine learning;
2. management -- parallel and distributed programming models for
resource-constrained and domain-specific hardware, containers, remote
resource management, runtime-system design, and cybersecurity; and
3. hardware -- systems and devices conducive to use in resource-constrained
(energy, space, etc.) applications.
The workshop will provide a critically needed opportunity to discuss the current
trends and issues, to share visions, and to present solutions.
Topics:
------
For this workshop we welcome original work covering different aspects of:
1.Edge Inference
2.Hardware for Edge-computing and Machine Learning
3.Energy Efficient Processors for Training and Inference
4.Computer Vision at the Edge
5.Cyber Security for Edge Computing
6.Software and Hardware Multitenancy at the Edge
7.Machine Learning Hardware
8.Blockchains for Edge Computing
9.Programming Models for Edge Computing
10.Coupling HPC to Edge Applications
11.Communication and Control Strategies for Deploying and Managing Applications
at the Edge
Paper Submission, Paper Style, and Proceedings:
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All papers must be original and not simultaneously submitted to another journal
or conference. The papers submitted to the workshop will be peer reviewed by a
minimum of 3 reviewers.
The following paper categories are welcome:
* Full Papers: Research papers should describe original work and be 8 or 10
pages in length.
* Short Papers: Short research papers, 4 pages in length, should contain
enough information for the program committee to understand the scope of the
project and evaluate the novelty of the problem or approach.
* Emerging Platforms and Practitioner Reports: Short reports, 3-6 pages in
length, describing novel hardware and Software platforms, including initial
proof-of-concept design and implementation are welcome. Reports may also focus
on a particular aspect of technology usage in practice, or describe broad
project experiences. They may describe a particular design idea, or experience
with a particular piece of technology.
Templates for MS Word and LaTeX provided by IEEE eXpress Conference Publishing
are available for download. See the latest versions here.
https://www.ieee.org/conferences_events/conferences/publishing/templates.html
Here is a link to the EasyChair CFP.
https://easychair.org/cfp/PAISE2019
Upload your submission to EasyChair submission server in PDF format. Accepted
manuscripts will be included in the IPDPS workshop proceedings.
https://easychair.org/conferences/?conf=paise2019
Important Dates:
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* February 1st, 2019: Submission deadline
* March 1st, 2019: Notification of acceptance
* March 11th, 2019: Workshop camera-ready papers due
* May 24th, 2019: Workshop!!!
Program Committee:
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Prasanna Balaprakash, Argonne National Laboratory
Juan Pablo Bello, New York University
Cristiana Bentes, Universidade do Estado do Rio de Janeiro (UERJ), Brazil
John Willian Branch Bedoya, Universidad Nacional de Colombia, Colombia
Kyle Bingman, Air Force Emerging Technologies Office, USAF
Charlie Catlett, Argonne National Laboratory
Peter Dinda, Northwestern University
Nicolas Erdody, Openparallel
Felipe M. G. França, Universidade Federal do Rio de Janeiro (UFRJ), Brazil
Nicola Ferrier, University of Chicago
Dennis Gannon, Indiana University Bloomington
Eric Van Hensbergen, ARM Research
Christine Kendrick, City Of Portland
Sandip Kundu, University of Massachusetts Amherst
Priscila Machado Vieira Lima, Universidade Federal do Rio de Janeiro, Brazil
Henrik Madsen, Technical University of Denmark
Leandro Marzulo, Google LLC
Alan Mainwaring, Intel Corporation
Eric Matson, Purdue University
Sanjay Padhi, Amazon Web Services
Vivien Rivera, Northwestern University
Koichi Shinoda, Tokyo Institute of Technology
Michela Taufer, The University of Tennessee, Knoxville
Jerry Trahan, Louisiana State University
Juan Rodrigo Sanz Uribe, National Coffee Research Center-Cenicafé, Colombia
Ramachandran Vaidyanathan, Louisiana State University
Kazutomo Yoshii, Argonne National Laboratory
Workshop Organizers:
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* Peter Beckman, Mathematics and Computer Science Division, Argonne National
Laboratory, USA, E-mail: beckman at mcs.anl.gov
* Rajesh Sankaran, Mathematics and Computer Science Division, Argonne National
Laboratory, USA, E-mail: rajesh at mcs.anl.gov
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