Dear Colleagues.
I'm glade to announce the major release of SARL version 0.11 (
www.sarl.io).SARL is a statically-typed agent-programming language.
SARL aims at providing the fundamental abstractions for dealing with
concurrency, distribution, interaction, decentralization, reactivity,
autonomy and dynamic reconfiguration for multiagent systems.
In addition to the traditional bug fixes, four major changes are
available, and are briefly explained below.
1. Janus version 3Janus is the official SARL run-time environment (aka.
SARL virtual machine). This release of SARL provides a MAJOR NEW
IMPLEMENTATION of Janus with its version 3.
In the past, the change from version 1 to version 2 was due to a total
re-implementation of Janus in order to follow and support the SARL
metamodel. This time, Version 3 of Janus is a total re-implementation
with the SARL language, i.e. we have written the code with SARL not
anymore with Java.
The major benefits of the new implementation with the SARL language
are: * Direct usage of the SARL concepts and statements;
* Ability to generate the same SRE to different target platforms
(Java, Python, etc.);
* Proof-of-concept related to the capabilities of the SARL language to
cover complex application’s implementation.
In addition to the total re-implementation with SARL language, the
software architecture of Janus was re-thinking and optimized in order
to improve the global run-time performances of the SRE, and to be more
modular in order to extend modules of Janus with new third-party
modules (based on Bootique modules).
2. New types of participants in spacesFrom the SARL metamodel, spaces
are entities in which the agents are able to interact or communicate.
The agents that are part of a space are named participants.
From our experience during the past years, different types of
participants may be involved into a space. First, the agents constitute
the largest part of these participants. Second, external software, such
as an graphical user interface (GUI), may have to listen for events or
emit them into a space in order to setup an interaction with the
agents.
Nevertheless, having only a single type of participant defined causes
issues into the SARL run-time environment (SRE) when it is time to
decide if a space should be destroyed or not. Indeed, the SRE is in
charge of destroying the spaces when they are not used anymore (usually
when there is no more agent inside).
A problem occurs when all the agents have leaved the space, and only
GUI remain. In this case, the SRE was not able to detect this case and
to destroy the space. This issue could be seen because the SRE never
stops to run, even when all the agents were killed.
In order to solve this issue, two types of participants are defined:
* Strong Participant: it corresponds to the regular meaning of a
participant (and the default one). When a strong participant is
involved into a space, the SRE cannot destroy the space. Typical strong
participants are the application agents.
* Weak Participant: it is a participant that is considered as optional
by the SRE. In order words, when a space has only weak participants, it
is considered as releasable by the SRE. Typical weak participants are
GUI objects.
Whatever the type of participant, they have the same level of abilities
for using the space. For example, in the case of an event space, the
strong and weak participants have all the abilities to emit events, and
receive them.
3. New agent spawning APIThe spawning functions of the agents have
encountered a big change: they are not replying anymore the unique
identifier of the just spawned agents. Now, the spawning functions
return void.
This change was forced by the need to execute in parallel the different
spawning processes when multiple agents are spawned at the same time.
In this case, it is almost impossible to retreive the unique
identifiers of the agents before returning from the spawning function.
4. New tool for SARL contributors: an Eclipse DSL with embedded SARLIn
past, it was not so easy to install and set-up an complete and working
development environment for the SARL contributors. It was due to the
usage of different technologies such as Eclipse DSL, Java, Maven and
Xtext.
In order to have a ready-to-use environment, as much as possible, a
specific Eclipse product is now available into the SARL project: sarl-
dsl. This new product includes: * Regular Eclipse framework for domain
specific language implementation, that includes:
1. Eclipse environment,Java development environment,Maven
integration into Eclipse, andXtext libraries;
* SARL compiler integration into Eclipse;
* Janus run-time environment;
* Eclipse Checkstyle.
Enjoy SARL 0.11!
--
Laboratoire Connaissance et Intelligence Artificielle Distribuées
CIAD UMR 7533
Prof. Dr. Stéphane GALLAND
Full Professor of Computer Science and Multiagent Systems
Deputy Director of CIAD
French Head of ARFITEC ARF-17-10 "Energy, Transport, Industry, Challenges for tomorrow"
Senior member of the Multiagent Group
Member of AFIA
Université de Technologie de Belfort-Montbéliard - UBFC
13, rue Ernest Thierry-Mieg
90010 Belfort Cedex, FRANCE
CIAD Lab: www.ciad-lab.fr
Web: www.ciad-lab.fr/author-10836
Phone: +33 384 583 418 (work office)
Mobile: +33 662 274 442 (private)
Dear Colleague,
Apologies if you receive multiple copies of this announcement.
Please kindly help forward it to potentially interested authors/attendees.
The 6th International Conference on Machine Learning, Optimization, and
Data Science – July 19-23, 2020 – Certosa di Pontignano, Siena – Tuscany,
Italy
An multidisciplinary Conference: Machine Learning, Optimization, Big Data &
Artificial Intelligence without Borders
From 2015, the LOD Conference brings academics, researchers and industrial
researchers together in a unique multidisciplinary community to discuss the
state of the art and the latest advances in the integration of machine
learning, optimization and data science to provide the scientific and
technological foundations for interpretable, explainable and trustworthy AI
adopting, from 2017, the Asilomar AI Principles.
The 6th Annual Conference on machine Learning, Optimization and Data
science (LOD) is a international conference on machine learning,
computational optimization, data science that includes invited talks,
tutorial talks, special sessions, industrial tracks, demonstrations and
oral and poster presentations of refereed papers.
The International Conference on Machine Learning, Optimization, and Data
Science (LOD) has established itself as a premier interdisciplinary
conference in machine learning, computational optimization and data
science. It provides an international forum for presentation of original
multidisciplinary research results, as well as exchange and dissemination
of innovative and practical development experiences.
