We apologize if you receive multiple copies of this notice.
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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original unpublished research that is not currently under review for any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
**********************************************************************
We apologize if you received multiple copies of this message
Please feel free to distribute it to those who might be interested
**********************************************************************
HiPC 2020 VIRTUAL CONFERENCE - DEADLINES APPROACHING
*********************************************************************
IEEE International Conference on High Performance Computing, Data, and
Analytics (HiPC) serves as a forum to present current work by
researchers from around the world as well as highlight activities in
Asia in the areas of high performance computing and data science. The
meeting focuses on all aspects of high performance computing systems,
and data science and analytics, and their scientific, engineering, and
commercial applications.
Due to the COVID-19 pandemic, HiPC 2020 will be held virtually this
year. The registration fees for authors will be reduced, and details
regarding the same will be communicated later. We are also workin with
the sponsors to offer complimentary access to the online proceedings
publication as well as participation in the virtual meeting.
Upcoming Deadlines for HiPC 2020 are as follows:
Abstract Registration: July 1, 2020
Paper Submission Deadline: July 8, 2020
For more details, please visit: https://hipc.org/
Call for Papers can be found at https://hipc.org/call-for-papers/
[Please accept our apologies if you receive multiple copies of this message.]
IA^3 2020
10th Workshop on Irregular Applications: Architectures and Algorithms
http://hpc.pnl.gov/IA3
November 15, 2020
Georgia World Congress Center, Atlanta, GA
In conjunction with SC20
Sponsored by 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, 2020 (AoE)
Position or Regular Paper Submission: September 4, 2020 (AoE)
Notification: September 28, 2020
Artifact Evaluation: September 28, 2020 - October 10, 2020
Camera-ready: October 10, 2020
Workshop: November 15, 2020
--------------------
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 (excluding 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://sc20.supercomputing.org/submit/transparency-reproducibility-initiat…
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. Note that differently from the main conferene, this additional page is voluntary (not mandatory - i.e., if a paper has no computational results, do not attach it) for the workshop, 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.
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, Biagio Cosenza, at bcosenza(a)unisa.it.
--------------------
Organizers
--------------------
Antonino Tumeo (PNNL), antonino.tumeo(a)pnnl.gov
John Feo (PNNL), john.feo(a)pnnl.gov
Vito Giovanni Castellana (PNNL), vitoGiovanni.castellana(a)pnnl.gov
--------------------
Proceedings Chair
--------------------
Marco Minutoli (PNNL and WSU), marco.minutoli(a)pnnl.gov
--------------------
Artifact Evaluation Chair
--------------------
Biagio Cosenza (University of Salerno), bcosenza(a)unisa.it
--------------------
Technical Program Committee
--------------------
Nesreen Ahmed, Intel, US
Johnathan Alsop, AMD, US
Eishi Arima, University of Tokyo, JP
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, SNL, US
David Brooks, Harvard University, US
Prerna Budhkar, Intel, US
Aydin Buluc, LBNL, US
Anastasiia Butko, LBNL, US
Assefaw Gebremedhin, Washington State University, US
Rajiv Gupta, University of California, Riverside, US
Peter M. Kogge, Notre Dame University, US
John Leidel, Tactical Computing Lab, US
Kamesh Madduri, Pennsylvania State University
José Moreira, IBM Research, US
Miquel Moretó, Barçelona Supercomputing Center, ES
Maxim Naumov, Facebook, US
Fanny Nina-Paravecino, Microsoft, US
Roger Pearce, LLNL, US
Keshav Pingali, University of Texas, Austin, US
Alejandro Rico, ARM, US
Jason Riedy, Georgia Tech, US
Thomas B. Rolinger, University of Maryland, US
Kentaro Sano, RIKEN, JP
John Shalf, LBNL, US
Shaden Smith, Microsoft, US
Tyler Sorensen, Princeton, US
Ruud van der Pas, Oracle, NL
Ana Lucia Varbanescu, University of Amsterdam, NL
Flavio Vella, Free University of Bozen, IT
Other members TBD
Hello,
First, our sincerest apologies if you have received this message across multiple platforms, but we want to be sure that you hear about Maple Conference 2020!
