Connectionists: PAISE 2019: 1st Workshop on Parallel AI and Systems for the Edge

[Felipe Maia Galvao Franca]

PAISE 2019: 1st Workshop on Parallel AI and Systems for the Edge

Held in conjunction with IPDPS, 24th May 2019, Rio de Janeiro, Brazil
http://paise-conf.science http://bit.ly/PAISE2019

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 diversity in edge-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: processing – artificial intelligence,
computer vision, machine learning; management – parallel and distributed
programming models for resource-constrained and domain-specific hardware,
containers, remote resource management, runtime-system design, and
cybersecurity; and 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. 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 & evaluate the
   novelty of the problem.
   -

     Emerging Platforms and Practitioner Reports: Short reports, 3-6 pages
   in length, describing novel hardware & Software platforms, including
   initial proof-of-concept design & implementation.

   List of Topics

   Edge Inference, Hardware for Edge-computing and Machine Learning, Energy
   Efficient Processors for Training and Inference, Computer Vision at the
   Edge, Cyber Security for Edge Computing, Software and Hardware Multitenancy
   at the Edge, Machine Learning Hardware, Blockchains for Edge Computing,
   Programming Models for Edge Computing, Coupling HPC to Edge Applications,
   and Communication and Control Strategies for Deploying and Managing
   Applications at the Edge.

   Important Dates


   -

     Submission deadline: February 1st, 2019
   -

     Notification of acceptance: March 1st, 2019
   -

     Workshop camera-ready papers due: March 11th, 2019


-- 
–––––––––––––––––––––––––––––––
Felipe M. G. França, PhD
Professor of Computer Science and Engineering
Systems Engineering and Computer Science Program, COPPE
Universidade Federal do Rio de Janeiro
P.O. Box 68511, 21941-972, Rio de Janeiro, RJ, Brazil
felipe at ieee.org
felipe at cos.ufrj.br
–––––––––––––––––––––––––––––––
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