We invite submissions of papers, abstracts, posters and demos on all topics
related to Machine learning, Optimization and Data Science including
real-world applications for the Conference proceedings – Springer Lecture
Notes in Computer Science.
LOD 2020 an On-Site & On-Line Conference!
After numerous discussions, we have concluded that holding the event this
year in mixed form both in presence (like previous editions) and virtual is
more advantageous than postponing it until next year.
In order to accommodate a large number of situations and constraints, we
are offering the option for either physical presence or virtual
participation. We would be delighted if all authors and participants manage
to attend, but are aware that special circumstances are best handled by
having flexible options.
The Conference, hence, will be held in presence with virtual rooms for
authors and participants using remote connection (e.g., Zoom or MS Teams).
The online lectures (e.g., live presentations and/or recorded ones) will
be made possible.
W: https://lod2020.icas.xyz
E: lod(a)icas.cc
EC: https://easychair.org/conferences/?conf=lod2020
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News: https://lod2020.icas.xyz/category/news/
Important Date:
* Paper Submission Deadline: June 4 – Anywhere on Earth.
* Early Registration: June 30
KEYNOTE SPEAKERS:
* Pierre Baldi, University of California Irvine, USA
Talk: TBA
* Yoshua Bengio, Université de Montréal, Canada - A.M. Turing Award 2018
LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July
19
Talk: TBA
* Nando de Freitas, Google DeepMind, London, UK & Oxford University, UK
Talk: TBA
* Marco Gori, University of Siena, Italy
Talk: TBA
* Marta Kwiatkowska, University of Oxford, UK
Talk: TBA (online talk)
* Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for
Intelligent Systems, Germany
Talk: Machine Learning of Robot Skills (online talk)
* Panos Pardalos, University of Florida, USA
Talk: Inverse Combinatorial Optimization Problems
* Tomaso Poggio, MIT, USA
LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July
19
Talk: TBA
* Raniero Romagnoli, Almawave, Italy
Talk: NLP for Close Domain Applications with Real World Data: an hybrid
approach to jointly leverage prior domain knowledge, reasoning techniques
and deep learning
* Cristina Savin, Center for Neural Science, New York University, USA
LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July
19
Talk: TBA
* Tali Tishby, The Hebrew University, Israel
LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July
19
Talk: TBA
More Keynote Speakers Coming soon!
Tutorial Speakers
* Chip Huyen, Stanford University, USA
4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research"
* Vincenzo Sciacca, Almawave, Italy
Tutorial on "Natural Language Processing and Deep Learning"
More Tutorial Speakers Coming soon!
SATELLITE WORKSHOPS
I) Satellite Workshop on "Biologically Plausible Learning" on July 19
https://lod2020.icas.xyz/workshop-on-biologically-plausible-learning/
Chair: Marco Gori, University of Siena, Italy
Keynote Speaker:
* Pierre Baldi, University of California Irvine, USA
* Yoshua Bengio, Université de Montréal, Canada - A.M. Turing Award 2018
* Tomaso Poggio, MIT, USA
* Cristina Savin, Center for Neural Science, New York University, USA
* Tali Tishby, The Hebrew University, Israel
Paper Submission Deadline: June 4 – Anywhere on Earth.
https://easychair.org/conferences/?conf=lod2020
II) Workshop on “Integrative Machine Learning”
Chair: Marco Gori, University of Siena, Italy
https://lod2020.icas.xyz/workshop-on-integrative-machine-learning/
Paper Submission Deadline: June 4 – Anywhere on Earth.
https://easychair.org/conferences/?conf=lod2020
SPECIAL SESSIONS:
https://lod2020.icas.xyz/special-sessions/
* Big data in Economics and Finance
Organized by the Big Data and Forecasting of Economic Developments project
(bigNOMICS) of the Centre for Advanced Studies of the European Commission,
Joint Research Centre.
Chairs: Sergio Consoli, Luca Barbaglia, Luca Tiozzo Pezzoli
* Industrial Session
Chairs: Vincenzo Sciacca – Almawave, Giovanni Giuffrida – Neodata.
* Special Session on Explainable Artificial Intelligence
Explainability is essential for users to effectively understand, trust, and
manage powerful artificial intelligence applications.
https://robotics.sciencemag.org/content/4/37/eaay7120
* Multi-Objective Optimization (MOO) & Multi Criteria Decision Aiding (MCDA)
* The 7 Special Sessions on Machine Learning
Multi-Task Learning
Reinforcement Learning
Deep Learning
Generative Adversarial Networks
Deep Neuroevolution
Networks with Memory
Learning from Less Data and Building Smaller Models
* The 7 Special Session on Data Science and Artificial Intelligence
Simulation Environments to understand how AI Systems Learn
Chatbots and Conversational Agents
Data Science at Scale & Data in the Cloud
Urban Informatics & Data-Driven Modelling of Complex Systems
Data-centric Engineering
Data Security, Traceability of Information & GDPR
Economic Data Science
Special Session Paper Submission Deadline: June 4 – Anywhere on Earth.
https://easychair.org/conferences/?conf=lod2020
BEST PAPER AWARD
Springer sponsors the LOD 2020 Best Paper Award with a cash prize of 1,000
Euro.
https://lod2020.icas.xyz/best-paper-award/
PROGRAM COMMITTEE
500+ confirmed PC members! Breaking the record of the last edition of LOD!
https://lod2020.icas.xyz/program-committee/
BIG DATA CHALLENGE
Our sponsor, Neodata Lab, will offer a prize of €2000 to the applicant who
develops the most accurate algorithm to process the following problem.
https://lod2020.icas.xyz/lod-2020-challenge/
See you in Siena next July!
