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original unpublished research that is not currently under review for any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
**11th International Women in HPC Workshop: Diversifying the HPC
Community and Engaging Male Allies**
Sunday November 17th 2019
Denver, Colorado, USA
https://womeninhpc.org/whpc-sc19/workshop
# Call for Lightning Talks
Women-in-HPC will once again attend the Supercomputing conference to
discuss diversity and inclusivity topics. Activities will bring
together women and male allies from across the international HPC
community, provide opportunities to network, showcase the work of
inspiring women, and discuss how we can all work towards improving the
under-representation of women in supercomputing.
The 11th International Women in High Performance Computing (WHPC)
workshop at SC19 in Denver brings together the HPC community to
discuss the growing importance of increasing diversity in the
workplace. This workshop will recognize and discuss the challenges of
improving the proportion of women in the HPC community, and is
relevant for employers and employees throughout the supercomputing
workforce who are interested in addressing diversity.
## Sessions will focus on the following areas:
- Surviving difficult events and how to minimize the impact on your career
- Managing and resolving imposter syndrome
- Building an effective professional network
- How to get a new job or promotion
- Behaviors for inclusion: coping strategies for unconscious bias and
micro-aggression
- Dealing with the guilt while being a parent, guardian and caregiver
- Pointers on making and engaging male allies at workplace
**Call for Lightning Talks: Now Open!**
Deadline for submissions: August 14th 2019 AOE
As part of the workshop, we invite submissions from women in industry
and academia to present their work as a lightning talk. This will
promote the engagement of women in HPC research and applications,
provide opportunities for peer to peer networking, and the opportunity
to interact with female role models and employers. Submissions are
invited on all topics relating to HPC from users and developers. All
abstracts should emphasize the computational aspects of the work, such
as the facilities used, the challenges that HPC can help address and
any remaining challenges etc.
For details please see:
https://womeninhpc.org/whpc-sc19/submit/
# Workshop Committee
- Workshop Chair: Misbah Mubarak, Amazon Web Services, USA
- Co-chair: Gokcen Kestor, Pacific Northwest National Laboratory, USA
- General Chair: Toni Collis, Women-in-HPC co-founder and director
- Invited Talks Chair: Kaoutar El Maghraoui, IBM Thomas J. Watson
Research Center, USA
- Poster and Lightning Talks Chair: Mariam Umar, Intel Corporation, USA
- Posters & Lightning Talks Vice Chair: Weronika Filinger, EPCC,
University of Edinburgh,UK
- Mentoring chair: Mozhgan Kabiri Chimeh, University of Sheffield, UK
# Program Committee (for Early Career Lightning Talks)
- Elsa Gonsioworski, Lawrence Livermore National Laboratory, USA
- Raquell Holmes, Improvscience, USA
- Elizabeth Bautista, NERSC, Lawrence Berkeley National Laboratory, USA
- Jo Adegbola, Amazon Web Services, USA
- Mozghan Kabiri, University of Sheffield, UK
- Karen Divine, Sandia National Laboratory, USA
- Zhiling Lan, Illinois Institute of Technology, USA
- Hadia Ahmed, Lawrence Berkeley National Laboratory, USA
- Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory, USA
- Debbie Bard, Lawrence Berkeley National Laboratory, USA
- Rosa Filgueira, EPCC, UK
-Mahwish Arif, CAM, UK
- Baiou Shi, PSU, USA
- Neelofer Banglawala, EPCC, UK
--
Regards,
Mariam Umar
[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.
---------------------------------------------------------------------
We would appreciate if you could forward this email to interested colleagues.
---------------------------------------------------------------------
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.
[Apologies if you receive multiple copies of this CFP]
========================================================================
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
========================================================================
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
==========
* 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
===================================
This workshop is supported by the VESTEC and LEXIS EU FET H2020 projects, along with PNNL and NCAR
[Apologies if you receive multiple copies of this CFP]
========================================================================
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
========================================================================
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
==========
* 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
===================================
This workshop is supported by the VESTEC and LEXIS EU FET H2020 projects, along with PNNL and NCAR
[Apologies if you receive multiple copies of this CFP]
IA^3 2019
9th Workshop on Irregular Applications: Architectures and Algorithms
http://hpc.pnl.gov/IA3
November 18, 2019
Colorado Convention Center, Denver, CO
In conjunction with SC19
Sponsored by IEEE TCHPC
Accepted papers will be published in the IEEE Digital Library through IEEE TCHPC.
