20th SIAM International Conference on Data Mining May 7 - May 9, 2020,
Cincinnati, OH, USA ========================================
SDM 2020 - http://www.siam.org/meetings/sdm20
Call for Papers
Scope
=====
Data mining is the computational process for discovering valuable knowledge
from data - the core of modern Data Science. It has enormous application in
numerous fields, including science, engineering, healthcare, business, and
medicine. Typical datasets in these fields are large, complex, and often
noisy. Extracting knowledge from these datasets requires the use of
sophisticated, high-performance, and principled analysis techniques and
algorithms, which are based on sound theoretical and statistical
foundations. These techniques in turn require implementations on high
performance computational infrastructure that are carefully tuned for
performance. Powerful visualization technologies along with effective user
interfaces are also essential to make data mining tools appealing to
researchers, analysts, data scientists and application developers from
different disciplines, as well as usable by stakeholders.
The SDM conference provides a venue for researchers who are addressing these
problems to present their work in a peer-reviewed forum. It also provides an
ideal setting for graduate students and others new to the field to learn
about cutting-edge research by hearing outstanding invited speakers and
attending presentations and tutorials (included with conference
registration). A set of focused workshops is also held on the last day of
the conference. The proceedings of the conference are published in archival
form and are also made available on the SIAM web site.
Topics of Interest
==================
*Methods and Algorithms
-Anomaly & Outlier Detection
-Big Data & Large-Scale Systems
-Classification & Semi-Supervised Learning
-Clustering & Unsupervised Learning
-Data Cleaning & Integration
-Deep Learning & Representation Learning
-Frequent Pattern Mining
-Feature Extraction, Selection and Dimensionality Reduction
-Mining Data Streams
-Mining Graphs & Complex Data
-Mining on Emerging Architectures & Data Clouds
-Mining Semi Structured Data
-Mining Spatial & Temporal Data
-Mining Text, Web & Social Media
-Online Algorithms
-Optimization Methods
-Parallel and Distributed Methods
-Probabilistic & Statistical Methods
-Scalable & High-Performance Mining
-Other Novel Methods
*Applications
-Astronomy & Astrophysics
-Automation & Process Control
-Climate / Ecological / Environmental Science
-Customer Relationship Management
-Data Science
-Drug Discovery
-Finance
-Genomics & Bioinformatics
-Healthcare Management
-High Energy Physics
-Intelligence Analysis
-Internet of Things
-Intrusion & Fraud detection
-Logistics Management
-Recommendation
-Risk Management
-Social Network Analysis
-Supply Chain Management
-Other Emerging Applications
*Human Factors and Social Issues
-Ethics of Data Mining
-Intellectual Ownership
-Interestingness & Relevance
-Privacy and Fairness Models
-Privacy Preserving Data Mining
-Risk Analysis and Risk Management
-Transparency and Algorithmic Bias
-User Interfaces and Visual Analytics
-Other Human and Social Issues
Submission URL
==============
https://cmt3.research.microsoft.com/SDM2020
Workshop and Tutorials
======================
The conference will feature workshops and tutorials on several special
topics. Please see the SDM 2020 website for submission requirements.
Examples of workshops and tutorials are available through the SDM 2019
website,
http://www.siam.org/meetings/sdm19/
Organization
============
GENERAL CO-CHAIRS
Nitesh Chawla, University of Notre Dame, USA
Carlotta Domeniconi, George Mason Univeristy, USA
PROGRAM CO-CHAIRS
Yan Liu, University of Southern California, USA
Sriraam Natarajan, University of Texas at Dallas, USA
WORKSHOPS CO-CHAIRS
Yuxiao Dong, Microsoft Research, USA
Gregor Stiglic, University of Maribor, Slovenia
TUTORIALS CHAIR
Danai Koutra, University of Michigan, USA
DOCTORAL FORUM CHAIRS
Matteo Riondato, Amherst College, USA
Brandeis Marshall, Spelman College, USA
PANELS CHAIR
Zhenhui Jessie Li, Penn State University, USA
PUBLICITY CHAIRS
Xiang Ren, University of Southern California, USA
Alfredo Cuzzocrea, University of Calabria, Italy
Sourangshu Bhattacharya, IIT, Kharagpur, India
AWARDS CHAIR
TBA
STEERING COMMITTEE CHAIR
Zoran Obradovic, Temple University, USA
LOCAL CHAIR
Ping Zhang, Ohio State University, USA
Important Dates (tentative)
===========================
Abstract Submission:
October 4, 2019 11:59pm (US Eastern Time)
Paper Submission:
October 11, 2019 11:59pm (US Eastern Time)
Workshop Proposals:
October 4, 2019 11:59pm (US Eastern Time)
Tutorial Proposals:
October 4, 2019 11:59pm (US Eastern Time)
**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
Final Call for papers:
The 11th IEEE International Conference on Cloud Computing Technology and
Science (CloudCom 2019) will be held in Sydney, Australia on 11-13 December
2019.