Best regards,
LOD 2020 Organizing Committee
W: https://lod2020.icas.xyz
E: lod(a)icas.cc
EC: https://easychair.org/cfp/LOD2020
FB: https://www.facebook.com/groups/2236577489686309/
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News: https://lod2020.icas.xyz/category/news/
* Apologies for multiple copies. Please forward to anybody who might be
interested *
Past Editions
https://lod2020.icas.xyz/past-editions/
**********************************************************************
We apologize if you received multiple copies of this message
Please feel free to distribute it to those who might be interested
**********************************************************************
HiPC 2020 VIRTUAL CONFERENCE - REVISED TIMELINE
*********************************************************************
IEEE International Conference on High Performance Computing, Data, and
Analytics (HiPC) serves as a forum to present current work by
researchers from around the world as well as highlight activities in
Asia in the areas of high performance computing and data science. The
meeting focuses on all aspects of high performance computing systems,
and data science and analytics, and their scientific, engineering, and
commercial applications.
Due to the COVID-19 pandemic, the 27th edition of HiPC - HiPC 2020
will be held VIRTUALLY this year. The registration fees for authors
will be reduced and details regarding the same will be communicated
later. We are also working with the sponsors to offer complimentary
access to the online publications as well as the virtual meeting.
The updated timeline for HiPC 2020 is as follows:
Abstract Registration: July 1, 2020
Paper Submission Deadline: July 8, 2020
Rebuttal Period: August 31 - September 2, 2020
Decisions Communicated: September 15, 2020
Deadline for Revised Papers: October 10, 2020
Final Notifications: October 25, 2020
Camera Ready Due: November 10, 2020
For more details, please visit: https://hipc.org/
Call for Papers can be found at https://hipc.org/call-for-papers/
Dear Sir, dear Madam,
Please, can you pass this announcement also to interested colleagues.
Kind regards
==========================================================================
CALL FOR PAPERS
The 7th Special Session on High Performance Computing for Application
Benchmarking and Optimization (HPBench 2020)
As part of the International Conference on High Performance Computing &
Simulation (HPCS 2020) http://hpcs2020.cisedu.info/ or
http://conf.cisedu.info/rp/hpcs20
Barcelona, Spain
==========================================================================
Benchmarking is an essential aspect of modern high performance computing
and computational science, and as such, it provides a means for quantifying
and comparing the performance of different computer systems. With a
large combination of aspects to benchmark, all the way from the capability
of a single core, to cluster configuration, and to various software
configurations, the benchmarking process is more of an art than science.
However, the results of this process drive modern science and are vital for
the community to draw sensible conclusions on the performance of
applications and systems. This special session focuses on research work
aimed at benchmarking modern parallel and distributed systems for
addressing a number of real world problems. As such, contributions
concerning the definition of new open platforms, new benchmarks to match
modern architectural evolutions, studies on the aspects of benchmarking
different aspects of systems (from raw runtime performance to energy
consumption to energy consumed per data movement) and mathematical
foundations of benchmarking are sought.
IMPORTANT DATES :
Papers Due: 1 July 2020
Author Notification: 22 July 2020
Camera-Ready Submission: 10 August 2020
Conference Dates: 26-30 October 2020
TOPICS :
The HPBench topics of interest include, but are not limited to
-Open Platforms for Parallel and Distributed Application Benchmarking and
Optimization
-Benchmarking on the Cloud
-Benchmarking of Clusters, Supercomputers, and large-scale systems
-Benchmarking the Performance of I/O
-Benchmarking of Energy and Energy Efficiency
-Benchmarking Web Services
-Virtualization for Distributed Benchmarking
-Data Distribution for Benchmarking
-Performance results of benchmarks on modern platforms
-Scalability Aspects of Benchmarking Parallel Applications on Parallel and
Distributed Systems
-Benchmarking of Parallel Scientific and Business Applications
-Performance of Benchmarking Applications (Eg: NAS parallel benchmarks)
-Techniques, frameworks and results concerning the benchmarking of library
packages
-Tools and frameworks for performance modeling systems and applications
-Tools and frameworks for simulation, measurement and monitoring
-Performance Measurements, Monitoring, Modeling and Simulation
-Domain-specific benchmarks and applications (such as image processing,
pattern recognition, cryptography, biometrics, differential equation
solvers, signal processing and alike)
-Mathematical Foundations of Benchmarking, Metrics and Heuristics
GENERAL CHAIRS :
Samar Aseeri, King Abdullah University of Science and Technology, Saudi
Arabia
Luigi Iapichino, Leibniz Supercomputing Centre (LRZ), Germany
TECHNICAL PROGRAM COMMITTEE:
Cosimo Anglano, Universitá del Piemonte Orientale, Italy
Fabio Baruffa, Intel, Germany
Suren Byna, Lawrence Berkeley National Laboratory, California, USA
Paul Carpenter, Barcelona Supercomputing Center, Spain
Douglas Doerfler, Lawrence Berkeley National Laboratory, USA
Zhiyi Huang, University of Otago, New Zealand
Clay Hughes, Sandia National Laboratories, USA
Aleksandar Ilic, Universidade de Lisboa, Portugal
Bok Jik Lee, Seoul National University, Korea
Ravi Reddy Manumachu, University College Dublin, Ireland
Dana Petcu, West University of Timisoara, Romania
Ivan Rodero, Rutgers University, USA
*********************************************************************
For more information see
http://conf.cisedu.info/rp/hpcs20/2-conference/special-sessions/session02-h…
Kind Regards
--
Samar Aseeri, PhD
Computational Scientist
Extreme Computing Research Center (ECRC)
Building 1 -Office: 0128
*King Abdullah University of Science & Technology*
Thuwal, Saudi Arabia
--
This message and its contents, including attachments are intended solely
for the original recipient. If you are not the intended recipient or have
received this message in error, please notify me immediately and delete
this message from your computer system. Any unauthorized use or
distribution is prohibited. Please consider the environment before printing
this email.