That's right, Maple Conference 2020 is happening November 2-6, 2020. This conference is dedicated to exploring different aspects of the math software Maple, including Maple's impact on education, new symbolic computation algorithms and techniques, and the wide range of Maple applications. Attendees will have the opportunity to learn about the latest research, share experiences, and interact with Maple developers.
The conference will take place online, and will include live presentations and discussions as well as and recordings and chatrooms, in order to accommodate time zones. Maplesoft staff will also offer Maple training sessions on a variety of topics during the conference.
Call for Presentations
Maple Conference 2020 invites submissions of proposals for presentations on a range of topics related to Maple, falling into three broad categories:
Maple in Education
Topics could include, but are not limited to:
* Effective ways to use Maple as a tool to support remote learning or hybrid courses
* Innovative uses of Maple in the classroom (new ways to approach old problems, methods for using Maple to teach courses outside of traditional core math, impact on the curriculum, etc.)
* Measurable improvements in student performance after integrating Maple into a course
* Classroom tips and techniques/best practices drawn from experience
Algorithms and Software
Topics could include, but are not limited to:
* Symbolic and symbolic-numeric methods for solving mathematical problems, from any field
* Algorithm optimization and performance tuning techniques
* Effective use of types and data representations for particular problems or domains
* User interfaces for mathematical problem solving
Applications of Maple
Topics could include, but are not limited to:
* Applications that use Maple in unusual settings or in unusual ways
* Applications that push or extend the limit of what Maple can do
* Applications that explore critical world problems
* Applications that combine Maple with other technology
All presentation proposals will be reviewed by the conference organizing committee. If the proposal is accepted, the submitter will be invited to present their work at the conference.
After the conference, all presenters and invited speakers will be invited to submit a full paper for inclusion in the conference proceedings. These submissions will undergo peer-review, and the decision about acceptance or rejection lies with the Maple Conference 2020 Program Committee<https://www.maplesoft.com/mapleconference/Papers-and-Presentations.aspx>.
Presentation Proposals
Your presentation proposal should be in the form of a title and abstract for your proposed talk. Abstracts should be under one page/400 words in length, and must be in English. If your presentation proposal is accepted, at least one author is expected to attend the conference to present the paper.
All presentations are to be given in English.
Papers (optional)
After the conference, all presenters and invited speakers will be invited to submit a full paper on the work they presented. These papers will undergo peer-review, and if accepted, will appear in the conference proceedings. Papers should not duplicate work published or submitted for consideration elsewhere.
Papers must be in English and should be 6-15 pages in length. Please follow the Springer LNCS conference proceedings author instructions<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>. Authors should download the .zip file: "LaTeX2e Proceedings Templates."
Submission Instructions
Proposals should be in the form of a Word doc or a PDF.
Submission is via EasyChair at https://easychair.org/conferences/?conf=maple2020
Conference Details and Important Dates
Conference Date: November 2-6, 2020
Location: The conference will be held online.
Program Chairs: Robert M. Corless, Western University, and Jürgen Gerhard, Maplesoft
Submission Deadlines
Abstract submission: July 15, 2020
Notification of acceptance/rejection of presentation proposal: August 31, 2020
Paper submission: December 31, 2020
Notification of paper acceptance/rejection: February 28, 2021
Camera-ready copy due: March 31, 2021
See you at Maple Conference 2020!
Sincerely,
Rob Corless and Jürgen Gerhard, Maple Conference 2020 Program Chairs
(c) %%dynamic_content_1378%% Maplesoft, a division of Waterloo Maple Inc., 615 Kumpf Drive Waterloo ON Canada N2V1K8; customerservice(a)maplesoft.com<mailto:customerservice@maplesoft.com>. All trademarks are property of their respective owners. To manage subscriptions or to opt out of all commercial email communications from Maplesoft, please click here<%25%25unsubscribe%25%25>.
