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: 26 August 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: 26 August 2019 (EXTENDED)
Paper acceptance notification: 20 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
Registration closes Mon Aug 19, Abstracts for contributed talks
close Fri Aug 16 for:
Challenges in High Performance Computing
2-6 September 2019
Location:
Hanna Neumann Building (145),
The Australian National University,
Canberra, ACT, Australia
Website:
https://maths.anu.edu.au/news-events/events/challenges-high-performance-com…
About:
Scientific computing is often termed as the "third way to do science",
alongside theory and experiments. The focus of the workshop is to
investigate the current challenges of solving large scale problems on
high performance computers. To achieve optimal performance it is
critical to incorporate techniques that are at the forefront of both
the mathematical and computer sciences. Consequently, the workshop has
a strong multidisciplinary focus covering the five important areas of:
Algorithms, Applications, Middleware, Resilience and Software.
Each day of the conference will address one of these topics. A review
lecture will be given in the morning by an eminent researcher in that
area. Participants are invited to give more specialised talks in the
afternoon, followed by a discussion session.
The major aim of the workshop is to foster cooperation and
communication between members of each of these five different
communities, as well as to strongly encourage student participation.
Invited Speakers:
Algorithms: David Keyes, King Abdullah University of Science and Technology
Resilience: Ulrich Ruede,Friedrich-Alexander-University of Erlangen-Nuremberg
Software: Lois Curfman McInnes, Argonne National Laboratory
Applications: Raquel Salmeron, Airservices Australia
Middleware: George Boscila, University of Tennessee
Organising committee:
Brendan Harding, University of Adelaide
Stuart Hawkins, Macquarie University
Lilia Ferrario, Australian National University
Linda Stals, Australian National University
Peter Strazdins, Australian National University
Contact:
Brittany Joyce
admin.research.msi(a)anu.edu.au
Part of the Special Year 2019: Computational Mathematics
https://maths.anu.edu.au/news-events/event-series/special-year-2019-computa…
--
Regards, Peter
------------------------------------------------------------------------
Peter Strazdins, PhD GCHE, SIEEE SFHEA
Research School of Computer Science
ANU College of Engineering and Computer Science
CSIT Building 108, North Rd
The Australian National University, Canberra ACT 2601 AUSTRALIA
T: +61 2 6125 5140 F: +61 2 6125 0010
W: http://cs.anu.edu.au/~Peter.Strazdins
E: Peter.Strazdins(a)cs.anu.edu.au
------------------------------------------------------------------------
# JOURNAL ON DATA SEMANTICS
## SPECIAL ISSUE: BIG DATA SEMANTICS
https://homes.di.unimi.it/ceravolo/Call-BDS-JDS.pdf
### Call for papers
The complexity of Big Data applications in conjunction with the lack of standards for representing their
components, computations, and processes, have made the design of data-intensive applications a failure
prone and resource-intensive activity. One of the reasons behind it can be identified in a lack of sound
modeling practices. Indeed, multiple components and procedures must be coordinated to ensure a high level
of data quality and accessibility for the application layers, e.g. data analytics and reporting. We believe that a
major challenges of Big Data research requires - even more than developing new analytics - devising
innovative data management techniques capable to deliver functional and non-functional properties like among
others: data quality, data integration, metadata discovery, reconciliation and augmentation, model compliance,
or regulatory compliance.
Data Semantics research can address such challenges in future research according to the FAIR principles, for
implementing design procedures that generate Findable, Accessible, Interoperable, and Reusable data.
Methods, principles, and perspectives developed by the Data Semantics community can significantly
contribute to this goal. Solutions for integrating and querying schema-less data, for example, have received
much attention. Standards for metadata management have been proposed to improve data integration among
silos and to make data more discoverable and accessible through heterogeneous infrastructures. A further
level of application of Data Semantics principles into Big Data technologies involves Representing Processes,
i.e. representing the entire pipeline of technologies connected to achieve a specific solution and make this
representation shareable and verifiable to support a mature implementation of the Big Data production cycle.
