We apologize if you receive multiple copies of this notice.
-----------------------------------------------------------------------------
ScalA’17: 8th Workshop on Latest Advances in
Scalable Algorithms for Large-Scale Systems
held in conjunction with the
SC17: The International Conference on High Performance
Computing, Networking, Storage and Analysis
in cooperation with ACM SIGHPC
November 13, 2017, Denver, CO, USA
<http://www.csm.ornl.gov/srt/conferences/Scala/2017>
Novel scalable scientific algorithms are needed in order to enable key
science applications to exploit the computational power of large-scale
systems. This is especially true for the current tier of leading petascale
machines and the road to exascale computing as HPC systems continue to scale
up in compute node and processor core count. These extreme-scale systems
require novel scientific algorithms to hide network and memory latency, have
very high computation/communication overlap, have minimal communication, and
have no synchronization points.
Scientific algorithms for multi-petaflop and exa-flop systems also need to be
fault tolerant and fault resilient, since the probability of faults increases
with scale. Resilience at the system software and at the algorithmic level is
needed as a crosscutting effort. Finally, with the advent of heterogeneous
compute nodes that employ standard processors as well as GPGPUs, scientific
algorithms need to match these architectures to extract the most performance.
This includes different system-specific levels of parallelism as well as
co-scheduling of computation. Key science applications require novel
mathematical models and system software that address the scalability and
resilience challenges of current- and future-generation extreme-scale HPC
systems.
Submission Guidelines
Authors are invited to submit manuscripts in English structured as technical
papers not exceeding 8 letter size (8.5in x 11in) pages including figures,
tables, and references using the ACM format for conference proceedings.
Submissions not conforming to these guidelines may be returned without
review. Reference style files are available at
<http://www.acm.org/sigs/publications/proceedings-templates>.
All manuscripts will be reviewed and judged on correctness, originality,
technical strength, and significance, quality of presentation, and interest
and relevance to the workshop 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original unpublished research that is not currently under review for any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, exceeding length limit, or not appropriately structured may also not
be considered. At least one author of an accepted paper must register for
and attend the workshop. Authors may contact the workshop program chair for
more information. Papers should be submitted electronically at:
<https://easychair.org/conferences/?conf=scala17>.
Full papers will be published with the SC'17 workshop proceedings in the ACM
Digital Library and IEEE Xplore. Selected papers will be invited for an
extended version in a special issue of the Journal of Computational Science
(JoCS).
Important Dates
- Full paper submission: August 28, 2017
- Notification of acceptance: September 11, 2017
- Final paper submission (firm): October 9, 2017
- Workshop/conference early registration: TBD
- Workshop: November 13, 2017
Topics of interest include, but are not limited to:
- Novel scientific algorithms that improve performance, scalability,
resilience, and power efficiency
- Porting scientific algorithms and applications to many-core and
heterogeneous architectures
- Performance and resilience limitations of scientific algorithms and
applications at scale
- Crosscutting approaches (system software and applications) in addressing
scalability challenges
- Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion
for exascale by 2020)
- Naturally fault tolerant, self-healing, or fault oblivious scientific
algorithms
- Programming model and system software support for algorithm scalability and
resilience
Workshop Chairs
- Vassil Alexandrov, Barcelona Supercomputing Center, Spain
- Al Geist, Oak Ridge National Laboratory, USA
- Jack Dongarra, University of Tennessee, Knoxville, USA
Workshop Program Chair
- Christian Engelmann, Oak Ridge National Laboratory, USA
Program Committee
- Vassil Alexandrov, Barcelona Supercomputing Center, Spain
- Hartwig Anzt, University of Tennessee, Knoxville, USA
- Rick Archibald, Oak Ridge National Laboratory, USA
- Franck Cappello, Argonne National Laboratory and
University of Illinois at Urbana Champaign, USA
- Zizhong Chen, University of California, Riverside, USA
- James Elliott, Sandia National Laboratories, USA
- Nahid Emad, University of Versailles SQ, France
- Christian Engelmann, Oak Ridge National Laboratory, USA
- Wilfried Gansterer, University of Vienna, Austria
- Michael Heroux, Sandia National Laboratories, USA
- Kirk E. Jordan, IBM T.J. Watson Research, USA
- Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany
- Ignacio Laguna, Lawrence Livermore National Laboratory, USA
- Piotr Luszczek, University of Tennessee, Knoxville, USA
- Michael Mascagni, Florida State University, USA
- Ron Perrot, University of Oxford, UK
- Yves Robert, ENS Lyon, France
- Stuart Slattery, Oak Ridge National Laboratory, USA
- Keita Teranishi, Sandia National Laboratories, USA
--
Christian Engelmann, Ph.D.