*The Third Special Session on Virtualization in Machine Learning, High
Performance Computing and Simulation*
*(VIRT 2020)*
*CALL FOR PAPERS & PARTICIPATION*
*As part of *
*The 18th International Conference on High Performance Computing &
Simulation (HPCS 2020)http://hpcs2020.cisedu.info/
<http://hpcs2020.cisedu.info/> or http://conf.cisedu.info/rp/hpcs20
<http://conf.cisedu.info/rp/hpcs20>*
*26 - 30 October*
* 2020*
*Barcelona, Spain*
*(Tentative)*
* Paper Submission Deadline: 17 July 2020 - Extended*
*Submissions could be for full papers, short papers, poster papers, or
posters*
*PURPOSE AND SCOPE*
Virtualization has become the foundation of cloud computing. The scale of
cloud computing data centers is similar to the supercomputers used in High
Performance Computing. Both involve millions of CPU cores, tens of
thousands of accelerators like GPUs, FPGAs connected by high speed
interconnects and different connection topologies. Studies have shown that
the GPU utilization in HPC is often at 50%. Virtualization can be the key
to increasing resource utilization and managing massive infrastructures
efficiently.
GPU vendors have introduced virtualized versions of GPUs. FPGAs are being
deployed in virtual infrastructure. These and other developments in the
field, along with future exascale systems, will provide increasing degree
of virtualization within the systems.
The goal of this special session is to be an opportunity to discuss and
exchange research on the different virtualization technologies and how they
can be efficiently applied in High Performance Computing. Theoretical
research, engineering solutions dealing with practical tradeoffs, and
complex system implementation papers are welcomed.
*The VIRT topics include (but are not limited to) the following: *
- *Virtualization in HPC*
o Energy efficient solutions for HPC applications in the cloud environment
o High-availability based on system-level virtualization mechanisms for HPC
o Fault tolerance mechanisms based on system-level virtualization
mechanisms for HPC
o Performance and evaluation of diverse HPC workloads in virtualization
environment
o Security Isolation, Resource Isolation and Data Isolation in Virtualized
HPC
o Flexibility and Ease of system administration and management for
virtualized environments for HPC
o Running diverse workloads
o Running heterogeneous Operating Systems
o Live Migration and Suspend/Resume of VMs to improve resource utilization
and avoid downtime
o Scheduling of resources and Workloads
o Software Defined Data Centers (SDDC)
o Hypervisors and other virtualization solutions tailored for HPC systems
o Big Data and Analytics in Virtualized Environments
o Enterprise High Performance Computing in Virtualized Environments
- *Accelerators in Virtualized HPC Environments:*
o Virtualized GPUs
o Scheduling of Virtual GPUs
o Using FPGAs in Virtualization Stack
o Dynamic Reconfiguration of FPGAs
- * IO Virtualization*
o Network Virtualization
o SR-IOV
o Software Defined Networking (SDN)
o Storage Virtualization
o RDMA and vRDMA
-
- Containers in HPC
o Isolation of Multiple User-Spaces
o Running containers in Virtual Machines
- *Tools*
o Virtualization solutions for dealing with heterogeneity in HPC
environments
o Compilers for heterogenous architectures involving GPUS, FPGAs,
multi-core CPUs
o Operating system support for virtualization in HPC systems
o Debugging and/or profiling in virtual environments
- *Algorithms*
o Distributed Resource Scheduling
o Distributed Computing
- *AI, Machine Learning and Deep Learning*
o Virtualization of Deep Learning Workloads
o Deep Learning in HPC Simulations
o Resource Allocation Using Machine Learning
o Reinforcement Learning for Resource Allocation
o Machine Learning to build tools for measurement & calibration
- *Virtualization in Simulation*
*INSTRUCTIONS FOR PAPER SUBMISSIONS *
You are invited to submit original and unpublished research works on above
and other topics related to *virtualization in high performance computing
and simulation*. Submitted papers must not have been published or
simultaneously submitted elsewhere until it appears in HPCS proceedings, in
the case of acceptance, or notified otherwise. Submission can be for
*- Regular papers*, please submit a PDF copy of your full manuscript, not
to exceed 8 double-column formatted pages per template, and include up to 6
keywords and an abstract of no more than 400 words. Additional pages will
be charged additional fee. Submission should include a cover page with
authors' names, affiliation addresses, fax numbers, phone numbers, and all
authors email addresses. Please, indicate clearly the corresponding
author(s) although all authors are equally responsible for the manuscript.
*- Short papers* (up to 4 pages), please submit a PDF copy of your full
manuscript, not to exceed 4 double-column formatted pages per template, and
include up to 6 keywords and an abstract of no more than 400 words.
Additional pages will be charged additional fee. Submission should include
a cover page with authors' names, affiliation addresses, fax numbers, phone
numbers, and all authors email addresses. Please, indicate clearly the
corresponding author(s) although all authors are equally responsible for
the manuscript.