--------------------
Call for Papers
--------------------
Irregular applications occur in many subject matters. While inherently parallel, they exhibit highly variable execution performance at a local level due to unpredictable memory access patterns and/or network transfers, divergent control structures, and data imbalances. Moreover, they often require fine-grain synchronization and communication on large-data structures such as graphs, trees, unstructured grids, sparse matrices, deep nets, tables, and their combinations (such as, for example, attributed graphs). They have a significant degree of latent parallelism, which however is difficult to exploit due to their complex behavior. Current high performance architectures rely on data locality and regular computation to reduce access latencies, and often do not cope well with the requirements of these applications. Furthermore, irregular applications are difficult to scale on current supercomputing machines, due to their limits in fine-grained synchronization and small data transfers.
Irregular applications pertain both to well established and emerging fields, such as machine learning, social network analysis, bioinformatics, semantic graph databases, Computer Aided Design (CAD), and computer security. Many of these application areas also process massive sets of unstructured data, which keep growing exponentially. Emerging supercomputing applications are moving towards a convergence of scientific simulation, data analytics, and learning algorithms, mixed in various ways. Addressing the issues of irregular applications on current and future architectures will become critical to solve the challenges in science and data analysis of the next few years.
This workshop seeks to explore solutions for supporting efficient execution of irregular applications in the form of new features at the level of the micro- and system-architecture, network, languages and libraries, runtimes, compilers, analysis, algorithms. Topics of interest, of both theoretical and practical significance, include but are not limited to:
- Micro- and System-architectures, including multi- and many-core designs, heterogeneous processors, accelerators (GPUs, vector processors, Automata processor), reconfigurable (coarse grained reconfigurable and FPGA designs) and custom processors
- Network architectures and interconnect (including high-radix networks, optical interconnects)
- Novel memory architectures and designs (including processors-in memory)
- Impact of new computing paradigms on irregular workloads (including neuromorphic processors and quantum computing)
- Modeling, simulation and evaluation of novel architectures with irregular workloads
- Innovative algorithmic techniques
- Combinatorial algorithms (graph algorithms, sparse linear algebra, etc.)
- Impact of irregularity on machine learning approaches
- Parallelization techniques and data structures for irregular workloads
- Data structures combining regular and irregular computations (e.g., attributed graphs)
- Approaches for managing massive unstructured datasets (including streaming data)
- Languages and programming models for irregular workloads
- Library and runtime support for irregular workloads
- Compiler and analysis techniques for irregular workloads
- High performance data analytics applications (including graph databases and solutions that combine graph algorithms with machine learning)
- Applications that integrate scientific simulation, data analytics, and learning, and require efficient execution of irregular workloads
Besides regular papers, papers describing work-in-progress or incomplete but sound, innovative ideas related to the workshop theme are also encouraged. We solicit both 8-page regular papers and 4-page position papers. Authors of exciting but not mature enough regular papers may be offered the option of a short 4-page paper and related short presentation.
--------------------
Important Dates
--------------------
Abstract Submission: August 28, 2019
Position or Regular Paper Submission: September 4, 2019
Notification: October 1, 2019
Camera-ready: October 10, 2019
Workshop: November 18, 2019
--------------------
Submissions
--------------------
Submission site: https://submissions.supercomputing.org
Submitted manuscripts may not exceed eight (8) pages in length for regular papers and four (4) pages for position papers including figures, tables and references.
Authors of regular papers will be able to provide up to one (1) additional pages for the Artifact Description (AD) appendix and, after paper acceptance, up to two (2) additional pages for the Artifact Evaluation (AE) appendix.
The templates are available at:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html.
Accepted papers will be published in the IEEE Digital Library through IEEE TCHPC.
--------------------
Artifact Description & Evaluation
--------------------
This edition of the workshop invites authors of regular papers to follow a reproducibility initiative like the main SC Conference, with specific appendices for the Artifact Description (AD) and the Artifact Evaluation (AE). Please refer to the SC reproducibility page for further details on the rationale behind AD and AE: https://sc19.supercomputing.org/submit/reproducibility-initiative/.