Dear Sir, dear Madam,
Please, can you pass this announcement also to interested colleagues.
Kind regards
==========================================================================
CALL FOR PAPERS
The 7th Special Session on High Performance Computing for Application
Benchmarking and Optimization (HPBench 2020)
As part of the International Conference on High Performance Computing &
Simulation (HPCS 2020) http://hpcs2020.cisedu.info/ or
http://conf.cisedu.info/rp/hpcs20
Barcelona, Spain
==========================================================================
The Special Session on Compiler Architecture, Design and Optimization
provides a premier venue to bring together systems researchers working on
compiler architecture, design and code optimization of high performance
computing systems, particularly for many-core, GPU, and accelerators. The
track spans the spectrum from compiler performance to energy optimization,
and from purely static to fully dynamic approaches.
IMPORTANT DATES :
Papers Due: 1 July 2020
Author Notification: 22 July 2020
Camera-Ready Submission: 3 August 2020
Conference Dates: 26-30 October 2020
TOPICS :
The HPBench topics of interest include, but are not limited to
-Open Platforms for Parallel and Distributed Application Benchmarking and
Optimization
-Benchmarking on the Cloud
-Benchmarking of Clusters, Supercomputers, and large-scale systems
-Benchmarking the Performance of I/O
-Benchmarking of Energy and Energy Efficiency
-Benchmarking Web Services
-Virtualization for Distributed Benchmarking
-Data Distribution for Benchmarking
-Performance results of benchmarks on modern platforms
-Scalability Aspects of Benchmarking Parallel Applications on Parallel and
Distributed Systems
-Benchmarking of Parallel Scientific and Business Applications
-Performance of Benchmarking Applications (Eg: NAS parallel benchmarks)
-Techniques, frameworks and results concerning the benchmarking of library
packages
-Tools and frameworks for performance modeling systems and applications
-Tools and frameworks for simulation, measurement and monitoring
-Performance Measurements, Monitoring, Modeling and Simulation
-Domain-specific benchmarks and applications (such as image processing,
pattern recognition, cryptography, biometrics, differential equation
solvers, signal processing and alike)
-Mathematical Foundations of Benchmarking, Metrics and Heuristics
GENERAL CHAIRS :
Samar Aseeri, King Abdullah University of Science and Technology, Saudi
Arabia
Luigi Iapichino, Leibniz Supercomputing Centre (LRZ), Germany
TECHNICAL PROGRAM COMMITTEE:
Cosimo Anglano, Universitá del Piemonte Orientale, Italy
Fabio Baruffa, Intel, Germany
Suren Byna, Lawrence Berkeley National Laboratory, California, USA
Paul Carpenter, Barcelona Supercomputing Center, Spain
Douglas Doerfler, Lawrence Berkeley National Laboratory, USA
Zhiyi Huang, University of Otago, New Zealand
Clay Hughes, Sandia National Laboratories, USA
Aleksandar Ilic, Universidade de Lisboa, Portugal
Bok Jik Lee, Gwangju Institute of Science and Technology, Korea
Ravi Reddy Manumachu, University College Dublin, Ireland
Dana Petcu, West University of Timisoara, Romania
Ivan Rodero, Rutgers University, USA
*********************************************************************
For more information see
http://conf.cisedu.info/rp/hpcs20/2-conference/special-sessions/session02-h…
Kind Regards
--
Samar Aseeri, PhD
Computational Scientist
Extreme Computing Research Center (ECRC)
Building 1 -Office: 0128
*King Abdullah University of Science & Technology*
Thuwal, Saudi Arabia
--
This message and its contents, including attachments are intended solely
for the original recipient. If you are not the intended recipient or have
received this message in error, please notify me immediately and delete
this message from your computer system. Any unauthorized use or
distribution is prohibited. Please consider the environment before printing
this email.
===========================================================
17th International Conference on Economics of Grids, Clouds, Systems &
Services
Extended Deadline: June 7th, 2020
===========================================================
ONLINE CONFERENCE with high interaction between participants
WWW: http://2020.gecon-conference.org
Dates: 15-17 September 2020
Proceedings: Springer LNCS
===========
/ NOTICES! /
===========
Extended Deadlines:
Extended abstract Submission deadline: May 31st, 2020
Full papers deadline: June 7th, 2020
The organizing committee of GECON 2020 has decided all
sessions will be held exclusively online!
We consider the new online format to offer opportunities
for exploring new ways of improving the interaction and
feedback of the audience with speakers and promoting
networking among the conference participants.
The registration fee of the online conference has been
reduced to 250€ for one author of each publication,
100 € for participants, and 50€ for students.
The selection process will run as planned. The timely
publication of accepted papers in the proceedings of
GECON 2020 will be published in the LNCS series of
Springer as announced.
Due to the new online format, GECON maintains open the
proposal for special sessions. With the objective of
encouraging alternative forms of participation that can
increase discussions of technical topics and new ideas.
We solicit new topics and birds-of-a-feather session
proposals. Deadline for proposals is August 15th, 2020.
========
/ SCOPE /
========
GECON 2020 builds upon the very successful tradition
of the conference previous editions
(http://www.gecon-conference.org) since 2003. GECON
solicits contributions that are interdisciplinary,
combining business and economic aspects with
engineering and computer science related themes.
