[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


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:

    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:

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.


Important Dates:

    * 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:

    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:

    * 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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