Authors of regular papers will be able to use up to one (1) additional page to provide an Artifact Description (AD) Appendix, describing the details of their software environments and computational experiments to the extent that an independent person could replicate their results. This additional page is voluntary, and must focus only on details on software environments and methods to execute the experiments. It should not add details on the proposed technical approaches. If a paper has no computational results, the appendix only needs to mention that computational results are not part of the paper.
Additionally, authors of accepted regular papers will be invited to formally submit their supporting materials to the Artifact Evaluation (AE) process. The process is voluntary, but authors that will participate in the AE will be eligible for the Best Paper Award of the workshop. Supporting materials for the AE include access to the actual software artifact, shared publicly (for example, through the CK - Collective Knowledge - https://github.com/ctuning/ck format), and two (2) further additional pages of the paper that details how to reproduce the results of the paper. For details on how to submit supporting materials to the AE process, please refer to: http://ctuning.org/ae/submission.html. Authors participating in the AE will receive an assessment of the artifact, and the related badge on their paper.
For any additional question on the AD and the AE please contact the Artifact Evaluation Chair Flavio Vella at mailto:Flavio.Vella@unibz.it.
--------------------
Organizers
--------------------
Antonino Tumeo (PNNL), mailto:antonino.tumeo@pnnl.gov
John Feo (PNNL), mailto:john.feo@pnnl.gov
Vito Giovanni Castellana (PNNL), mailto:vitoGiovanni.castellana@pnnl.gov
--------------------
Proceedings Chair
--------------------
Marco Minutoli (PNNL and WSU), mailto:marco.minutoli@pnnl.gov
--------------------
Artifact Evaluation Chair
--------------------
Favio Vella (Free University of Bozen), mailto:Flavio.Vella@unibz.it
--------------------
Technical Program Committee
--------------------
Nesreen Ahmed, Intel, US
Ashwin M. Aji, AMD, US
Kubilay Atasu, IBM Zürich, CH
Scott Beamer, University of California, Santa Cruz, US
Jonathan Beard, ARM, US
Michela Becchi, North Carolina State University, US
Sanjukta Bhowmick, University of North Texas, US
Erik Boman, Sandia National Laboratories, US
David Brooks, Harvard University, US
Aydin Buluç, Lawrence Berkeley National Laboratory, US
Anastasiia Butko, Lawrence Berkeley National Laboratory, US
Tim Davis, Texas A&M University, US
Assefaw Gebremedhin, Washington State University, US
Rajiv Gupta, University of California, Riverside, US
George Karypis, University of Minnesota, US
Peter M. Kogge, Notre Dame University, US
Manoj Kumar, IBM TJ Watson, US
John Leidel, Tactical Computing Labs, US
Kamesh Madduri, Pennsylvania State University, US
José Moreira, IBM TJ Watson, US
Miquel Moretó, Barcelona Supercomputing Center and Universitat Politècnica de Catalunia, ES
Walid Najjar, University of California, Riverside, US
Maxim Naumov, Facebook, US
Fanny Nina-Paravecino, Microsoft, US
Roger Pearce, Lawrence Livermore National Laboratory, US
Cynthia Phillips, Sandia National Laboratories, US
Keshav Pingali, University of Texas, Austin, US
Alejandro Rico, ARM, US
Jason Riedy, Georgia Tech, US
John Shalf, Lawrence Livermore National Laboratory, US
Edgar Solomonik, University of Illinois, Urbana Champaign, US
Ruud van der Pas, Oracle, US
Ana Lucia Varbanescu, University of Amsterdam, NL
Jishen Zhao, University of California, San Diego, US
(sorry for cross postings)
**************************************************************************
CALL FOR PAPERS:
Special Session on High Performance Computing in Modelling and
Simulation (HPCMS)
Within PDP 2020 (www.pdp2020.com)
The 28th Euromicro International Conference on Parallel, and
Network-Based Computing
Västerås (Sweden)
11-13 March 2020
http://www.pdp2020.com/specialsessions/hpcms/hpcms.html
Deadline: September 15th, 2019
Contact: William Spataro - spataro(a)unical.it
*************************************************************************
AIMS AND SCOPE
The development of models through which computers can simulate the
evolution of artificial and natural systems is fundamental for the
advancement of Science. In the last decades, the increasing power of
computers has allowed to considerably extend the application of
computing methodologies in research and industry, but also to the
quantitative study of complex phenomena. This has permitted a broad
application of numerical methods for differential equation systems
(e.g., FEM, FDM, etc.) on one hand, and the application of alternative
computational paradigms, such as Cellular Automata, Genetic
Algorithms, Neural networks, Swarm Intelligence, etc., on the other.