R&D Staff Scientist
Computer Science Research Group
Computer Science and Mathematics Division
Oak Ridge National Laboratory
Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA
Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491
e-Mail: engelmannc(a)ornl.gov / Home: www.christian-engelmann.info
Dear Colleagues,
On behalf of organizers, let me extend our warm invitation to submit your research papers at the EdgeDL 2019 workshop to be held in Washington D.C., USA during September 26, 2019. Kindly help us spread the word.
IEEE/ACM CHASE 2019 Workshop on
EdgeDL: Deep Learning on Edge for Smart Health and Wellbeing Applications
Washington D.C., USA, September 26, 2019
EDAS Paper Submission Link:
https://edas.info/newPaper.php?c=26564
CFP Webpage:
https://sites.google.com/view/edgedl-ieee-acm-chase-2019/home
We look forward to welcoming you at the workshop and arrange an exciting Technical Program and keynote speaker from industry.
Thank you,
Workshop organizers
Harishchandra Dubey, Microsoft, USA [hadubey(a)microsoft.com<mailto:hadubey@microsoft.com>]
Kunal Mankodiya, University of Rhode Island, USA [kunalm(a)uri.edu<mailto:kunalm@uri.edu>]
Amir M. Rahmani, University of California Irvine, USA [a.rahmani(a)uci.edu<mailto:a.rahmani@uci.edu>]
Utsav Drolia, NEC Laboratories America Inc., USA [utsav(a)nec-labs.com<mailto:utsav@nec-labs.com>]
-Best,
Hari Dubey, on behalf of
Kunal Mankodiya, Amir M. Rahmani and Utsav Drolia
Subject: Update about Ada-Europe Conferences 2019 and 2020
The 24th edition of Ada-Europe's International Conference on Reliable
Software Technologies took place on 11-14 June in Warsaw, Poland, with
considerable success.
The conference, graciously hosted by the Institute of Aviation, had
nearly 100 participants, enjoyed a rich technical and social program,
and saw much active interaction between participants, presenters,
and exhibitors.
For your information, the following material is now available online:
- the "Conference Booklet" in PDF, which contains the abstracts of all
presentations in the core program (see first section on [1]);
- copies of conference presentations
(see "Download" links in "Conference Core Schedule" table on [1]);
- copies of DeCPS workshop presentations
(see "Download links in "Program" table on [2]);
- pictures of the exhibition booths (see final part of [3]).
[1] www.ada-europe.org/conference2019/overview.html
[2] www.ada-europe.org/conference2019/workshops.html
[3] www.ada-europe.org/conference2019/sponsors.html
As announced in Warsaw, next year's conference will be held in
Santander, Spain, in the week of 8-12 June 2020.
The preliminary Call for Contributions is already available on the
(mini) conference web site at [4]. More details will follow later.
[4] www.ada-europe.org/conference2020/
On this occasion, the Ada-Europe Board announces a slight update of
the name of its conference series:
- the complete name is "25th Ada-Europe International Conference on
Reliable Software Technologies";
- the short name is "Ada-Europe Conference 2020";
- the acronym is "AEiC 2020".
Hence on social media when referring to the Ada-Europe organization
we'll use #AdaEurope, and when referring to next year's Ada-Europe
Conference we'll use #AEiC2020.
Dirk Craeynest, Ada-Europe 2019 & 2020 Publicity Chair
[Apologies if you receive multiple copies of this CFP]
CALL FOR PAPERS
==========================================================
International Symposium on Benchmarking, Measuring and Optimizing
(Bench)
http://www.benchcouncil.org/bench19/index.html
Nov. 14th - Nov. 16th, 2019, Denver, Colorado, USA
==========================================================
Introduction
----------------
Benchmarking, measuring, and optimizing are fundamental activities in human being's lives. This symposium (Bench 19) is organized by International Open Benchmarking Council (BenchCouncil), and the main theme is benchmarking, measuring, and optimizing Big Data or AI in HPC, Datacenter, IoT, and Edge Computing.
Bench 19 provides a high-quality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmark community as a whole. Bench 19 has two special events: the AI benchmarking reports (benchmarks, performance numbers), and the AI system and algorithm competitions ( http://www.benchcouncil.org/competition/index.html ). Also, we will invite speakers from China, US, Europe and Japan on HPC AI topics.
We provide two submission opportunities.
For regular submission, we solicit papers describing original and previously unpublished research. Specific topics of interest include, but are not limited to, the following.