This special issue of the Journal on Data Semantics aims at sharing research and practical achievements in
the field of Big Data integration, storage, and processing. Topics of interest for submission include, but are not limited to:
• Big Data Management
• Metadata Management
• Big Data Persistence and Preservation
• Big Data Quality and Provenance Control
• Big Data Storage and Retrieval
• Big Data Integration Architectures and Techniques
• Data Source Discovery
• Big Data Profiling and Semantics Discovery
• Querying Heterogeneous Big Data Repositories
• Caching and Materializing Query Results
• Quality of Big Data Services
• Big Data Service Performance Evaluation
• Big Data Service Reliability and Availability
• Reproducibility of Big Data Services
• Verifiability of Big Data Services
• Assurance in Big Data Services
• Big Data Visualization
• Real Time Visualisation
• Visualization Analytics for Big Data
• Big Social Media Mining
• Big Data Security and Privacy
• Big Data System Security and Integrity
• Big Data Information Security
• Privacy-Preserving Big Data Analytics
• Usable Security and Privacy for Big Data
• Performance of Big Data Architectures
• Query Optimization
• Optimal Selection of Analytics
• Physical Structures
## Guest Editors
Paolo Ceravolo, Università degli Studi di Milano, Italy
Robert Wrembel, Poznan University of Technology, Poland
Sylvio Barbon Junior, State University of Londrina, Brazil
## Editorial Board
Antonia Azzini, Consortium for the Technology Transfer (C2T), Italy
Clodis Boscarioli, State University of West Paraná - UNIOESTE, Brazil
Fadila Bentayeb, Université Lyon 2, France
Omar Boussaid, Université Lyon 2, France
Philippe Cudre-Mauroux, University of Fribourg, Switzerland
Jerome Darmont, Université Lyon 2, France
Luke Immes, University of Massachusetts Lowell, USA
Maurice van Keulen, University of Twente, The Netherlands
Mariangela Lazoi, University of Salento, Italy
Marcello Leida, StrabioDB, Spain
M. Teresa Gómez López, University of Seville, Spain
Azzam Mourad, Lebanese American University of Beirut, Lebanon
Jaroslav Pokorny, Charles University, Czech Republic
Kai-Uwe Sattler, TU Ilmenau, Germany
Darja Solodovnikova, University of Latvia, Latvia
Sean Wolfgand Matsui Siqueira, Federal University of Rio de Janeiro
State, Brazil
Fadi Zaraket, American University of Beirut, Lebanon
Bruno Bogaz Zarpelão, State University of Londrina, Brazil
## Timetable:
- 10 Nov 2019 - paper submission
- 25 Jan 2020 - author notification
- 15 Mar 2020 - revision submission
- 25 Apr 2020 - final acceptance notification
- 10 Jun 2020 - camera-ready submission
##Submission Guidelines
JoDS is looking for high-quality papers on any topic relevant to the journal, including regular papers, survey
papers, industry papers, short papers, position papers, and reports.
Submissions should contain original material that has not been submitted or published elsewhere. The
submission should include an abstract and keywords, authors, and specify which author serves as contact
author.
All submissions will be carefully reviewed by at least three experts.
Submissions have to be formatted according to the journal’s guidelines at
http://www.springer.com/13740
and have to be uploaded into Springer’s Electronic Management System at
https://www.editorialmanager.com/jods
JoDS is abstracted/indexed in: Google Scholar, DBLP, OCLC, Summon by ProQuest.
Selected sample articles are available at http://www.springer.com/13740
ISSN: 1861-2032 (print version)
ISSN: 1861-2040 (electronic version)
Any questions should be addressed to the Guest Editors
Paolo Ceravolo, paolo.ceravolo(a)unimi.it
Robert Wrembel, robert.wrembel(a)cs.put.poznan.pl
Sylvio Barbon Junior, barbon(a)uel.br
The Department of Computer Science at Hong Kong Baptist University,
presently offering BSc, MSc, MPhil, and PhD programmes, invites outstanding
applicants for the following position.