These latter have demonstrated their effectiveness for modelling
purposes when traditional simulation methodologies have proven to be
impracticable.
Following the success of our past HPCMS workshops at PDP (since 2014),
we are glad to invite you to our sixth edition which will take place
in Vasteras (Västerås) (Sweden).
An important mission of the HPCMS Workshop is to provide a platform
for a multidisciplinary community composed of scholars, researchers,
developers, educators, practitioners and experts from world leading
Universities, Institutions, Agencies and Companies in Computational
Science, and thus in the High Performance Computing for Modelling and
Simulation field.
HPCMS intent is to offer an opportunity to express and confront views
on trends, challenges, and state-of-the art in diverse application
fields, such as engineering, physics, chemistry, biology, geology,
medicine, ecology, sociology, traffic control, economy, etc.
Topics of interest include, but are not limited to, the following:
- High-performance computing in computational science:
intra-disciplinary and multi-disciplinary research applications
- Complex systems modelling and simulation
- Cellular Automata, Genetic Algorithms, Neural networks, Swarm
Intelligence implementations
- Integrated approach to optimization and simulation
- MPI, OpenMP, GPGPU applications in Computational Science
- Optimization algorithms, modelling techniques related to
optimization in Computational Science
- High-performance Software developed to solve science (e.g.,
biological, physical, and social), engineering, medicine, and
humanities problems
- Hardware approaches of high performance computing in modeling and simulation
IMPORTANT DATES
Paper submission: 15 September 2019
Acceptance notification: 20 October 2019
Camera ready due: 11 December 2019
Conference: 11 - 13 March 2020
Submission guidelines
Prospective authors should submit a full paper not exceeding 8 pages
in the IEEE Conference proceedings format (IEEEtran, double-column,
10pt). Double-bind review: the first page of the paper should contain
only the title and abstract; in the reference list, references to the
authors own work should appear as "omitted for blind review" entries.
For submission, please use the following link and select the HPCMS
session: http://www.easychair.org/conferences/?conf=pdp2020 and select
the "High Performance Computing in Modelling and Simulation" track.
Manuscript submission Publication
All accepted papers will be included in the same volume, published by
the Conference Publishing Services (CPS). The Final Paper Preparation
and Submission Instructions will be published after the notification
of acceptance. Authors of accepted papers are expected to register and
present their papers at the Conference. Conference proceedings will be
submitted for inclusion in Xplore and the CSDL, and for indexing,
among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge.
Special Issue
As for previous editions, organizers of the HPCMS session are planning
a Special Issue of an important international ISI Journal, based on
distinguished papers that will be accepted for the session.