**Benchmark, measurement, and optimization of:
**Benchmark specifications and open-source implementation reports of:
** Methodologies, abstractions, metrics, algorithms, and tools in benchmark, measurement, and optimization for:
** Benchmark-driven domain-specific co-design of:
** Testbed methodologies and systems of:
** Workload characterization of:
-Big Data
-AI
-HPC
-Machine learning in HPC
-Big scientific data
-Datacenter
-Cloud
-Warehouse-scale computing
-Mobile robotics
-Edge and fog computing
-IoT
For the AI system and algorithms challenge( http://www.benchcouncil.org/competition/index.html ), each team is welcomed to submit a paper describing their work. Their paper will be reviewed for further recommendation. For the winner final lists, each team has to submit a paper and presents their work at Bench 19.
Paper Submission
------------------------
Papers must be submitted in PDF. Short papers (no more than 4 pages in standard two-column IEEE conference format or 6 pages in LNCS format, not including references) are encouraged, and the authors can extend their short paper to 12 pages in LNCS format, not including references, in the final publication. If a full paper is submitted, the page limit is 8 pages in standard two-column IEEE conference format or 12 pages in LNCS format, not including references. The submissions will be judged based on the merit of the ideas rather than the length. After the conference, revised papers will be published by Springer (Pending).
Submission site:
https://easychair.org/conferences/?conf=bench19
Improtant Dates
---------------------
Regular submission
Paper Submission July 15, 2019 (Anywhere on Earth)
Acceptance Notification Aug 20, 2019
AI competitions
Paper submission: Sep 1, 2019
Acceptance Notification: Sep 15, 2019
Awards
----------
At Bench'19, several important awards will be given, which include:
* BenchCouncil Achievement Award ($3,000)
- This award recognizes a senior member who has made long-term contributions to benchmarking, measuring, and optimizing. The winner is eligible for BenchCouncil Fellow.
* BenchCouncil System Award ($3,000)
- This award recognizes a group of scientists and engineers who has made significant contributions to the design, implementation of a state-of-the-art or state-of-the-practice system.
* BenchCouncil Contribution Award ($1,000)
- This award recognizes a senior member who has made long-term contributions to the benchmarking, measuring, and optimizing community.
* BenchCouncil Best Paper Award ($1,000)
- This award recognizes a paper presented at the Bench conferences, which demonstrates potential impact on research and practice in benchmarking, measuring, and optimizing.
Organization
-----------------
General Chairs
Dan Stanzione (Texas Advanced Computing Center, The University of Texas at Austin)
Xiaoyi Lu (The Ohio State University)
TPC Chairs
Jianfeng Zhan (ICT, Chinese Academy of Sciences, and University of Chinese Academy of Sciences)
Geoffrey Fox (Indiana University)
Publications Chair
Chen Zheng (Institute of Computing Technology, CAS)
Award Committees
Lizy Kurian John (The University of Texas at Austin)
D. K. Panda (The Ohio State University)
Geoffrey Fox (Indiana University)
Jianfeng Zhan (ICT, Chinese Academy of Sciences, and University of Chinese Academy of Sciences)
Competition Chairs
Jidong Zhai (Tsinghua University)
Xiaoyi Lu (The Ohio State University)
Wanling Gao (Institute of Computing Technology, CAS)
Publicity Chairs
Zhen Jia (Princeton University)
Wanling Gao (Institute of Computing Technology, CAS)
Web Chair
Jiahui Dai (Beijing Academy of Frontier Sciences and Technology)
Technical Program Committee
----------------------------------------
Haiying Shen, University of Virginia
Woongki Baek, UNIST
Zheng Cao, Alibaba
Piotr Luszczek, University of Tennessee Knoxville
Khaled Ibrahim, Lawrence Berkeley National Lab
Li Zha, Institute of Computing Technology, Chinese Academy of Sciences
Lei Wang, Institute of Computing Technology, Chinese Academy of Sciences
Vladimir Getov, University of Westminster
Gwangsun Kim, POSTECH
Hyogi Sim, Oak Ridge National Laboratory
Zhen Jia, Princeton University
Weijia Xu, The University of Texas at Austin
Bin Ren, Pacific Northwest National Laboratory
Nikhil Jain, Lawrence Livermore National Laboratory
Lucas Mello Schnorr, UFRGS
Shantenu Jha, Rutgers University
Bo Wu, Colorado School of Mines
Jungang Xu, College of Computer and Control Engineering,University of Chinese Academy of Sciences
Saliya Ekanayake, Virginia Tech
Zujie Ren, Zhejiang University
Ryan E. Grant, Sandia National Laboratories
Zhihui Du, Tsinghua University
Guang R Gao, Computer Architecture and Parallel Systems Laboratory, Unversity of Delaware
# PRELIMINARY CALL FOR PAPERS
Theory and Foundation for Modeling & Simulation (TMS)
(Part of the 2020 Spring Simulation Conference)
George Mason University, VA, USA – April 2020
## Aims and Scope:
The TMS track aims to provide a forum to present the most recent advances in the Theory
and Foundations of Modeling and Simulation. The focus is on the M&S concepts, methods,
methodology, practice, and toolkits, as well as related lessons learned and challenges. This
track welcomes unpublished papers, and not under consideration in other venues, on the
topics below as well as others that can help deepen and expand the M&S Theory and
Foundations for better understanding and development of computing, physical, and human
systems.