Website: http://www.swinflow.org/confs/2019/cloudcom/
Key dates:
Submission Deadline: August 31, 2019 (11:59pm UTC/GMT, firm)
Notification: September 30, 2019
Final Manuscript Due: October 15, 2019
Submission site: http://www.swinflow.org/confs/2019/cloudcom/submission.htm
Publication:
Proceedings will be published by IEEE CS Press.
Special issues:
Distinguished papers will be selected for special issues in Future
Generation Computer Systems, Journal of Parallel and Distributed Computing,
Concurrency and Computation: Practice and Experience, Pattern Recognition
Letters.
===========
Introduction
CloudCom is the premier conference on Cloud Computing worldwide, attracting
researchers, developers, users, students and practitioners from the fields
of big data, systems architecture, services research, virtualization,
security and privacy, high performance computing, always with an emphasis
on how to build cloud computing platforms with real impact. The conference
is co-sponsored by the Institute of Electrical and Electronics Engineers
(IEEE), is steered by the Cloud Computing Association, and draws on the
excellence of its world-class Program Committee and its participants.
Topics of interest of CloudCom 2019 include, but are not limited to:
- Architecture, Storage and Virtualization
- Cloud Services and Applications
- Security, Privacy and Trust
- Edge Computing and Distributed Cloud
(1) Track 1: Architecture, Storage and Virtualization
- Intercloud architecture models
- Virtual Machines (VMs), containers, unikernels and microservices
- Cloud services delivery models, campus integration & “last mile” issues
- Virtualization technology and enablers (network virtualization,
software-defined networking)
- Networking technologies
- Cloud system design with FPGAs, GPUs, APUs
- Storage & file systems
- Scalability & performance
- Resource provisioning, monitoring, management & maintenance
- Operational, economic & business models
- Green data centers
- Computational resources, storage & network virtualization
- Resource monitoring
- Virtual desktops
- Resilience, fault tolerance, disaster recovery
- Modeling & performance evaluation
- Disaster recovery
- Energy efficiency
(2) Track 2: Cloud Services and Applications
- XaaS (everything as a service including IaaS, PaaS, and SaaS)
- Cloud services models & frameworks
- Service deployment and orchestration in the Cloud
- Cloud service management
- Cloud workflow management
- Cloud services reference models & standardization
- Cloud-powered services design
- Cloud elasticity
- Machine learning and systems interactions
- Data management applications & services
- Service for computing-intensive applications
- Mining and analytics
- Data-provisioning services
- Cloud programming models, benchmarks, and tools
- Cloud-based services & protocols
- Fault-tolerance & availability of cloud services and applications
- Application development and debugging tools
- Business models & economics of cloud services
(3) Track 3: Security, Privacy and Trust
- Accountability & audit
- Authentication & authorization
- Cloud integrity
- Blockchain Cloud services
- Cryptography in the Cloud
- Hypervisor security
- Identity management & security as a service
- Prevention of data loss or leakage
- Secure, interoperable identity management
- Trust & credential management
- Trust models for cloud services
- Usable security Risk management in cloud computing environments
- Privacy policy framework for clouds
- Privacy-preserving data mining for clouds
- Information sharing and data protection in the cloud
- Cryptographic protocols against internal attacks in clouds
- Privacy protection in cloud platforms
- Energy/cost/efficiency of security in clouds
(4) Track 4: Edge Computing and Distributed Cloud
- Cloudlet-enabled applications
- Distributed Cloud Infrastructure
