CFP

PAISE2020: Parallel AI and Systems for the Edge

Website	http://paise-conf.science/
Submission link	https://easychair.org/conferences/?conf=paise2020
Submission deadline	February 29, 2020

Topics: edge computing artificial intelligence machine learning 5g

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, ASICs) is venturing farther away from the center, closer to the physical world. The resulting diversity in edge-computing hardware in terms of capabilities, architectures, and programming models poses several new challenges.

At the edge, several applications often need to be scheduled concurrently or serially. Some applications may need to be run continuously, a few in anticipation of certain events, whereas others may need to be run when particular events occur, causing a need to unload other applications and dedicate resources to them. Situations may also warrant running applications in sandboxes for privacy, security, and resource allocation reasons. A future with heterogeneous edge hardware and multiple applications sharing the hardware and energy resources is imminent.

Deploying and managing applications at the edge remotely, and building in multienancy to support applications with various resource constraints and runtime requirements, present a challenge that requires cooperation and coordination between the various components of the software stack. Mechanisms need to be devised that communicate both data and control with the applications in order to fine-tune their behavior and change the operational parameters. Coupling these edge applications with centrally located HPC resources and their applications, realizing the computing continuum, also opens up many research areas.

As we push more toward edge-enabled networks of devices, we inherit a setting where resources are deployed away from the safety of secure indoor spaces, often in the midst of a bustling urban canyon, and exposed to physical and cybersecurity threats. Deployed and interconnected predominantly over public networks, these systems have to be designed with cybersecurity as a first-class design citizen, rather than introduced as an afterthought.

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.

Submission Guidelines

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.
Late Breaking Results and Concept Papers: Short papers, 2-3 pages. The authors have the option of having the selected papers published or accepted as non-archival
submissions. The non-archival submissions do not preclude future publication. Previously published work may be submitted under certain circumstances. These papers will be presented as 8-10 min lightning-talks. Please indicate in the end of the paper under what track the submission is intended.
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 29th AOE, 2020: Submission deadline. (Final Extension)
March 11th, 2020: Notification of acceptance.
March 15th, 2020: Camera ready due.
May 22nd, 2020: Workshop!!!

List of Topics

For this workshop we welcome original work covering different aspects of:

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
On device machine learning algorithms
Real-time computer vision and speech processing
Learning-enabled IoT applications
Distributed inferencing and learning
5G for Science and Edge Computing
Programming Models for Edge Computing
Coupling HPC to Edge Applications
Communication and Control Strategies for Deploying and Managing Applications at the Edge

Committees

Program Committee

Chris Adeniyi-Jones, ARM Research, USA
Anish Arora, The Ohio State University, USA
Cristiana Bentes, Universidade do Estado do Rio de Janeiro (UERJ), Brazil
Sergio Armando Gutiérrez Betancur, Universidad de Medellín, Colombia
Prasanna Balaprakash, Argonne National Laboratory, USA
Marco Brocanelli, Wayne State University, USA
Lucy Cherkasova, ARM Research, USA
Charlie Catlett, Argonne National Laboratory, USA
Ren Cooper, Lawrence Berkeley National Laboratory, 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
Sandip Kundu, University of Massachusetts Amherst, USA
Priscila Machado Vieira Lima, Universidade Federal do Rio de Janeiro, Brazil
Leandro Marzulo, Google LLC, USA
Alan Mainwaring, Intel Corporation, USA
Eric Matson, Purdue University, USA
Michael Papka, Northern Illinois University, USA
Dhrubojyoti Roy, The Ohio State University, USA
Mina Sartipi, University of Tennessee at Chattanooga, USA
Koichi Shinoda, Tokyo Institute of Technology, Japan
German Sánchez Torres, Universidad del Magdalena, Colombia
Jerry Trahan, Louisiana State University, USA
Sean Shahkarami, University of Chicago, USA
Weisong Shi, Wayne State University, USA
Ramachandran Vaidyanathan, Louisiana State University, USA
Kazutomo Yoshii, Argonne National Laboratory, USA

Organizing committee

Pete Beckman, Mathematics and Computer Science Division, Argonne National Laboratory, USA, E-mail: beckman@mcs.anl.gov
Rajesh Sankaran, Mathematics and Computer Science Division, Argonne National Laboratory, USA, E-mail: rajesh@mcs.anl.gov

Publication

Proceedings of the PAISE2020 workshop will be distributed at the conference and are submitted for inclusion in IEEE Xplore after the IPDPS2020 conference.

Venue

PAISE 2020 will be held in conjunction with IPDPS 2020 on Friday, 22 May 2020, in New Orleans, USA.

Contact

All questions about submissions should be emailed to rajesh@mcs.anl.gov