*Research Assistant Professor in Data Science and Engineering
(PR0059/19-20)*
The Research Assistant Professor position is created and funded as part of
the strategic research development initiatives in the Department. The
appointee will be provided with a conducive research environment, and will
work within an established group of faculty in the Department. He/she is
also expected to perform group-based high-impact research and to undertake
some teaching duties.
Applicants should possess a PhD degree in Computer Science, Computer
Engineering, Information Systems, or a related field, and demonstrate
abilities to conduct high-quality research in one of the following areas:
(i) data analytics and information management; (ii) data security and
privacy.
Initial appointment will be made on a fixed-term contract of two to three
years. Re-appointment thereafter will be subject to mutual agreement.
For enquiry, please contact Prof Jianliang Xu (email: xujl(a)comp.hkbu.edu.hk.
More information about the Department can be found on its website (
http://www.comp.hkbu.edu.hk).
*Salary will be commensurate with qualifications and experience.*
*Application Procedure:*
Applicants are invited to submit their applications at the HKBU
e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications,
preferably three best ones out of their most recent publications/works.
Applicants should also request two referees to send in confidential letters
of reference, with *PR* number (stated above) quoted on the letters, to the
Personnel Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not
invited for interview four months after the closing date may consider their
applications unsuccessful. All application materials including publication
samples, scholarly/creative works will be disposed of after completion of
the recruitment exercise. Details of the University's Personal Information
Collection Statement can be found at http://pers.hkbu.edu.hk/pics.
The University reserves the right not to make an appointment for the post
advertised, and the appointment will be made according to the terms and
conditions then applicable at the time of offer.
*Closing date: 30 August 2019 (or until the position is filled)*
URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=532
==========================================================================
** Call for Papers **
==========================================================================
Fifth International Workshop on
Heterogeneous High-performance Reconfigurable Computing (H^2RC 2019)
==========================================================================
Held in conjunction with Supercomputing 2019
and
In cooperation with the
IEEE Technical Consortium on High Performance Computing (TCHPC)
==========================================================================
Sunday, November 17, 2019 (ALL DAY)
Denver, CO
http://h2rc.cse.sc.edu
==========================================================================
Submission Deadline:
August 15, 2019 (4- and 8- page papers)
Accepted 8-page manuscripts published/archived by IEEE
(See below for descriptions of submission tracks.)
==========================================================================
As conventional von-Neumann architectures are suffering from rising power
densities, we are facing an era with power, energy efficiency, and cooling
as first-class constraints for scalable HPC. FPGAs can tailor the hardware
to the application, avoiding overheads and achieving higher hardware
efficiency than general-purpose architectures. Leading FPGA manufacturers
have recently made a concerted effort to provide a range of higher-level,
easier-to-use high-level programming models for FPGAs. Much of the
work in FPGA-based deep learning is built on these frameworks.
Such initiatives are already stimulating new interest within the HPC
community around the potential advantages of FPGAs over other architectures.
With this in mind, this workshop, now in its fifth year, brings together
HPC and heterogeneous-computing researchers to demonstrate and share
experiences on how newly-available high-level programming models, including
OpenCL, are already empowering HPC software developers to directly leverage
FPGAs, and to identify future opportunities and needs for research in this
area.
==========================================================================
Submission Tracks and Contribution Selection:
==========================================================================
Submissions are solicited for two tracks:
Track 1: Full-length papers (8 pages) for 25-minute oral
presentation and publication in proceedings archived by IEEE TCHPC.
Track 2: Extended abstracts (4 pages) for 15-minute oral presentation
without publication.
Track 1 is targeted at technical papers containing a high level of
implementation detail and analysis discussion of experimental results.
Track 1 is suited for members of the academic and national lab community who
prefer to have their work peer-reviewed, indexed and archived by IEEE.
