[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, Pete beckman at mcs.anl.gov
Mon Feb 4 11:43:36 CST 2019



 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:

* 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!!!

 Program Committee:

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

 Workshop Organizers:

 * 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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