Organizers
William Spataro - University of Calabria, Italy
Georgios Sirakoulis - Democritus University of Thrace, Greece
Giuseppe A. Trunfio - University of Sassari, Italy
Rocco Rongo, University of Calabria, Italy
Andrea Giordano, ICAR-CNR, Italy
Program Committee
Angelos Amanatiadis, Democritus University of Thrace, Greece
Donato D'Ambrosio, University of Calabria, Italy
Pawel Topa, AGH University of Science and Technology, Poland
Gianluigi Folino, ICAR-CNR, Italy
Lou D'Alotto, York College/CUNY, New York, USA
Antonios Gasteratos, Democritus University of Thrace, Greece
Ioakeim Georgoudas, Democritus University of Thrace, Greece
Marco Beccutti, University of Torino, Italy
Rolf Hoffmann, Darmstadt University, Germany
Ioannis Karafyllidis, Democritus University of Thrace, Greece
Yaroslav Sergeyev, University of Calabria, Italy
Antisthenis Tsompanas, University of the West of England, UK
Rocco Rongo, University of Calabria, Italy
Georgios Sirakoulis, Democritus University of Thrace, Greece
William Spataro, University of Calabria, Italy
Giuseppe A. Trunfio, University of Sassari, Italy
Marco Villani, University of Modena and Reggio Emilia, Italy
Jaroslaw Was, AGH University of Science and Technology, Poland
Davide Spataro, ASML, The Netherlands
Massimo Cafaro, University of Salento, Italy
Andrea Giordano, ICAR-CNR, Italy
Mario Cannataro, University Magna Graecia of Catanzaro, Italy
Gihan R. Mudalige, University of Warwick, UK
Alessio De Rango, University of Calabria, Italy
--
°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°
William Spataro
Department of Mathematics & Computer Science
High Performance Computing Center
University of Calabria
I-87036 Arcavacata di Rende (CS)
Italy
Phone(s) : +39.0984.49.3691 / 4875 / 6464
Fax : +39.0984.493570
Member of the OpenCAL Team (https://github.com/OpenCALTeam)
Web: www.mat.unical.it/spataro
Email: spataro(a)unical.it
-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°
**********************************************************************
We apologize if you received multiple copies of this Call for Papers
Please feel free to distribute it to those who might be interested
**********************************************************************
First Workshop on Data Science for Future Energy Systems - HiPC Workshop 2019
https://hipc.org/dsfes
17-20 December 2019 Hyderabad, India
CALL FOR WORKSHOP PAPER
An Energy System is defined as a system primarily designed to supply
energy services to end users. Such systems form the backbone of modern
economy and include power grids, oilfields, heating/cooling systems,
etc. The design of efficient, reliable and scalable Energy Systems for
the future requires making them smarter and transitioning them into
Future Energy Systems via novel data driven solutions built on top of
the existing monitoring and control infrastructure.
The goal of this workshop is to highlight and encourage discussions
regarding novel applications of data science and data analytics
techniques in the domain of Energy Systems such as smart (power)
grids, smart oilfields, smart heating/cooling systems etc. Data driven
techniques enabling transition to Future Energy Systems via improved
sustainability and electrification of the energy systems, Uberization
of the energy systems, mobility changes due to future energy systems,
etc. are solicited.
This workshop seeks submissions related to the following topic areas
as applicable to the domain of future energy systems:
* Discovery of knowledge and insights using data
* Data Analytics Applications: Learning, prediction, anomaly
detection, pattern recognition, search, mining, etc.
* Data management/infrastructure
* Data privacy/security
* Data driven modeling
* Data driven decision making
* Data driven techniques enabling energy transition for improved
sustainability and electrification
* Uberization of energy systems enabling peer-to-peer transactions,
minimizing distance between the producer and consumers, user rating
system for quality of service, etc.
* Mobility changes due to future energy systems
MANUSCRIPT GUIDELINES
Submitted manuscripts should be structured as technical papers and may
not exceed six (6) single-spaced double-column pages using 10-point
size font on 8.5 x 11 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. 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.
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.
Presentation of an accepted paper at the workshop is a requirement of
publication. Any paper that is not presented at the conference will
not be included in proceedings.
IMPORTANT DATES
Paper Submission: September 20th, 2019
Notification to Authors: October 14th, 2019
Workshop camera-ready: October 28th, 2019
SUBMISSION PORTAL
Easychair Submission Link: https://easychair.org/conferences/?conf=dsfes2019
ORGANIZING COMMITTEE
Sanmukh R. Kuppannagari, University of Southern California, USA
Chayan Sarkar, TCS Research & Innovation, India
PROGRAM COMMITTEE MEMBERS
Ram Balachandran, India
Charalampos Chelmis, University of Albany, USA
Sanmukh R. Kuppannagari (organizer), University of Southern California, USA
Akshay Uttama Nambi, Microsoft Research, India
Anand Panangadan, California State University, USA
Laks Raghupati, Shell, India
Kiran Sajjanshetty, Voyage Auto Inc., USA
Chayan Sarkar (organizer), TCS Research & Innovation, India
Ajitesh Srivastava, University of Southern California, USA
Mahima Agumbe Suresh, San Jose State University, USA