Track 2 is targeted at industrial contributions that describe new
capabilities and opportunities offered by emerging technologies and products,
or work in progress presentations by the academic and national lab
community. The emphasis of this track is to initiate a discussion with the
audience.
All submissions are reviewed and evaluated by at least three members of our
technical program committee. From the TPC evaluation of each
submission, the organizing committee will select papers for presentation
based on a criteria that equally weighs scientific merit and level of interest and
relevance to the HPC community.
==========================================================================
Topics:
==========================================================================
1. Improvement of performance or efficiency of HPC or data center applications with
FPGAs
2. System integration of FPGAs in clouds and HPC systems
3. Leveraging reconfigurability
4. Benchmarks
6. Programming languages, tools, and frameworks
7. Future-gazing
==========================================================================
Important dates:
==========================================================================
Submission Deadline: August 15, 2019
Acceptance Notification: September 15, 2019
Camera-ready Manuscripts Due: October 11, 2019
Workshop Date: November 17, 2019
==========================================================================
Organizing Committee:
==========================================================================
Jason D. Bakos, University of South Carolina
Michaela Blott, Xilinx
Franck Cappello, Argonne National Lab
Torsten Hoefler, ETH Zurich
Christian Plessl, Paderborn University, Germany
==========================================================================
Technical Program Committee:
==========================================================================
David Andrews, University of Arkansas
Rizwan Ashraf , Oak Ridge National Laboratory
Paul Chow, University of Toronto
Hans Eberle, Nvidia
Ken Eguro, Microsoft Research
Xin Fang, Northeastern University
Alan George, University of Pittsburgh
Christoph Hagleitner, IBM
Martin Herbordt, Boston University
Zheming Jin, Argonne National Laboratory
Andreas Koch, TU Darmstadt
Miriam Leeser, Northeastern University
Tiffany Mintz, Oak Ridge National Laboratory
Viktor Prasanna, University of Southern California
Yaman Umuroglu, Xilinx Research
--
Jason D. Bakos, Ph.D.
Professor
Dept. of Computer Science and Engineering
Univ. of South Carolina
301 Main St., Suite 3A01L
Columbia, SC 29208
803-777-8627 (voice), 803-777-3767 (fax)
http://www.cse.sc.edu/~jbakos
jbakos(a)cse.sc.edu
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: 5 August 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: 5 August 2019 (EXTENDED)
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
[Apologies for any cross posting]
CALL FOR PAPERS
=====================================================================
SPECIAL COLLECTION: PARALLEL COMPUTING IN EVOLUTIONARY BIOINFORMATICS
https://journals.sagepub.com/page/evb/collections/special-collections/paral…
Journal: Evolutionary Bioinformatics
JCR Impact Factor (2018): 2.203 (Q2)
Publisher: SAGE Publishing, USA
Accepted papers will be published continuously from Aug. 2019 to Aug 31, 2020.
Publication in approximately 4-5 weeks after final acceptance.
=====================================================================
In the last decade, the omics revolution and the application of deep AI technologies to evolutionary bioinformatics have significantly boosted the computing power and storage demands of this field.
At the same time, high performance computing (HPC) has also witnessed a revolution that has turned it into a jungle populated by very different types of parallel computing systems exploiting parallelism at different levels. They include multi- and many-core CPUs, GPUs, FPGAs, TPUs or heterogeneous systems joining together several of those types of devices. In addition, cloud computing techniques can also contribute to foster the application of bioinformatics algorithms by turning them into a service (Bioinformatics as a Service, BaaS).
The aim of this Special Collection is to present the state of the art on the emerging challenges and achievements regarding the use of parallel computing hardware and software techniques applied to evolutionary bioinformatics and computational evolutionary biology.