==============
/ Important Dates /
==============
Deadlines:
Extended abstract submission deadline: May 31st, 2020
Full papers deadline: June 7th, 2020
Notification of acceptance: July 6th, 2020
Camera Ready deadline: July 13th, 2020
Poster Submission for accepted papers: July 20th, 2020
Birds of a feather session proposals: August 15th, 2020
==============================
/ Publication and Submission Guidelines /
==============================
Original full papers and work-in-progress papers,
which are not currently under review by another
conference, will be considered. Manuscripts will be
reviewed based on technical merit, originality, and
relevance. Past acceptance rates have been around
30 per cent in recent years.
Full papers, work-in-progress (WIP) papers, and
wild-and-crazy-ideas (WACI) papers shall be submitted
using the Springer LNCS format.
Submitted full papers should not exceed 12 pages, WIP
papers should not exceed 8 pages (including references
and appendices) and WACI papers (4 pages). For further
details, visit the GECON 2020 web page. Paper
submissions are managed through EasyChair at
(https://easychair.org/conferences/?conf=gecon2020).
The proceedings will be published by Springer LNCS.
Extended versions of up to 10 accepted papers in the
Computer
Science field will be invited for publication
in a special issue of the:
- Elsevier Journal of Future Generation Computing Systems.
For papers targeting mainly business and economic
aspects, a special issue of the
- Springer Electronic Markets Journal or
- Elsevier Electronic Commerce and Applications
with up to 5 papers is foreseen.
==============
/ Topics of Interest /
==============
As a global market for infrastructures, platforms, and
software services emerge, the need to understand and deal
with its implications and its interdisciplinary challenges
is quickly growing. To address this, GECON encourages the
submission of papers, which combine at least one
economic/legal area and one technologic area. GECON list
of areas includes, but is not limited to:
-Economics-
Incentive design, strategic behavior & game theory
Market mechanisms, auctions models, and bidding languages
Economic efficiency
Techno-economic analysis and modelling
Pricing schemes and revenue models
Metering, accounting, and billing
Cost-benefit analysis
Automated trading and bidding support tools
Trust, reputation, security, and risk management
Performance monitoring, optimization, and prediction
Reports on industry test-beds and operational markets
Energy efficiency
Sustainability
Business models and strategies
Decision support
Open source ecosystems
-Law and Legal Aspects-
Standardization, interoperability, and legal aspects
Service level agreements (SLAs), negotiation,
Monitoring and enforcement
Governance of ecosystems
Privacy
-Clouds, Grids, Systems and Services-
IaaS, SaaS, PaaS and Federation of resources
Vertical scaling, burstable computing, vertical elasticity
Resource management: allocation, sharing, scheduling
Capacity planning
Virtualization and containers
Service science, management and engineering (SSME)
Software engineering
Security
-Technologies Transforming the Economy-
Smart grids, smart cities, and smart buildings
Energy-aware infrastructures and services
Fog, edge, osmosis computing
Micro-services, serverless computing
Internet-of-Things
Blockchains
Community networks
Social networks
Social computing
Big data
Data stream ingestion and complex event processing
Additionally, the following special topic sessions have been
lined up (a detailed description is available on the GECON
2020 submission web site):
-Digital Infrastructures to Support Decision Making for
Pandemic Response and Countermeasures-
Contact:
GECON 2020 Chairs,
gecon2020(a)easychair.org
-Decentralising Clouds to Deliver Intelligence at the Edge-
Contact:
Seugwoo Kum,
Korean Electronics Technology Institute, Korea,
seungwoo.kum(a)gmail.com;
Domenico Siracusa,
Fondazione Bruno Kessler, Italy,
dsiracusa(a)fbk.eu.
-Sustainability of Digital Infrastructures: Social, Economic,
and Policy Aspects for Material Resources Supporting the
Digital World-
Contact:
Leandro Navarro
Universitat Politecnica de Catalunya, Spain,
leandro(a)ac.upc.edu;
Felix Freitag
Universitat Politecnica de Catalunya, Spain,
felix(a)ac.upc.edu
-Business and Economic Aspects of Machine Learning, Cognitive
Systems and Data Science-
Contact:
Aurilla Aurelie Arntzen
University of South-Eastern, Norway,
aurilla.aurelie.arntzen(a)usn.no
====================
/ Conference Organization /
====================
Conference Chair
Vlado Stankovski (University of Ljubljana,Slovenia)
Conference Vice-Chairs
Karim Djemame (University of Leeds, UK)
Orna Agmon Ben-Yehuda (University of Haifa, Israel)
Jorn Altmann (Seoul National University, South-Korea)
Jose Angel Banares (Zaragoza University, Spai
Steering Committee
Karim Djemame (University of Leeds, UK)
Jorn Altmann (Seoul National University, South-Korea)
Jose Angel Banares (Zaragoza University, Spain)
Orna Agmon Ben-Yehuda (Technion, Israel)
Steven Miller (Singapore Management University, Singapore)
Omer F. Rana (Cardiff University, UK)
Gheorghe Cosmin Silaghi (Babes-Bolyai University, Romania)
Konstantinos Tserpes (Harokopio University, Greece)
Maurizio Naldi (Universita di Roma, Italy)
Contact for Questions: gecon2020(a)easychair.org
@&@#^%&*%$@*#*&%#%^&$#@^@^&@%$@*^#&@
@%#&#@^*$@@#*%&%#@*$*&^@#$%@#%&$&%@
Prof. Dr. Jörn ALTMANN
office 37-305
Technology Management, Economics, and Policy Program
Departmentof Industrial Engineering
Collegeof Engineering
Seoul National University
1 Gwanak-Ro, Gwanak-Gu, 08826 Seoul, South-Korea
phone: +82 70 7678 6676
phone: +49 4155 129333
phone: +1 510 962 3062
phone: +44 20 32393134
fax: +1 610 956 4404
email: jorn.altmann(a)acm.org
www: http://altmann.my-groups.de/
*The Third Special Session on Virtualization in Machine Learning, High
Performance Computing and Simulation*
*(VIRT 2020)*
*CALL FOR PAPERS & PARTICIPATION*
*As part of *
*The 18th International Conference on High Performance Computing &
Simulation (HPCS 2020)http://hpcs2020.cisedu.info/
<http://hpcs2020.cisedu.info/> or http://conf.cisedu.info/rp/hpcs20
<http://conf.cisedu.info/rp/hpcs20>*
*26 - 30 October*
* 2020*
*Barcelona, Spain*
*(Tentative)*
* Paper Submission Deadline: 17 June 2020*
*Submissions could be for full papers, short papers, poster papers, or
posters*
*PURPOSE AND SCOPE*
Virtualization has become the foundation of cloud computing. The scale of
cloud computing data centers is similar to the supercomputers used in High
Performance Computing. Both involve millions of CPU cores, tens of
thousands of accelerators like GPUs, FPGAs connected by high speed
interconnects and different connection topologies. Studies have shown that
the GPU utilization in HPC is often at 50%. Virtualization can be the key
to increasing resource utilization and managing massive infrastructures
efficiently.