*- Poster papers* and *Posters* (please refer to
http://hpcs2020.cisedu.info/1-call-for-papers-and-participation/call-for-po…
for
posters submission details) will also be considered.
Please specify the type of submission you have. Please include page numbers
on all preliminary submissions to make it easier for reviewers to provide
helpful comments.
Submit a PDF copy of your full manuscript to the special session paper
submission site at https://cmt3.research.microsoft.com/VIRT2020 .
Acknowledgement will be sent within 48 hours of submission.
*Conference Policies*
Only PDF files will be accepted, uploaded to the submission link above.
Each paper will receive a minimum of three reviews. Papers will be selected
based on their originality, relevance, significance, technical clarity and
soundness, presentation, language, and references. Submission implies the
willingness of at least one of the authors to register and present the
paper, if accepted. At least one of the authors of each accepted paper will
have to register and attend the HPCS 2020 conference to present the paper
at the special session as scheduled. By submitting the paper to the HPCS
conference, all authors agree to abide by all HPCS conference paper
submission, publication and presentation policies as well as following
ethical and professional codes of conduct, including those of the
professional co-sponsoring organizations. Contents of manuscripts submitted
to the tracks program committees shall be regarded as privileged as well
and handled in the same manner and standards. For more information, please
refer to the *Authors Info* and *Registration Info* pages.
*Proceedings*
Accepted papers will be published in the Conference proceedings.
Instructions for final manuscript format and requirements will be posted on
the HPCS 2020 Conference web site. It is our intent to have the proceedings
formally published in hard and soft copies and be available at the time of
the conference. The proceedings is projected to be included in the IEEE or
ACM Digital Library and indexed in all major indexing services accordingly.
*SPECIAL ISSUE*
Plans are underway to have the best papers, in extended version, selected
for possible publication in a reputable journal as special issue. Detailed
information will soon be announced and will be made available on the
conference website.
If you have any questions about paper submission or the special session,
please contact the special session organizers.
*IMPORTANT DATES*
*Paper Submissions: ------------------------------------------- 17 July
2020 - Extended*
*Acceptance Notification: -------------------------------------- 02 August
2020*
*Camera Ready Papers and Registration Due by: ----------- 15 August 2020*
*Conference Dates: -------------------------------------------- 26-30
October 2020*
*SPECIAL SESSION ORGANIZERS*
*Uday Kurkure *
VMware, Inc.
3401 Hillview Avenue
Palo Alto, CA 94304, USA
Phone: +1 650-427-1179
Fax: +1 650-
Email: uday(a)alumni.stanford.edu
*Hari Sivaraman *
VMware, Inc.
3401 Hillview Avenue
Palo Alto, CA 94304, USA
Phone: +1 650-427-3681
Fax: +1 650-
Email: hsivaraman(a)vmware.com
*Lan Vu *
VMware, Inc.
3401 Hillview Avenue
Palo Alto, CA 94304, USA
Phone: +1 650-427-1327
Fax: +1 650-
Email: lanv(a)vmware.com
*International Program Committee*: *
All submitted papers will be rigorously reviewed by the special session
technical program committee members following similar criteria used in HPCS
2020 and will be published as part of the HPCS 2020 Proceedings.
- *Cristina Boeres*, Fluminense Federal University, Brazil
- *François Diakhaté,* CEA, France
- *Isaac Gelado*, Nvidia Corp., Santa Clara, California, USA
- *Kyle Hale*, Illinois Institute of Technology, Illinois, USA
- *Giuseppe Lettieri,* University of Pisa, Italy
- *Xiaoyi Lu*, The Ohio State University - Columbus, Ohio, USA
- *Carlos Reano*, Queen's University Belfast, U.K.
- *Federico Silla*, Universitat Politecnica de Valencia, Spain
- *Alex Sim*, Lawrence Berkeley National Laboratory, California, USA
- *Giang Son Tran*, University of Science and Technology of Hanoi,
Hanoi, Vietnam
- *Blesson Varghese*, Queen's University Belfast, U.K.
- *Dong Ping Zhang*, AMD Inc., San Jose, California, USA
- *Jie Zhang*, Amazon Inc., Washington, USA
- *Yongli Zhao*, Beijing University of Posts and Telecommunications,
Beijing, China
Dear all,
We are inviting applicants for the following open position (see below).