TOPICS:
Topics of interest include, but are not limited to, the application of the following hardware or software techniques to accelerate evolutionary bioinformatics applications:
• Multicore and manycore CPUs
• Clusters
• Emerging hardware accelerators: GPUs, FPGAs, TPUs
• Cloud computing
• Grid computing
• Parallel deep learning
• Neuromorphic computing
• Unconventional computing techniques
GUEST EDITORS:
Dr. José Luis Guisado Lizar, University of Seville, Spain. Email: jlguisado(a)us.es
Dr. Juan Antonio Gómez Pulido, University of Extremadura, Spain. Email: jangomez(a)unex.es
Dr. Fernando Díaz del Río, University of Seville, Spain. Email: fdiaz(a)us.es
ABOUT SPECIAL COLLECTIONS:
A Special Collection is an opportunity for an open access journal to cultivate a collection of articles around a specific topic, meeting/conference, or a newsworthy development, much in the way a Special Issue functions for a subscription journal. Special Collections are highlighted on the homepage for increased visibility and in most cases receive their own dedicated marketing efforts.
OPEN ACCESS ARTICLE PROCESSING CHARGE (APC) INFORMATION: 50% off of the current standing APC.
Evolutionary Bioinformatics is an open access, peer-reviewed journal. Each article accepted by peer review is made freely available online immediately upon publication, is published under a Creative Commons license and will be hosted online in perpetuity. There is no fee for submitting an article. If, after peer review, your manuscript is accepted for publication, a one-time article processing charge (APC) is payable. Articles invited to submit to a Special Collection are eligible for a discounted Article Processing Charge (APC). Should your article be accepted, you will receive 50% off of the current standing APC, which you can find listed on the journal homepage.
MANUSCRIPT PREPARATION AND SUBMISSION:
Please select the Special Collection title when prompted during the submission process to indicate your interest in publishing in this Special Collection.
Follow the guidelines in the Special Collection web page:
https://journals.sagepub.com/page/evb/collections/special-collections/paral…
---
Dr. José Luis Guisado
Associate Professor, tenured (Profesor Titular de Universidad)
Computer Architecture and Technology Department
School of Computer Engineering
University of Seville
Avda. Reina Mercedes, S/N
41012-Sevilla, Spain
Tel.: (+34) 954 55 62 41
E-mail: jlguisado(a)us.es
Web: http://personal.us.es/jlguisado
Twitter: @JLGuisado
** Submission deadline is the end of this week **
=====================================
|| EuroMPI 2019 - Call for Posters ||
=====================================
http://eurompi19.inf.ethz.ch/node/13
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
http://eurompi19.inf.ethz.ch/node/13
Poster submissions should be submitted to the EuroMPI 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.
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We would appreciate if you could forward this email to interested colleagues.
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The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.
[Apologies if you receive multiple copies of this CFP]
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CALL FOR PAPERS
First international workshop on HPC for Urgent Decision making (UrgentHPC)
In conjunction with SC19: The International Conference for
High Performance Computing, Networking, Storage and Analysis,
Sunday afternoon November 17, 2019, Denver, Colorado, USA.
In cooperation with IEEE TCHPC.
https://www.urgenthpc.com
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Paper submission deadline: August 14, 2019 (AoE)
Author notification: September 10, 2019
Camera ready deadline: September 30, 2019
Scope
=====
Responding to disasters such as wildfires, hurricanes, extreme flooding, earthquakes, tsunamis, winter weather conditions, and accidents; technological advances are creating exciting new opportunities that have the potential to move HPC well beyond traditional computational workloads. Whilst HPC has a long history of simulating disasters, whatís missing to support emergency, urgent, decision making is fast, real-time acquisition of data and the ability to guarantee time constraints.
Our ability to capture data continues to grow very significantly, and combining high velocity data and live analytics with HPC models can aid in urgently responding to real-world problems, ultimately saving lives and reducing economic loss. It's not just responding to disasters, but also making urgent decisions addressing more general issues such as human health emergencies and global diseases. The challenges here are significant, but if HPC can be proven as a tool in responding to these real-world issues, the impact for our community is huge.