GPU vendors have introduced virtualized versions of GPUs. FPGAs are being
deployed in virtual infrastructure. These and other developments in the
field, along with future exascale systems, will provide increasing degree
of virtualization within the systems.
The goal of this special session is to be an opportunity to discuss and
exchange research on the different virtualization technologies and how they
can be efficiently applied in High Performance Computing. Theoretical
research, engineering solutions dealing with practical tradeoffs, and
complex system implementation papers are welcomed.
*The VIRT topics include (but are not limited to) the following: *
- *Virtualization in HPC*
o Energy efficient solutions for HPC applications in the cloud environment
o High-availability based on system-level virtualization mechanisms for HPC
o Fault tolerance mechanisms based on system-level virtualization
mechanisms for HPC
o Performance and evaluation of diverse HPC workloads in virtualization
environment
o Security Isolation, Resource Isolation and Data Isolation in Virtualized
HPC
o Flexibility and Ease of system administration and management for
virtualized environments for HPC
o Running diverse workloads
o Running heterogeneous Operating Systems
o Live Migration and Suspend/Resume of VMs to improve resource utilization
and avoid downtime
o Scheduling of resources and Workloads
o Software Defined Data Centers (SDDC)
o Hypervisors and other virtualization solutions tailored for HPC systems
o Big Data and Analytics in Virtualized Environments
o Enterprise High Performance Computing in Virtualized Environments
- *Accelerators in Virtualized HPC Environments:*
o Virtualized GPUs
o Scheduling of Virtual GPUs
o Using FPGAs in Virtualization Stack
o Dynamic Reconfiguration of FPGAs
- * IO Virtualization*
o Network Virtualization
o SR-IOV
o Software Defined Networking (SDN)
o Storage Virtualization
o RDMA and vRDMA
-
- Containers in HPC
o Isolation of Multiple User-Spaces
o Running containers in Virtual Machines
- *Tools*
o Virtualization solutions for dealing with heterogeneity in HPC
environments
o Compilers for heterogenous architectures involving GPUS, FPGAs,
multi-core CPUs
o Operating system support for virtualization in HPC systems
o Debugging and/or profiling in virtual environments
- *Algorithms*
o Distributed Resource Scheduling
o Distributed Computing
- *AI, Machine Learning and Deep Learning*
o Virtualization of Deep Learning Workloads
o Deep Learning in HPC Simulations
o Resource Allocation Using Machine Learning
o Reinforcement Learning for Resource Allocation
o Machine Learning to build tools for measurement & calibration
- *Virtualization in Simulation*
*INSTRUCTIONS FOR PAPER SUBMISSIONS *
You are invited to submit original and unpublished research works on above
and other topics related to *virtualization in high performance computing
and simulation*. Submitted papers must not have been published or
simultaneously submitted elsewhere until it appears in HPCS proceedings, in
the case of acceptance, or notified otherwise. Submission can be for
*- Regular papers*, please submit a PDF copy of your full manuscript, not
to exceed 8 double-column formatted pages per template, and include up to 6
keywords and an abstract of no more than 400 words. Additional pages will
be charged additional fee. Submission should include a cover page with
authors' names, affiliation addresses, fax numbers, phone numbers, and all
authors email addresses. Please, indicate clearly the corresponding
author(s) although all authors are equally responsible for the manuscript.
*- Short papers* (up to 4 pages), please submit a PDF copy of your full
manuscript, not to exceed 4 double-column formatted pages per template, and
include up to 6 keywords and an abstract of no more than 400 words.
Additional pages will be charged additional fee. Submission should include
a cover page with authors' names, affiliation addresses, fax numbers, phone
numbers, and all authors email addresses. Please, indicate clearly the
corresponding author(s) although all authors are equally responsible for
the manuscript.
*- Poster papers* and *Posters* (please refer to
http://hpcs2020.cisedu.info/1-call-for-papers-and-participation/call-for-po…
for
posters submission details) will also be considered.
Please specify the type of submission you have. Please include page numbers
on all preliminary submissions to make it easier for reviewers to provide
helpful comments.
Submit a PDF copy of your full manuscript to the special session paper
submission site at https://cmt3.research.microsoft.com/VIRT2020 .
Acknowledgement will be sent within 48 hours of submission.
*Conference Policies*
Only PDF files will be accepted, uploaded to the submission link above.