With my best regards,
Ivan Kondov
PhD Student Position (3 years 75% salary level E13)
Enhancing e-mobility with artificial intelligence and uncertainty quantification
Courses: Mathematics, Computer Science, Physics
Topic
The ability to quickly charge car batteries plays a key role in the acceptance of e-mobility. Furthermore, besides fulfilling all of the driver’s requirements, batteries should retain long life times. These challenges in e-mobility are tackled by the battery management system (BMS). To satisfactory meet all requirements, the BMS needs detailed information on battery function. Since this information is limited during operation, the BMS currently works with high safety margins that can significantly reduce battery performance. The plan of this project is to apply machine learning to the battery cells as well as the BMS to achieve an intelligent, individualized cell management that at any point uses each cell at its optimum performance based on extensive lifetime data. Initial training of an AI on a particular battery design is done in the lab using advanced equipment, collecting as much data as possible for subsequent retraining and optimization. In a second step, the BMS AI shall be implemented on simple hardware, where sufficient data is collected and stored such that the AI can be continuously improved individually for each battery cell. One key task of this thesis is to set up a model of the battery by using Gaussian Process Regression. This model (or digital twin) is used by the AI BMS. While providing efficient insight into the dynamics of the battery cell, Gaussian Process Regression enables the use of uncertainty quantification, which is then employed to obtain a more sophisticated idea of the dynamics of the developed model. In order to quantify how the cell behavior is affected by uncertainties, efficient uncertainty propagation models have to be developed and applied to the digital twin.
Requirements
Knowledge or experience in at least one of these methodological fields will be an advantage for the candidate: machine learning, artificial intelligence, or uncertainty quantification.
Partners
This project is one of 19 AI pilot projects of the Helmholtz Association. It is a joint project of Karlsruhe Institute of Technology, TU München and Forschungszentrum Jülich, and the PhD student will closely collaborate with both partners.
Contacts
Prof. Dr. Martin Frank
Faculty of Mathematics
Steinbuch Centre for Computing
Karlsruhe Institute of Technology
www.scc.kit.edu
martin.frank(a)kit.edu
Dr. Ivan Kondov
Steinbuch Centre for Computing
Karlsruhe Institute of Technology
www.scc.kit.edu
ivan.kondov(a)kit.edu
Call for Papers
------------------------------------------------------------------------
The sixth workshop on
Quantum Communications and Information Technology (QCIT’20)
http://qcit.committees.comsoc.org/
At IEEE Globecom’20, Taipei, Taiwan, 7-11 December 2020
http://globecom2020.ieee-globecom.org
------------------------------------------------------------------------
Scope of the workshop:
Recent experimental results confirm feasibility of real applications in
quantum communications, computing, security, and sensing. Companies and
governments started to invest significant amounts of funding in research
and development of quantum technologies. These developments are offering
numerous opportunities to contribute to the research and engineering
aspects of quantum technologies.
On the scientific side, the workshop also addresses novel ideas in the
fields of quantum communications and information processing, which
contribute to the general know-how of quantum technologies.
The following topics are key to the workshop, but not exclusive:
- Quantum communications
- Entanglement distillation & swapping
- Quantum state discrimination
- Quantum sensing & metrology
- Quantum coding theory
- Homomorphic applications
- Quantum networks
- Quantum algorithms
- Error Correction for quantum systems
- Interconnection and complexity theory
- Modeling and simulation
- Optimized algorithms and applications
- Quantum eco-system
- Other topics related to quantum communications and information
processing
Submission info for camera-ready manuscripts:
Original and unpublished regular papers are solicited from the
above-mentioned areas. Regular papers have a length of 4 to 6 pages with
an optional payable 7th page. All manuscripts will be peer reviewed and
published in the workshop proceedings and after presentation in IEEE
Xplore. Templates for the manuscripts can be downloaded from:
https://www.ieee.org/conferences_events/conferences/publishing/templates.ht…
The formatted manuscript should be electronically submitted as pdf via
EDAS:
https://edas.info/N27538
Further information is available in the Globecom 2020 webpages:
http://globecom2020.ieee-globecom.org
Important dates:
Manuscript submission due date: 17. July 2020
Notification date: 17. August 2020
Final manuscript due date: 1. October 2020
QCIT’20 workshop date: 7. December 2020 (Afternoon)
Globecom’20 conference date: 7.-11. December 2020
Workshop organizers:
Andrea Conti, University of Ferrara, Italia
Lajos Hanzo, University of Southampton, United Kingdom
Peter Mueller, IBM Research Zurich Laboratory, Switzerland
Michael Ng, University of Southampton, United Kingdom
Dear Sir, dear Madam,
Please, can you pass this announcement also to interested colleagues.