* Modeling & Simulation Formalisms (Agents, DEVS, Petri nets, Statecharts, etc.)
* Multi-Paradigm/Multi-Domain Modeling, Multi-Resolution/Multi-Scale Modeling
* Model Composition, Hybrid Modeling Languages, Multi-Modal Modeling
* Model Checking, Formalism-Based Model Debugging, Model Transformation
* Modular Hybrid, Spatially Distributed, and Ultra Large Scale Systems
* Embedded, IoT, and Fog Computing Systems
* Parallel, Distributed, Real-Time, Cloud-Based, and Interactive Simulation
* Co-simulation, Interoperability, Simulation Languages, Numerical Solvers
* Simulation and Model Development Visualization Tools
* Model Libraries, Repositories, and Data Formats
Conference proceedings will be submitted to the ACM Digital Library, for archiving and indexed
in DBLP and SCOPUS. SpringSim is co-sponsored by SCS, ACM and IEEE.
## Organizers
General Chair: Joachim Denil, University of Antwerp, Belgium
General Co-Chair, Hessam Sarjoughian, Arizona State University, USA
Program Chair, Cristina Ruiz-Martin, Carleton University, Canada
Program Co-Chair, Gabriel Wainer, Carleton University, Canada
## Information about Previous Editions:
https://msdl.uantwerpen.be/conferences/tmsdevs/2019/
[apologies for duplicated postings – problems/issues: contact
vsim-conf-owner(a)sce.carleton.ca]
=====================================
|| EuroMPI 2019 - Call for Posters ||
=====================================
Important Dates
Posters submissions due date: 27th July 2019 (AOE)
Posters notification date: 11th August 2019
Conference dates: 11th-13th September 2019
The poster session at the EuroMPI 2019 conference is an excellent opportunity to engage with the community by discussing new ideas and latest results that are not yet ready to be full papers.
We are soliciting poster submissions for EuroMPI 2019 that show-case work on the Message Passing Interface (MPI) or work that is related to message-passing parallel computing. We particularly encourage graduate students to publicise their ongoing work. We invite submissions from users of MPI, developers of MPI, and researchers in the broader field of message-passing parallel computing.
Topics of interest include, but are not limited to:
* Implementation Issues
* Implementation improvements towards exascale computing, such as many-core, GPGPU, and heterogeneous architectures.
* Performance bugs in MPI implementations.
* Interaction between message-passing software and new high-performance hardware architectures.
* New MPI-IO mechanisms and I/O stack optimizations.
* Programming Models
* API limitations of MPI; extensions to MPI.
* Hybrid and heterogeneous programming; combining MPI with other interfaces.
* MPI support for data-intensive parallel applications.
* Fault tolerance in message-passing implementations and systems.
* New programming paradigms implemented over MPI, like hierarchical programming and global address spaces.
* MPI parallel programming in clouds.
* Applications and Performance
* Performance evaluation for MPI or MPI-based applications on HPC machines or using cloud resources.
* Automatic performance tuning of MPI applications and implementations.
* Verification of message-passing applications and protocols.
* Applications using message passing, for example, in computational science and scientific computing.
* New parallel algorithms expressed in the message-passing paradigm.
Submission Instructions
Poster submissions should be submitted to the Euro MPI 2019 poster chairs via email to: Daniel Holmes <d.holmes(a)epcc.ed.ac.uk> and to Stefano Markidis <markidis(a)kth.se>.
All poster submissions must include:
* A short abstract (175 word maximum).
* An extended abstract (3 pages maximum, including figures and references, and formatted according to the "sigconf" style in the ACM 2017 Template (http://www.acm.org/publications/proceedings-template)).
* A poster draft. Note that complete results are not necessary. It is acceptable to have placeholders for last-minute results.
* Poster format should be A0 page size (either portrait or landscape). See the attached size guide instructions for more details.
The abstracts and posters will NOT be published in the conference proceedings by ACM-ICPS. In case of acceptance, posters will be presented at the conference and, if the authors agree, they will be published on the EuroMPI'19 poster web page.
Cheers,
Dan.
—
Dr Daniel Holmes PhD
Architect (HPC Research)
d.holmes(a)epcc.ed.ac.uk
Phone: +44 (0) 131 651 3465
Mobile: +44 (0) 7940 524 088
Address: Room 2.09, Bayes Centre, 47 Potterrow, Central Area, Edinburgh, EH8 9BT
—
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.