Each paper will receive a minimum of three reviews. Papers will be selected
based on their originality, relevance, significance, technical clarity and
soundness, presentation, language, and references. Submission implies the
willingness of at least one of the authors to register and present the
paper, if accepted. At least one of the authors of each accepted paper will
have to register and attend the HPCS 2020 conference to present the paper
at the special session as scheduled. By submitting the paper to the HPCS
conference, all authors agree to abide by all HPCS conference paper
submission, publication and presentation policies as well as following
ethical and professional codes of conduct, including those of the
professional co-sponsoring organizations. Contents of manuscripts submitted
to the tracks program committees shall be regarded as privileged as well
and handled in the same manner and standards. For more information, please
refer to the *Authors Info* and *Registration Info* pages.
*Proceedings*
Accepted papers will be published in the Conference proceedings.
Instructions for final manuscript format and requirements will be posted on
the HPCS 2020 Conference web site. It is our intent to have the proceedings
formally published in hard and soft copies and be available at the time of
the conference. The proceedings is projected to be included in the IEEE or
ACM Digital Library and indexed in all major indexing services accordingly.
*SPECIAL ISSUE*
Plans are underway to have the best papers, in extended version, selected
for possible publication in a reputable journal as special issue. Detailed
information will soon be announced and will be made available on the
conference website.
If you have any questions about paper submission or the special session,
please contact the special session organizers.
*IMPORTANT DATES*
*Paper Submissions: ------------------------------------------- 17 June
2020*
*Acceptance Notification: -------------------------------------- 10 July
2020*
*Camera Ready Papers and Registration Due by: ----------- 03 August 2020*
*Conference Dates: -------------------------------------------- 26-30
October 2020*
*SPECIAL SESSION ORGANIZERS*
*Uday Kurkure *
VMware, Inc.
3401 Hillview Avenue
Palo Alto, CA 94304, USA
Phone: +1 650-427-1179
Fax: +1 650-
Email: uday(a)alumni.stanford.edu
*Hari Sivaraman *
VMware, Inc.
3401 Hillview Avenue
Palo Alto, CA 94304, USA
Phone: +1 650-427-3681
Fax: +1 650-
Email: hsivaraman(a)vmware.com
*Lan Vu *
VMware, Inc.
3401 Hillview Avenue
Palo Alto, CA 94304, USA
Phone: +1 650-427-1327
Fax: +1 650-
Email: lanv(a)vmware.com
*International Program Committee*: *
All submitted papers will be rigorously reviewed by the special session
technical program committee members following similar criteria used in HPCS
2020 and will be published as part of the HPCS 2020 Proceedings.
- *Cristina Boeres*, Fluminense Federal University, Brazil
- *Isaac Gelado*, Nvidia Corp., Santa Clara, California, USA
- *Kyle Hale*, Illinois Institute of Technology, Illinois, USA
- *Xiaoyi Lu*, The Ohio State University - Columbus, Ohio, USA
- *Carlos Reano*, Queen's University Belfast, U.K.
- *Federico Silla*, Universitat Politecnica de Valencia, Spain
- *Alex Sim*, Lawrence Berkeley National Laboratory, California, USA
- *Giang Son Tran*, University of Science and Technology of Hanoi,
Hanoi, Vietnam
- *Blesson Varghese*, Queen's University Belfast, U.K.
- *Dong Ping Zhang*, AMD Inc., San Jose, California, USA
- *Jie Zhang*, Amazon Inc., Washington, USA
- *Yongli Zhao*, Beijing University of Posts and Telecommunications,
Beijing, China
Berkeley Lab's Computational Research Division has an opening for a
Postdoctoral Scholar to work on the BISICLES Ice Sheet Model.
The Applied Numerical Algorithms Group (ANAG), in partnership with the
Universities of Bristol and Swansea in the UK, is a home of BISICLES, an
open-source adaptive mesh refinement (AMR) ice sheet model under
development as a part of the U.S. Department of Energy-funded ProSPect
SciDAC partnership (see http://bisicles.lbl.gov). You will join an
interdisciplinary team of scientists and engineers in extending the
current BISICLES capabilities while applying the model to a range of
idealized and realistic problems.
ANAG develops advanced numerical algorithms and software for partial
differential equations integrated with the application of the software
to problems of independent scientific and engineering interest. The
primary focus of our work is in the development of high-resolution and
adaptive finite difference methods for partial differential equations in
complex geometries with applications to DOE-mission applications
including porous media flows, magnetohydrodynamics, industrial problems,
climate, and fusion energy.
Details, including how to apply, can be found here:
https://jobs.lbl.gov/jobs/bisicles-ice-sheet-model-postdoctoral-scholar-2616
We apologize if you receive multiple copies of this call for papers.
--------------------------------------------------------------------------------
13th Workshop on Resiliency in High Performance Computing (Resilience)
in Clusters, Clouds, and Grids
<https://www.csm.ornl.gov/srt/conferences/Resilience/2020>
in conjunction with
the 26th International European Conference on Parallel and Distributed
Computing (Euro-Par), Warsaw, Poland
August 24 - 28, 2020
<http://2020.euro-par.org>
2020 Workshop Format:
Due to the exceptional situation of COVID-19, this year Euro-Par and its
workshops will be organized as an all-virtual event. This includes the main
conference and workshops. The accepted workshop papers must be presented by
one of the authors in order to be included in the proceedings. There will
be a single minimal registration fee for each accepted paper in order to
cover expenses associated with organization and proceedings publication.
Only one author per paper needs to register (150 euros). Lastly, the
preferred presentation format for the workshop will be via a streaming
presentation, with slides and pre-recorded video presentations used in
exceptional situations.
Overview:
Resilience is a critical challenge as high performance computing (HPC)
systems continue to increase component counts, individual component
reliability decreases (such as due to shrinking process technology and
near-threshold voltage (NTV) operation), hardware complexity increases
(such as due to heterogeneous computing) and software complexity increases
(such as due to complex data- and workflows, real-time requirements and
integration of artificial intelligence (AI) technologies with traditional
applications).