Leveraging HPC for urgent decision making requires expertise in a wide range of areas, from dealing with real-time data, to experience in generating results within a specific time frame (real-time constraints), and generating visualizations enabling front-line decision makers to make correct choices first time, every time. It isn't just technical challenges, but also policy issues that also need to be considered such as utilizing our HPC machines in a more interactive manner to enable the urgent exploration of numerous disaster responses.
This workshop will bring together stakeholders, researchers and practitioners from across the HPC community to identify and tackle issues involved in using HPC for urgent decision making. Success stories, case-studies and challenges will be shared, with the goal of further building up a community around leveraging HPC as an important tool in urgently responding to disasters and societal challenges.
Call for Papers
============
We invite you to submit both full and hot-topic research papers detailing original work in the area of using HPC for making urgent decisions. Topics of interest for workshop submissions include (but are not limited to):
* Example use-cases and case-studies that use HPC for urgent decision making
* Techniques for integrating HPC workflows with real-time data
* Approaches to verify and validate unreliable real-time data, for instance from sensors, IoT and satellites
* System design for data reduction and pre-processing at source, for instance using edge computing and heterogeneous resources such as FPGAs
* The use of data formats and conversion techniques to support the handling of data from numerous and diverse sources
* Algorithmic techniques to guarantee result generation in specific time frames, such as result refinement which generates more accurate results as time progresses
* Studies of leveraging HPC for workloads with real-time time constraints
* Changes to existing HPC technologies and policies that are required to support using HPC interactively
* The ability for HPC codes to adapt their resource requirements dynamically, for instance via elastic compute
* Visualization and presentation techniques to support rapid and accurate urgent decision making by the end user
* Reduction and feature extraction of results to highlight critical issues of interest
* Complimenting results with provenance data for additional context and certainty
* Data analysis techniques for making urgent decisions in response to disasters
Paper Submission Guidelines
======================
* Papers should be submitted electronically via the SC19 Submission Page (https://submissions.supercomputing.org).
* All papers will be peer-reviewed and accepted papers published via IEEE TCHPC
* Papers will be published via IEEE TCHPC and as such they must follow the IEEE formatting, templates available athttp://www.ieee.org/conferences_events/conferences/publishing/templates.h…
* Full paper submissions are limited to 10 pages and hot-topic submissions 4 pages. The page limit includes figures, tables, and appendices, but does not include references, for which there is no page limit.
* Submitted papers should not have appeared in or be under consideration for a different workshop, conference or journal.
* In submitting the paper, the authors acknowledge that at least one author of an accepted submission will register for and attend the workshop.
Questions?
=========
There is more information available at https://www.urgenthpc.com and please feel free to email any questions to Nick Brown (n.brown(a)epcc.ed.ac.uk<mailto:n.brown@epcc.ed.ac.uk>)
Organizers
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* Nick Brown (EPCC at the University of Edinburgh)
* Vinay Amatya (PNNL, DoE)
* Deidre Brucker (NCAR)
* Thierry Goubier (CEA)
* Vyacheslav Olshevsky (KTH)
Program Committee
=================
* Guillaume Colin de Verdière (CEA)
* Robert Rallo (PNNL)
* Antonino Tumeo (PNNL)
* Gerald Baumgartner, Louisiana State University
* Gordon Gibb, EPCC at the University of Edinburgh
* Stefano Markidis, KTH
* Andreas Gerndt, DLR
* Johannes Guenther, Intel
* Sabri Pllana, Linnaeus University
* Peter Messmer, NVIDIA
* John Feo, Pacific Northwest National Laboratory
* Steven W.D. Chien, KTH
* Sergio Rivas-Gomez, KTH
* Piero Poletti, FBK
* Giorgio Guzzetta, FBK
Supporting projects & organizations
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This workshop is supported by the VESTEC and LEXIS EU FET H2020 projects, along with PNNL and NCAR