- Foundations and principles of distributed cloud computing
- Architectural models, prototype implementations and applications
- Cloud brokers and coordination across multiple resource managers
- Interoperability and mobility
- Software infrastructure for cloudlets
- Dynamic resource, service and context management on edge computing
- Fog Computing
- IoT cloud architectures & models
- Cloud-based context-aware IoT
- Economics and pricing
- Experience with and performance evaluation of existing deployments and
measurements (public, private, hybrid, federated environments)
(5) Short Papers, Posters, and Demo
Submission Guidelines
Submissions must include an abstract, keywords, the e-mail address of the
corresponding author and should not exceed 8 pages for main conference,
including tables and figures in IEEE CS format. The template files for
LATEX or WORD can be downloaded here. All paper submissions must represent
original and unpublished work. Each submission will be peer reviewed by at
least three program committee members. Submission of a paper should be
regarded as an undertaking that, should the paper be accepted, at least one
of the authors will register for the conference and present the work.
Submit your paper(s) in PDF file at the submission site:
http://www.swinflow.org/confs/2019/cloudcom/submission.htm.
Publications
Accepted and presented papers will be included into the conference
proceedings. Distinguished papers presented at the conference, after
further revision, will be published in special issues of selected journals.
General Chairs
Albert Zomaya, The University of Sydney, Australia
Rajkumar Buyya, The University of Melbourne, Australia
Laurence Yang, St. Francis Xavier University, Canada
Program Chairs
Jinjun Chen, Swinburne University of Technology, Australia
Rajiv Ranjan, Newcastle University, UK
Aniello Castiglione, University of Naples Parthenope, Italy
Workshops and Tutorials Chairs
Xuyun Zhang, The University of Auckland, New Zealand
Short Papers, Posters, and Demo Chair
Muneeb Hassan, Swinburne University of Technology, Australia
Phd Consortium Chair
Deepak Puthal, Newcastle University, UK
Track 1: Architecture, Storage and Virtualization
Luiz F. Bittencourt, University of Campinas (UNICAMP), Brazil
Muhammad Usman, Federation University, Australia
Track 2: Cloud Services and Applications
Laura Ricci, University of Pisa, Italy
James Zheng, Macquarie University, Australia
Track 3: Security, Privacy and Trust
Martin Gilje Jaatun, University of Stavanger, Norway
Li Li, Monash University, Australia
Track 4: Edge Computing and Distributed Cloud
Sarunas Girdzijauskas, KTH, Sweden
Xiao Liu, Deakin University, Australia
The Melbourne School of Engineering has introduced the Doreen Thomas Postdoctoral Fellowships to attract, or to retain, outstanding female doctoral graduates and provide a career pathway to a global Teaching and Research academic career at the University of Melbourne.
We are currently looking for accomplished, enthusiastic, and interested early-career female doctoral graduates for multiple fellowships within the three schools of MSE:
* Computing and Information Systems
* Chemical and Biomedical Engineering
* Electrical, Mechanical and Infrastructure Engineering
More details can be found here:
LinkedIn<https://www.linkedin.com/jobs/view/1441685438>
Seek<https://www.seek.com.au/job/39782535?searchrequesttoken=9e11c449-42dd-4296-…>
University of Melbourne Careers<http://jobs.unimelb.edu.au/caw/en/job/900626/doreen-thomas-postdoctoral-fel…>
Applications close Sunday 13 October 2019.
About Doreen Thomas
“Professor Emeritus Doreen Thomas is a leading academic whose work has spanned the fields of mathematics and electrical and mechanical engineering. Her career at the University of Melbourne has lasted over 40 years and practical applications of her research have had significant commercial impact.
