[hpc-announce] [PAISE-CFP] Deadline Extended Feb 8th: 1st Workshop on Parallel AI and Systems for the Edge (Co-located with IPDPS-2019), Rio de Janeiro, Brazil.
beckman at mcs.anl.gov
Mon Feb 4 11:43:36 CST 2019
CALL FOR PAPER
PAISE 2019: 1st Workshop on Parallel AI and Systems for the Edge
Held in conjunction with IPDPS 2019
Friday, 24 May 2019
Rio de Janeiro, Brazil
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.
For this workshop we welcome original work covering different aspects of:
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:
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.
Here is a link to the EasyChair CFP.
Upload your submission to EasyChair submission server in PDF format. Accepted
manuscripts will be included in the IPDPS workshop proceedings.
* 2359 hours AoE, February 8th, 2019: Submission deadline (extended).
* March 6th, 2019: Notification of acceptance
* March 11th 15th, 2019: Workshop camera-ready papers due
* May 24th, 2019: Workshop!!!
Prasanna Balaprakash, Argonne National Laboratory, USA
Juan Pablo Bello, New York University, USA
Cristiana Bentes, Universidade do Estado do Rio de Janeiro (UERJ), Brazil
John Willian Branch Bedoya, Universidad Nacional de Colombia, Colombia
Sergio Armando Gutiérrez Betancur, Universidad de Medellín, Colombia
Kyle Bingman, Air Force Emerging Technologies Office, USAF, USA
Charlie Catlett, Argonne National Laboratory, USA
Peter Dinda, Northwestern University, USA
Nicolas Erdody, Open Parallel, New Zealand
Felipe M. G. França, Universidade Federal do Rio de Janeiro (UFRJ), Brazil
Nicola Ferrier, University of Chicago, USA
Dennis Gannon, Indiana University Bloomington, USA
Eric Van Hensbergen, ARM Research, USA
Christine Kendrick, City Of Portland, USA
Sandip Kundu, University of Massachusetts Amherst, USA
Priscila Machado Vieira Lima, Universidade Federal do Rio de Janeiro, Brazil
Henrik Madsen, Technical University of Denmark, Denmark
Leandro Marzulo, Google LLC, USA
Alan Mainwaring, Intel Corporation, USA
Eric Matson, Purdue University, USA
Sanjay Padhi, Amazon Web Services, USA
Vivien Rivera, Northwestern University, USA
Koichi Shinoda, Tokyo Institute of Technology, Japan
Michela Taufer, The University of Tennessee, Knoxville, USA
German Sánchez Torres, Universidad del Magdalena, Colombia
Jerry Trahan, Louisiana State University, USA
Juan Rodrigo Sanz Uribe, National Coffee Research Center-Cenicafé, Colombia
Ramachandran Vaidyanathan, Louisiana State University, USA
Kazutomo Yoshii, Argonne National Laboratory, USA
* Peter Beckman, Mathematics and Computer Science Division, Argonne National
Laboratory, USA, E-mail: beckman at mcs.anl.gov<mailto:beckman at mcs.anl.gov>
* Rajesh Sankaran, Mathematics and Computer Science Division, Argonne National
Laboratory, USA, E-mail: rajesh at mcs.anl.gov<mailto:rajesh at mcs.anl.gov>
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