—
Apologies if you receive multiple copies of this email!
********** WORKS 2019 Workshop**********
14th Workflows in Support of Large-Scale Science Workshop
http://works.cs.cardiff.ac.uk/
Sunday 17 November 2019, Denver, CO
Held in conjunction with SC19, http://sc19.supercomputing.org/
Paper submission deadline: 15 July 2019
*****************************************
Call For Papers
Data-intensive Workflows (a.k.a. scientific workflows) are routinely
used in most scientific disciplines today, especially in the context of
parallel and distributed computing. Workflows provide a systematic way
of describing the analysis and rely on workflow management systems to
execute the complex analyses on a variety of distributed resources. They
are at the interface between end-users and computing infrastructures.
With the dramatic increase of raw data volume in every domain, they play
an even more critical role to assist scientists in organizing and
processing their data and to leverage HPC or HTC resources, e.g.,
workflows played an important role in the discovery of Gravitational Waves.
This workshop focuses on the many facets of data-intensive workflow
management systems, ranging from job execution to service management and
the coordination of data, service and job dependencies. The workshop
therefore covers a broad range of issues in the scientific workflow
lifecycle that include: data-intensive workflows representation and
enactment; designing workflow composition interfaces; workflow mapping
techniques that may optimize the execution of the workflow; workflow
enactment engines that need to deal with failures in the application and
execution environment; and a number of computer science problems related
to scientific workflows such as semantic technologies, compiler methods,
fault detection and tolerance.
The topics of the workshop include but are not limited to:
Big Data analytics workflows
Data-driven workflow processing (including stream-based workflows)
Workflow composition, tools, and languages
Workflow execution in distributed environments (including HPC, clouds,
and grids)
Reproducible computational research using workflows
Dynamic data dependent workflow systems solutions
Exascale computing with workflows
In Situ Data Analytics Workflows
Interactive workflows (including workflow steering)
Workflow fault-tolerance and recovery techniques
Workflow user environments, including portals
Workflow applications and their requirements
Adaptive workflows
Workflow optimizations (including scheduling and energy efficiency)
Performance analysis of workflows
Workflow debugging
Workflow provenance
*****************************************
Important Dates
Papers due: 15 July 2019
Paper acceptance notification: 1 September 2019
E-copyright registration completed by authors: 1 October 2019
Camera-ready deadline: 1 October 2019
Submitted papers must be at most 10 pages long. The proceedings should
be formatted according to the IEEE format (see
https://www.ieee.org/conferences/publishing/templates.html). The 10-page
limit includes figures, tables, appendices and references. WORKS papers
will be published in cooperation with TCHPC and will be available from
IEEE digital repository.
*****************************************
WORKS 2019 Organizing Committee
– PC Chairs
Sandra Gesing, University of Notre Dame, USA
Rafael Ferreira da Silva, University of Southern California, USA
– General Chair
Ian J. Taylor, Cardiff University, UK and University of Notre Dame, USA
– Steering Committee
David Abramson, University of Queensland, Australia
Malcolm Atkinson, University of Edinburgh, UK
Ewa Deelman, USC, USA
Michela Taufer, University of Tennessee, USA
– Publicity Chairs
Ilia Pietri, Intracom SA Telecom Solutions, Greece
Hoang Anh Nguyen, University of Queensland, Australia
*****************************************
WORKS 2019 Program Committee(Tentative)
Pinar Alper, University Luxembourg, LU
Ilkay Altintas, San Diego Supercomputer Center, USA
Khalid Belhajjame, Universit. Paris-Dauphine, France
Ivona Brandic, TU Wien, Austria
Kris Bubendorfer, Victoria University of Wellington, New Zealand
Jesus Carretero, Universidad Carlos III de Madrid, Spain
Henri Casanova, University of Hawaii at Manoa, USA
Kyle Chard, University of Chicago, USA
Rafael Ferreira Da Silva, USC Information Sciences Institute, USA
Daniel Garijo, USC Information Sciences Institute, USA
Sandra Gesing, University of Notre Dame, USA
Daniel Katz, University of Illinois Urbana-Champaign, USA
Tamas Kiss, University of Westminster, UK
Dagmar Krefting, HTW Berlin, Germany
Maciej Malawski, AGH University of Science and Technology, Poland
Anirban Mandal, Renaissance Computing Institute, USA
Marta Mattoso, Federal Univ. Rio de Janeiro, Brazil
Jarek Nabrzyski, University of Notre Dame, USA
Hoang Anh Nguyen, University of Queensland, Australia
Daniel de Oliveira, Fluminense Federal University, Brazil
Radu Prodan, University of Klagenfurt, Austria
Ivan Rodero, Rutgers University, USA
Rizos Sakellariou, University of Manchester, UK
Frédéric Suter, CNRS, France
Domenico Talia, University of Calabria, Italy
Douglas Thain, University of Notre Dame, USA
Rafael Tolosana-Calasanz, Universidad de Zaragoza, Spain
Chase Wu, New Jersey Institute of Technology, USA
Register today and take advantage of the special rates available for
individuals attending the 5th International Conference on machine Learning,
Optimization & Data science LOD - An Interdisciplinary Conference: Deep
Learning, Optimization and Big Data without Borders, this September 10-13
at the Certosa di Pontignano.