Kind regards
==========================================================================
CALL FOR PAPERS
The 7th Special Session on High Performance Computing for Application
Benchmarking and Optimization (HPBench 2020)
As part of the International Conference on High Performance Computing &
Simulation (HPCS 2020) http://hpcs2020.cisedu.info/ or
http://conf.cisedu.info/rp/hpcs20
Barcelona, Spain
==========================================================================
Benchmarking is an essential aspect of modern high performance computing
and computational science, and as such, it provides a means for quantifying
and comparing the performance of different computer systems. With a
large combination of aspects to benchmark, all the way from the capability
of a single core, to cluster configuration, and to various software
configurations, the benchmarking process is more of an art than science.
However, the results of this process drive modern science and are vital for
the community to draw sensible conclusions on the performance of
applications and systems. This special session focuses on research work
aimed at benchmarking modern parallel and distributed systems for
addressing a number of real world problems. As such, contributions
concerning the definition of new open platforms, new benchmarks to match
modern architectural evolutions, studies on the aspects of benchmarking
different aspects of systems (from raw runtime performance to energy
consumption to energy consumed per data movement) and mathematical
foundations of benchmarking are sought.
IMPORTANT DATES :
Papers Due: 1 July 2020
Author Notification: 22 July 2020
Camera-Ready Submission: 10 August 2020
Conference Dates: 26-30 October 2020
TOPICS :
The HPBench topics of interest include, but are not limited to
-Open Platforms for Parallel and Distributed Application Benchmarking and
Optimization
-Benchmarking on the Cloud
-Benchmarking of Clusters, Supercomputers, and large-scale systems
-Benchmarking the Performance of I/O
-Benchmarking of Energy and Energy Efficiency
-Benchmarking Web Services
-Virtualization for Distributed Benchmarking
-Data Distribution for Benchmarking
-Performance results of benchmarks on modern platforms
-Scalability Aspects of Benchmarking Parallel Applications on Parallel and
Distributed Systems
-Benchmarking of Parallel Scientific and Business Applications
-Performance of Benchmarking Applications (Eg: NAS parallel benchmarks)
-Techniques, frameworks and results concerning the benchmarking of library
packages
-Tools and frameworks for performance modeling systems and applications
-Tools and frameworks for simulation, measurement and monitoring
-Performance Measurements, Monitoring, Modeling and Simulation
-Domain-specific benchmarks and applications (such as image processing,
pattern recognition, cryptography, biometrics, differential equation
solvers, signal processing and alike)
-Mathematical Foundations of Benchmarking, Metrics and Heuristics
GENERAL CHAIRS :
Samar Aseeri, King Abdullah University of Science and Technology, Saudi
Arabia
Jordi Blasco, New Zealand eScience Infrastructure & Landcare Research, New
Zealand
Luigi Iapichino, Leibniz Supercomputing Centre (LRZ), Germany
TECHNICAL PROGRAM COMMITTEE:
Cosimo Anglano, Universitá del Piemonte Orientale, Italy
Fabio Baruffa, Intel, Germany
Ben Blamey, Uppsala University, Sweden
Suren Byna, Lawrence Berkeley National Laboratory, California, USA
Paul Carpenter, Barcelona Supercomputing Center, Spain
Douglas Doerfler, Lawrence Berkeley National Laboratory, USA
Zhiyi Huang, University of Otago, New Zealand
Clay Hughes, Sandia National Laboratories, USA
Aleksandar Ilic, Universidade de Lisboa, Portugal
Bok Jik Lee, Seoul National University, Korea
Ravi Reddy Manumachu, University College Dublin, Ireland
Dana Petcu, West University of Timisoara, Romania
Ivan Rodero, Rutgers University, USA
*********************************************************************
For more information see
http://conf.cisedu.info/rp/hpcs20/2-conference/special-sessions/session02-h…
Kind Regards
--
Samar Aseeri, PhD
Computational Scientist
Extreme Computing Research Center (ECRC)
Building 1 -Office: 0128
*King Abdullah University of Science & Technology*
Thuwal, Saudi Arabia
--
This message and its contents, including attachments are intended solely
for the original recipient. If you are not the intended recipient or have
received this message in error, please notify me immediately and delete
this message from your computer system. Any unauthorized use or
distribution is prohibited. Please consider the environment before printing
this email.