Doreen is a powerful advocate for women in engineering and mathematics. She chairs the Science, Technology, Engineering and Mathematics (STEM) Education Forum at the Australian Academy of Technological Sciences and Engineering. While at the University of Melbourne’s School of Engineering, she helped create nine research fellowships to launch and accelerate the careers of female academics.
In 2006, she was appointed the University of Melbourne’s first female professor in engineering. She was the first woman at the university to become head of each of the departments she led, and the first woman in Victoria to become head of two different university departments.
Doreen’s long and distinguished career has been inspirational for other women in mathematics and science. She has made significant contributions to knowledge with real-world impact, promoted the next generation of women in STEM disciplines, and taught mathematics to generations of engineering students.” – Vic.gov.au
Professor Uwe Aickelin | Head of School of Computing and Information Systems
Melbourne School of Engineering
Level 8, Doug McDonell Building, 168 Grattan Street
The University of Melbourne, Victoria 3010 Australia
T: +61 3 8344 3635 E: uwe.aickelin(a)unimelb.edu.au<mailto:uwe.aickelin@unimelb.edu.au>
http://aickelin.com/ | http://linkedin.com/in/aickelin
[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
Proceedings published in the IEEE Digital Library through IEEE TCHPC.
--------------------
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
--------------------
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.
--------------------
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 Zurich, 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 Buluc, 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, ES
Walid Najjar, University of California, Riverside, US
Maxim Naumov, Facebook, US
Fanny Nina-Paravecino, Intel, 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
Other members TBD
**********************************************************************
We apologize if you received multiple copies of this Call for Papers
Please feel free to distribute it to those who might be interested
**********************************************************************
Paper Deadline in Less Than 1 Month - Data Science for Future Energy
Systems - HiPC Workshop 2019
https://hipc.org/dsfes
17 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, 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
**********************************************************************
We apologize if you received multiple copies of this message
Please feel free to distribute it to those who might be interested
**********************************************************************
HiPC 2019 WORKSHOP PAPER DEADLINES
**********************************************************************
The 26th annual IEEE International Conference on High Performance
Computing, Data, and Analytics (HiPC 2019) will be held at the
Hyderabad International Convention Centre, Hyderabad, India, during
17-20 December 2019. Complementing the main technical program, HiPC
workshops serve to broaden the technical scope of the conference in
emerging areas of high performance computing, communication, data and
analytics and their applications.
Below is the listing of the workshops with deadlines to be held on the
first day of the conference, December 17th. Please follow the links
below for a detailed description and the Call for Papers of each
workshop.
SEPTEMBER 15, 2019
* Workshop on Education for High Performance Computing (EduHiPC) -
https://hipc.org/eduhipc-2019
SEPTEMBER 20, 2019
* Multi-tier Big Data Pipelines from Edge to the Cloud Data Centers -
https://hipc.org/bigdata/
* Workshop on Data Science for Future Energy Systems - https://hipc.org/dsfes/
* Workshop on Memory and Storage Systems 2019 (WoMSS) - http://hipc.org/womss/
WORKSHOP CO-CHAIRS
* Vandana Janeja, University of Maryland, Baltimore County, USA
* Antonino Tumeo, Pacific Northwest National Laboratory, USA
Workshops co-chairs may be contacted at workshops(a)hipc.org.
*** 12th HiPC Student Research Symposium (SRS) ***
Held in conjunction with the
26th INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, and
ANALYTICS (HIPC 2019)
December 17-20, 2019 | Hyderabad, INDIA | www.hipc.org
OVERVIEW
HiPC 2019 will feature the 12th Student Research Symposium on High
Performance Computing, Data, and Analytics (HPC) aimed at stimulating
and fostering student research, and providing an international forum
to highlight student research accomplishments. The symposium will also
provide exposure to students in the best practices in HPC in academia
and industry.
The symposium will feature student posters and provide students with
other enriching experiences, such as workshops, industry exhibits, and
demos. The Conference Reception and multiple Student Symposium Poster
Exhibit sessions will provide an opportunity for students to interact
with HPC researchers and practitioners (and recruiters) from academia
and industry.