https://lod2019.icas.xyz
lod(a)icas.xyz
LOD 2019 is a great opportunity to present your work and congregate with
leaders and experts in the Deep Learning, Artificial Intelligence and Big
Data. Feel free to check out our keynote speakers:
- Michael Bronstein, Imperial College London, UK
- Marco Gori, University of Siena, Italy
- Arthur Gretton, UCL, UK
- Arthur Guez Google DeepMind, Montreal, UK
- Kaisa Miettinen, University of Jyväskylä, Finland
- Jan Peters, Technische Universitaet Darmstadt
- Mauricio Resende, Amazon, USA
- Richard E. Turner, University of Cambridge, UK
Submit your Paper/Abstract/Poster by June 30
https://easychair.org/conferences/?conf=lod2019
Sessions
- LOD 2019 Big-Data Challenge: Our sponsor, Neodata Lab, will offer a
prize of €2000 to the applicant who develops the most accurate algorithm to
process an “approximate SQL-like query answering system” on a real dataset.
https://lod2019.icas.xyz/industrial-session/
- Deep Neuroevolution Workshop
https://lod2019.icas.xyz/deep-neuroevolution-workshop/
- Multi-Task Learning
- Reinforcement Learning
- Deep Learning
- Generative Adversarial Networks
- Networks with Memory
- Learning from Less Data and Building Smaller Models
- Simulation Environments to understand how AI Systems Learn
- Chatbots and Conversational Agents
- Data Science at Scale & Data in the Cloud
- Urban Informatics & Data-Driven Modeling of Complex Systems
- Data-centric Engineering
- Data Security, Traceability of Information & GDPR
- Economic Data Science
https://lod2019.icas.xyz
lod(a)icas.xyz
**********************************************************************
We apologize if you received multiple copies of this email
Please feel free to distribute it to those who might be interested
**********************************************************************
Last Call - HiPC Paper Submission Deadline Approaching.
KEY DATES:
Abstract Submission: Friday, June 21, 2019
Paper Submission: Friday, June 28, 2019 *Firm Extended
Deadline*
Easychair Submission link: https://easychair.org/conferences/?conf=hipc2019
**********************************************************************
HiPC 2019 CALL FOR PAPERS *** Paper Deadline Extended ***
**********************************************************************
26th IEEE International Conference on High Performance Computing,
Data, and Analytics
December 17-20, 2019, Hyderabad, India
https://hipc.org/
HiPC 2019 will be the 26th edition of the IEEE International
Conference on High Performance Computing, Data, Analytics and Data
Science. 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.
Authors are invited to submit original unpublished research
manuscripts that demonstrate current research in all areas of high
performance computing, and data science and analytics, covering all
traditional areas and emerging topics including from machine learning,
big data analytics and blockchain. Each submission should be
submitted to one of the tracks listed under the two broad themes of
High Performance Computing and Data Science.
High Performance Computing tracks:
Algorithms: This track invites papers that describe original research
on developing new parallel and distributed computing algorithms, and
related advances. Examples of topics that are of interest include (but
not limited to):
* New parallel and distributed algorithms and design techniques;
* Advances in enhancing algorithmic properties or providing guarantees
(e.g., fault tolerance, resilience, concurrency, data locality,
communication-avoiding);
* Classical and emerging computation models (e.g.,
parallel/distributed models, quantum computing, neuromorphic and other
bioinspired models);
* Provably efficient parallel and distributed algorithms for advanced
scientific computing and irregular applications (e.g., numerical
linear algebra, graph algorithms, computational biology); and
* Algorithmic techniques for resource allocation and optimization
(e.g., scheduling, load balancing, resource management);
Architectures: This track invites papers that describe original
research on the design and evaluation of high performance computing
architectures, and related advances. Examples of topics of interest
include (but not limited to):
* Design and evaluation of high performance processing architectures
(e.g., reconfigurable, system-on-chip, manycores, vector processors);
* Design and evaluation of networks for high performance computing
platforms (e.g., interconnect topologies, network-on-chip);
* Design and evaluation of memory, cache and storage architectures
(e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers,
parallel I/O);
* Approaches to improve architectural properties (e.g., energy/power
efficiency, reconfigurable, resilience/fault tolerance,
security/privacy); and
* Emerging computational architectures (e.g., quantum computing,
neuromorphic and other bioinspired architectures).