The Department of Computer Science at Hong Kong Baptist University,
presently offers BSc, MSc, MPhil, and PhD programmes, is now seeking
outstanding applicants for the following faculty positions on tenure-track.
*Professor / Associate Professor / Assistant Professor (Computer Science)
(PR0311/18-19)*
The appointees will perform high-impact research; to teach and supervise
students at undergraduate and postgraduate levels, as well as to contribute
to professional and institutional services. Collaboration with other
faculty members in research and teaching is also expected. They will be
encouraged to collaborate with colleagues within the Department to
contribute to two special thematic applications including (a) health
informatics and (b) secure and privacy-aware computing, and to pursue new
strategic research initiatives under the Department/Faculty/University.
Applicants should possess PhD degree in Computer Science, Computer
Engineering, Information Systems, or a related field, and sufficiently
demonstrate abilities to conduct high-quality research in areas including
but not limited to: Internet of things, Cyber-security, High-performance
computing, Big data analytics, and Financial technologies.
Applicants should also show strong commitment to undergraduate and
postgraduate teaching in computer science and/or information systems,
possess track record of innovative research and high-impact publications,
and be able to bid for and pursue externally-funded research programmes.
The above positions are on tenure-track with initial appointment on
three-year fixed-term contracts. Re-appointment thereafter will be subject
to mutual agreement.
For enquiry, please contact Dr. William Cheung, Head of Department (email:
william(a)comp.hkbu.edu.hk). More information about the Department can be
found at http://www.comp.hkbu.edu.hk.
Those who have responded to the advertisement posted in December 2019 need
not re-apply.
*Rank and 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.
They 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 4 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 posts
advertised, and the appointment will be made according to the terms and
conditions applicable at the time of offer.
*Closing Date: 31 July 2020 (or until the positions are filled)*
URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=503
Please Post. Thank you.
[Sorry if you get multiple copies of this message]
*Call for Papers and Participation**
****
****The 2020 High Performance Computing & Simulation Conference**
****(HPCS 2020)**
****
****26-30 October, 2020**
****Barcelona, Spain**
****
****http://hpcs2020.cisedu.info/ or http://conf.cisedu.info/rp/hpcs20**
****
****In Cooperation with the ACM, IEEE, IFIP**
****
****(Main Track Paper Submission Deadline: 17 July 2020 - Extended)**
****(Other Conference tracks have different submission deadlines -
Please check the specific track of interest.)*
HPCS Proceedings are to be published in IEEE XPLORE (pending) and
indexed by all major indexing services, including SCOPUS, EI, Sci, dblp,
etc.
Twitter: @HPCS Conference
FaceBook: HPCS Conference
LinkedIn: HPCS Conference
You are cordially invited to participate in this conference through
paper submission to main track, symposium, workshop or special session,
a tutorial, an invited speech, a demo, a poster, an exhibit, a panel
discussion, a doctoral dissertation, whichever sounds more appropriate
and convenient to you.
The conference will include invited presentations by experts from
academia, industry, and government as well as contributed paper
presentations describing original work on the current state of research
in high performance and large scale computing systems, their use in
modeling and simulation, their design, performance and use, and their
applications. There will also be tutorial sessions, workshops, special
sessions, demos, posters, panel discussions, doctoral colloquium, and
exhibits. Conference sponsorships are welcomed.