Correctness and execution efficiency, in spite of faults, errors, and
failures, is essential to ensure the success of the HPC systems, cluster
computing environments, Grid computing infrastructures, and Cloud computing
services. The impact of faults, errors, and failures in such HPC systems
can range from financial losses due to system downtime (sometimes several
tens-of-thousands of Dollars per lost system-hour), to financial losses due
to unnecessary overprovision (acquisition and operating costs), to
financial losses and legal liabilities due to erroneous or delayed output.
The emergence of AI technology opens up new possibilities, but also new
problems. Using AI technology for operational intelligence that enables
resilience in HPC systems and centers is a complex control problem, while
designing resilient AI technology for HPC applications is a difficult
algorithmic problem. Resilience for HPC systems encompasses a wide spectrum
of fundamental and applied research and development, including theoretical
foundations, error/failure and anomaly detection, monitoring and control,
end-to-end data integrity, enabling infrastructure, and resilient
algorithms.
This workshop brings together experts in the community to further research
and development in HPC resilience and to facilitate exchanges across the
computational paradigms of extreme-scale HPC, cluster computing, Grid
computing, and Cloud computing.
Submission Guidelines:
Authors are invited to submit papers electronically in English in PDF
format. Submitted manuscripts should be structured as technical papers and
BETWEEN 10 AND 12 PAGES, including figures, tables and references, using
Springer's Lecture Notes in Computer Science (LNCS) format at
<http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with
less than 10 or more than 12 pages will not be accepted due to publisher
guidelines. Submissions should include abstract, key words and the e-mail
address of the corresponding author. Papers not conforming to these
guidelines may be returned without review. All manuscripts will be reviewed
and will be judged on correctness, originality, technical strength,
significance, quality of presentation, and interest and relevance to the
conference attendees. Submitted papers must represent original unpublished
research that is not currently under review for any other conference or
journal. Papers not following these guidelines will be rejected without
review and further action may be taken, including (but not limited to)
notifications sent to the heads of the institutions of the authors and
sponsors of the conference. Submissions received after the due date or not
appropriately structured may also not be considered. The proceedings will
be published in Springer's LNCS as post-conference proceedings. At least
one author of an accepted paper must register for and attend the workshop
for inclusion in the proceedings. Authors may contact the workshop program
chairs for more information.
Important websites:
- Resilience 2020 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2020>
- Resilience 2020 Submissions: <https://easychair.org/conferences/?conf=europar2020workshop>
- Euro-Par 2020 website: <http://2020.euro-par.org>
Topics of interest include, but are not limited to:
- Theoretical foundations for resilience:
- Metrics and measurement
- Statistics and optimization
- Simulation and emulation
- Formal methods
- Efficiency modeling and uncertainty quantification
- Experience reports
- Error/failure/anomaly detection and reliability/dependability modeling:
- Statistical analyses
- Machine learning and artificial intelligence
- Digital twins
- Data collection and aggregation
- Information visualization
- Monitoring and control for resilience:
- Center, system and application monitoring and control
- Reliability, availability, serviceability and performability
- Tunable fidelity and quality of service
- Automated response and recovery
- Operational intelligence to enable resilience
- End-to-end integrity:
- Fault tolerant design of centers, systems and applications
- Forward migration and verification
- Degraded operation
- Error propagation, failure cascades, and error/failure containment
- Testing and evaluation, including fault/error/failure injection
- Enabling infrastructure for resilience:
- Reliability, availability, serviceability systems
- System software and middleware
- Resilience extensions for programming models
- Tools and frameworks
- Support for resilience in heterogeneous architectures
- Resilient algorithms:
- Algorithmic detection and correction
- Resilient solvers and algorithm-based fault tolerance
- Fault tolerant numerical methods
- Robust iterative algorithms
- Resilient artificial intelligence
Important Dates:
- Workshop papers due: June 12, 2020 (extended)
- Workshop author notification: July 21, 2020
- Workshop author registration: TBA
- Workshop paper (for informal workshop proceedings): July 21, 2020
- Workshop date: August 24 or 25, 2020
- Workshop camera-ready papers: September 11, 2020 (after the conference)
General Co-Chairs:
- Stephen L. Scott
Tennessee Tech University, USA
scottsl(a)ornl.gov
- Christian Engelmann
Oak Ridge National Laboratory , USA
engelmannc(a)ornl.gov
Program Co-Chairs:
- Ferrol Aderholdt
Middle Tennessee State University, USA
ferrol.aderholdt(a)mtsu.edu
- Thomas Naughton
Oak Ridge National Laboratory , USA
naughtont(a)ornl.gov
Workshop Chair Emeritus:
- Chokchai (Box) Leangsuksun
Louisiana Tech University, USA
box(a)latech.edu
Program Committee:
- Wesley Bland, Intel Corporation, USA
- Hans-Joachim Bungartz, Technical University of Munich, Germany
- Marc Casas, Barcelona Supercomputer Center, Spain
- Zizhong Chen, University of California at Riverside, USA
- Robert Clay, Sandia National Laboratories, USA
- Nathan DeBardeleben, Los Alamos National Laboratory, USA
- James Elliott, Sandia National Laboratories, USA
- Kurt Ferreira, Sandia National Laboratories, USA
- Saurabh Hukerikar, NVIDIA, USA
- Ignacio Laguna, Lawrence Livermore National Laboratory, USA
- Scott Levy, Sandia National Laboratories, USA
- Rolf Riesen, Intel Corporation, USA
- Yves Robert, ENS Lyon, France
- Thomas Ropars, Universite Grenoble Alpes, France
- Martin Schulz, Technical University of Munich, Germany
- Keita Teranishi, Sandia National Laboratories, USA
_________________________________________________________________________
Thomas Naughton naughtont(a)ornl.gov
Research Associate (865) 576-4184