Applications: This track invites papers that describe original
research on the design and implementation of scalable applications for
execution on parallel and distributed platforms, and related advances.
Examples of topics of interest include (but not limited to):
* Design and implementation of shared and distributed memory parallel
applications (e.g., scientific computing and industry applications,
emerging applications in IoT and life sciences - biology, medicine,
chemistry, etc.);
* Design and simulation methodologies for scaling applications on
peta- and exascale platforms (e.g., co-design approaches,
hardware/software co-design, heterogeneous and hybrid programming);
* Hardware acceleration of parallel applications (e.g., CPU/GPUs,
multi-GPU clusters, FPGA, vector processors, manycore); and
* Design of application benchmarks for parallel and distributed platforms.
Systems Software: This track invites papers that describe original
research on the design, implementation and evaluation of systems
software for high performance computing platforms, and related
advances. Examples of topics of interest include (but not limited to):
* Scalable systems and software architectures for high performance
computing (e.g., middleware, operating systems, I/O services);
* Techniques to enhance parallel performance (e.g., compiler/runtime
optimization, learning from application traces, profiling);
* Techniques to enhance parallel application development and
productivity (e.g., Domain-Specific Languages, programming
environments, performance/correctness checking and debugging);
* Techniques to deal with uncertainties, hardware/software resilience,
and fault tolerance;
* Software for cloud, data center, and exascale platforms (e.g.,
middleware tools, schedulers, resource allocation, data migration,
load balancing); and
* Software and programming paradigms for heterogeneous platforms
(e.g., libraries for CPU/GPU, multi-GPU clusters, and other
accelerator platforms);
Data Science tracks:
Scalable Algorithms and Analytics: This track invites papers that
describe original research on developing scalable algorithms for data
analysis at scale, and related advances. Examples of topics of
interest include (but not limited to):
* New scalable algorithms for fundamental data analysis tasks
(supervised, unsupervised learning, and pattern discovery);
* Scalable algorithms that are designed to address the characteristics
of different data sources and settings (e.g., graphs, social networks,
sequences, data streams);
* Scalable algorithms and techniques to reduce complexity of
large-scale data (e.g., streaming, sublinear data structures,
summarization, compressive analytics);
* Scalable algorithms that are designed to address requirements in
different data-driven application domains (e.g., life sciences,
business, agriculture); and
* Scalable algorithms that ensure the transparency and fairness of the analysis.
Scalable Systems and Software: This track invites papers that describe
original research on developing scalable systems and software for
handling data at scale, and related advances. Examples of topics of
interest include (but not limited to):
* Design of scalable system software to support various applications
(e.g., recommendation systems, web search, crowdsourcing applications,
streaming applications)
* Design of scalable system software for various architectures (e.g.,
OpenPower, GPUs, FPGAs).
* Architectures and systems software to support various operations in
large data frameworks (e.g., storage, retrieval, automated workflows,
data organization, visualization, visual analytics,
human-in-the-loop);
* Design and implementation of systems software for distributed data
frameworks (e.g., distributed file system, virtualization, cloud
services, resource optimization, scheduling); and
* Standards and protocols for enhancing various aspects of data
analytics (e.g., open data standards, privacy preserving and secure
schemes).
One or more best paper awards will be given for outstanding contributed papers.
IMPORTANT DATES
Abstract Submission: Friday, June 21, 2019
Paper Submission: Friday, June 28, 2019 *Firm Extended
Deadline*
Reviews for Rebuttals: Monday, July 29, 2019
Rebuttals due: Monday, August 5, 2019
Initial Submission Decision: Monday, August 19, 2019
Revisions Due: Friday, September 20, 2019
Author Notification: Monday, September 30, 2019
Camera Ready: Monday, October 14, 2019
Manuscript Guidelines
Submitted manuscripts should be structured as technical papers and may
not exceed ten (10) single-spaced double-column pages using 10-point
size font on 8.5x11 inch pages (IEEE conference style), including
figures, tables, and references. See IEEE style templates at this
page for details.
Electronic submissions must be in the form of a readable PDF file.
Manuscripts must be received by the published paper submission
deadline. All manuscripts will be reviewed by the Program Committee
and evaluated on originality, relevance of the problem to the
conference theme, technical strength, rigor in analysis, quality of
results, and organization and clarity of presentation of the paper.
Authors are highly encouraged to list the key contributions of their
paper. This should be in a separate paragraph in the introduction to
the paper. Please note that the review process is “single-blind”
(i.e., authors can list their names on the paper). This year we are
introducing a two-phase review process, in which the first round of
reviews will be made available to the authors for a brief rebuttal.