In addition to the main track, the conference will have the following
refereed archived symposia, workshops and special sessions: (some still
need co-organizers; please let us know if you are interested)
Symposia: (all refereed archival papers. Have different deadlines)
http://hpcs2020.cisedu.info/2-conference/symposia-hpcs2020
SYM01: Cloud Computing and Services for HPC Systems (InterClouds-HPC
2020)
SYM04: Big Data Principles, Architectures & Applications (BDAA 2020)
SYM03: High Performance Mobile Computing and Wireless Networks (MCWN
2020)
SYM04: Information Systems and Engineering (ISE 2020)
SYM05: Formal Approaches to Parallel and Distributed Systems (4PAD 2020)
Workshops: (all refereed archival papers. Have different deadlines)
http://hpcs2020.cisedu.info/2-conference/workshops-hpcs2020
W01: Dependable and Resilient Many-Core and Exascale Computing (DRMEC
2020)
W02: Optimization of Energy Efficient High Performance and
Distributed Computing Systems (OPTIM 2020)
W03: Exploitation of Hardware Accelerators (WEHA 2020)
W04: High Performance Interconnection Networks and Interconnects
(HPINI 2020)
W05: High Performance Platform Management (HPPM 2020)
W06: Advances in Parallel Programming Models and Frameworks for the
Multi-/Many-core Era (APPMM 2020)
W07: Synergy of Parallel Computing, Optimization and Simulation
(PaCOS 2020)
W08: Peer-to-Peer Architectures, Networks and Systems (PANS 2020)
W09: Autonomic High Performance Computing (AHPC 2020)
W10: Security and High Performance Computing Systems (SHPCS 2020)
W11: Security and Performance in Cloud Computing (SPCLOUD 2020)
W12: High-Performance and Distributed Computing for Business
Analytics and Financial Applications (HPC-BAFA 2020)
W13: Computational Intelligence and Parallel Evolutionary Computation
(CIPEC 2020)
W14: Machine Learning, Pattern Recognition and Applications (MLPRA 2020)
W15: High Performance Computing for Weather, Climate, and solid Earth
Sciences (HPC-WCES 2020)
W16: HPC Systems for Biomedical, Bioinformatics, and Life Sciences
(BILIS 2020)
W17: High Performance Dynamic Reconfigurable Systems and Networks
(DRSN 2020)
W18: Architecture-aware Simulation and Computing (AASC 2020)
W19: Modeling and Simulation of Parallel and Distributed Systems
(MSPDS 2020)
W20: Parallel Computations for Neural Networks (PCNN 2020)
W21: Cellular Automata Algorithms & Architectures (CAAA 2020)
W22: Location-based Services and Applications in Ubiquitous Computing
(LSAUC 2020)
Special Sessions: (all refereed archival papers. Have different
deadlines) http://hpcs2020.cisedu.info/2-conference/special-sessions
SS01: Virtualization in High Performance Computing and Simulation
(VIRT 2020)
SS02: Benchmarking and High Performance Computing for Applications
and Optimization (HPBench 2020)
SS03: Biologically Inspired Parallel and Distributed Computing,
Algorithms and Solutions (BICAS 2020)
SS04: Compiler Architecture, Design and Optimization (CADO 2020)
SS05: High Performance Services Computing and Internet Technologies
(SerCo 2020)
SS06: Trusted Ubiquitous Networks & Multimedia Contents Protection
(TUN-MM 2020)
SS07: Digital Home Networks & Ambient Intelligence (DHN-AmI 2020)
SS08: High Performance Parallel and Distributed Data Mining (PDDM 2020)
SS09: Internet of Things and HPC: Devices, Networks, and
Applications (IoT-HPC 2020)
SS10: High Performance Mission Critical System Development (HiPMiC 2020)
SS11: Advances in Computational Methods in Electromagnetics (ACME 2020)
SS12: Fuzzy-based Simulation Approaches in Science and Engineering
(FSASE 2020)
SS13: High Performance Computing and Modeling & Simulation Education
(HPCEd 2020)
==============================================================
*Important Dates:**
**
** Main Track Paper and Poster Paper Submission Deadline 17
July 2020 - Extended**
** Tutorial/Demo/Panel/Poster Proposal Deadline
25 July 2020**
** Notification of Acceptance starts
07 August 2020**
** Registration & Camera-Ready Manuscripts Due
19 August 2020**
** Conference Dates 26-30 October 2020*
==============================================================
For further details and updates, please consult the conference web site
at URL: http://hpcs2020.cisedu.info/ or
http://conf.cisedu.info/rp/hpcs20 or contact one of the organizers.
Please stay safe and healthy. We look forward to your contributions and
seeing you in Barcelona, Spain in October. Thank you very much.
Best Regards.
HPCS 2020 Organizers