Based on the reviews and the rebuttal, an initial decision will be
issued. Papers will be either accepted or rejected or recommended for
a second round. Authors of papers recommended for a second round will
be allowed to revise the paper to address the comments and suggestions
made by the program committee. The revisions will undergo a second
round of review before the final notification.
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,
exceeding length limit, or not appropriately structured may also not
be considered. Authors may contact the Program Chairs of the
respective tracks at their contact email addresses below for further
information or clarification. Notification of review decisions will be
emailed by September 30, 2019. Camera-ready papers are due by October
14, 2019. A published proceedings will be available at the conference.
At least one author of each paper must be registered for the
conference in order for the paper to be published in the proceedings.
Presentation of an accepted paper at the conference is a requirement
of publication. Any paper that is not presented at the conference will
not be included in IEEE Xplore.
Easychair Submission link: https://easychair.org/conferences/?conf=hipc2019
Journal Special Issue: Authors of selected high quality papers in HiPC
2019 will be invited to submit extended version of their papers for
possible publication in a special issue of Journal of Parallel and
Distributed Computing.
PLEASE NOTE:
* Authors must register their paper and submit an abstract, typically
a paragraph or two, by June 21, 2019
* Authors must then submit full versions of registered papers by June 28, 2019
* All deadlines are end of day ANYWHERE ON EARTH.
* Links to EasyChair submissions:
https://easychair.org/conferences/?conf=hipc2019
PROGRAM CHAIRS
Ananth Kalyanaraman, Washington State University, USA
George Karypis, University of Minnesota, USA
PROGRAM VICE-CHAIRS
HPC Tracks:
Algorithms: Bora Uçar, CNRS and École normale supérieure de Lyon, France
Applications: Alba Cristina M.A. de Melo, University of Brasilia, Brazil
Architecture: Smruti Ranjan Sarangi, Indian Institute of Technology Delhi, India
System Software: Sriram Krishnamoorthy, Pacific Northwest National
Laboratory, USA
Data Science Tracks:
Scalable Algorithms and Analytics: Srinivasan Parthasarathy, Ohio
State University, USA
Scalable Systems and Software: Gagan Agrawal, Ohio State University, USA
Contact Information
* High Performance Computing tracks:
Ananth Kalyanaraman, Washington State University, USA, ananth(a)wsu.edu
* Data Science tracks:
George Karypis, University of Minnesota, USA, karypis(a)umn.edu
___________________________________________________
HiPC 2019 is co-sponsored by
• IEEE Computer Society Technical Committee on Parallel Processing (TCPP)
• HiPC Education Trust, India
In cooperation with
• ACM Special Interest Group on Algorithms and Computation Theory (SIGACT)
• ACM Special Interest Group on Computer Architecture (SIGARCH)
• FIP Working Group on Concurrent Systems
• Manufacturers' Association for Information Technology (MAIT)
• National Association of Software and Service Companies (NASSCOM)
Apologies for cross-posting. Appreciate if you can distribute this CFP
to your network.
****************************************************************************************
OLA'2020
International Conference on Optimization and Learning: Challenges and
Applications
17-19 Feb 2020
Cadiz, Spain
http://ola2020.sciencesconf.org/
****************************************************************************************
OLA is a conference focusing on the future challenges of optimization
and learning methods and their applications. The conference OLA'2020
will provide an opportunity to the international research community in
optimization and learning to discuss recent research results and to
develop new ideas and collaborations in a friendly and relaxed atmosphere.
OLA'2020 welcomes presentations that cover any aspects of optimization
and learning research such as optimization for learning, learning for
optimization, optimization and learning under uncertainty, new
high-impact applications, parameter tuning, 4th industrial revolution,
hybridization issues, optimization-simulation, meta-modeling,
high-performance computing, parallel and distributed optimization and
learning, surrogate modeling, multi-objective optimization ...
Submission papers: We will accept two different types of submissions:
- S1: Extended abstracts of work-in-progress and position papers
of a maximum of 3 pages
- S2: Original research contributions of a maximum of 10 pages
Important dates:
===============
Submission deadline Sept 20, 2019
Notification of acceptance Nov 9, 2019
Proceedings: Accepted papers in categories S1 and S2 will be published
in the proceedings that will be available at the conference.
In addition, a post-conference SCOPUS indexed Springer book and a
special issue in a Journal are planned to be published. Participants
will be invited to submit extended versions of their work for consideration.
--
***********************************************************************
OLA'2020
Int. Conference on Optimization and Learning
17-19 Feb 2020, Cadiz, Spain
http://ola2020.sciencesconf.org
***********************************************************************
Prof. El-ghazali TALBI
Polytech'Lille, University Lille - INRIA
CRISTAL - CNRS