Awards for Best Poster, sponsored by IEEE Computer Society – Technical
Committee on Parallel Processing (TCPP) – will be presented at the
symposium. An online book containing the resumes of the students
participating in the symposium will be compiled and made available to
the sponsors of the HiPC 2019 conference.
TOPICS
Papers are solicited in all areas of high-performance computing, data,
and analytics, including but not limited to topics mentioned below.
High-Performance Computing
Algorithms: This track invites papers that describe original research
on developing new parallel and distributed computing algorithms, and
related advances. Examples of topics that are of interest include (but
not limited to):
• New parallel and distributed algorithms and design techniques;
• Advances in enhancing algorithmic properties or providing guarantees
(e.g., fault tolerance, resilience, concurrency, data locality,
communication-avoiding);
• Classical and emerging computation models (e.g.,
parallel/distributed models, quantum computing, neuromorphic and other
bioinspired models);
• Provably efficient parallel and distributed algorithms for advanced
scientific computing and irregular applications (e.g., numerical
linear algebra, graph algorithms, computational biology); and
• Algorithmic techniques for resource allocation and optimization
(e.g., scheduling, load balancing, resource management).
Architectures: This track invites papers that describe original
research on the design and evaluation of high-performance computing
architectures, and related advances. Examples of topics of interest
include (but not limited to):
• Design and evaluation of high-performance processing architectures
(e.g., reconfigurable, system-on-chip, many cores, vector processors);
• Design and evaluation of networks for high-performance computing
platforms (e.g., interconnect topologies, network-on-chip);
• Design and evaluation of memory, cache and storage architectures
(e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers,
parallel I/O);
• Approaches to improve architectural properties (e.g., energy/power
efficiency, reconfigurable, resilience/fault tolerance,
security/privacy); and
• Emerging computational architectures (e.g., quantum computing,
neuromorphic and other bioinspired architectures).
Applications: This track invites papers that describe original
research on the design and implementation of scalable applications for
execution on parallel and distributed platforms, and related advances.
Examples of topics of interest include (but not limited to):
• Design and implementation of shared and distributed memory parallel
applications (e.g., scientific computing and industry applications,
emerging applications in IoT and life sciences – biology, medicine,
chemistry, etc.);
• Design and simulation methodologies for scaling applications on peta
and exascale platforms (e.g., co-design approaches, hardware/software
co-design, heterogeneous and hybrid programming);
• Hardware acceleration of parallel applications (e.g., CPU/GPUs,
multi-GPU clusters, FPGA, vector processors, manycore); and
• Design of application benchmarks for parallel and distributed platforms.
Systems Software: This track invites papers that describe original
research on the design, implementation, and evaluation of systems
software for high-performance computing platforms, and related
advances. Examples of topics of interest include (but not limited to):
• Scalable systems and software architectures for high-performance
computing (e.g., middleware, operating systems, I/O services);
• Techniques to enhance parallel performance (e.g., compiler/runtime
optimization, learning from application traces, profiling);
• Techniques to enhance parallel application development and
productivity (e.g., Domain-Specific Languages, programming
environments, performance/correctness checking and debugging);
• Techniques to deal with uncertainties, hardware/software resilience,
and fault tolerance;
• Software for the cloud, data center, and exascale platforms (e.g.,
middleware tools, schedulers, resource allocation, data migration,
load balancing); and
• Software and programming paradigms for heterogeneous platforms
(e.g., libraries for CPU/GPU, multi-GPU clusters, and other
accelerator platforms).
Data Science
Scalable Algorithms and Analytics: This track invites papers that
describe original research on developing scalable algorithms for data
analysis at scale, and related advances. Examples of topics of
interest include (but not limited to):
• New scalable algorithms for fundamental data analysis tasks
(supervised, unsupervised learning, and pattern discovery);
• Scalable algorithms that are designed to address the characteristics
of different data sources and settings (e.g., graphs, social networks,
sequences, data streams);
• Scalable algorithms and techniques to reduce the complexity of
large-scale data (e.g., streaming, sublinear data structures,
summarization, compressive analytics);
• Scalable algorithms that are designed to address requirements in
different data-driven application domains (e.g., life sciences,
business, agriculture); and
• Scalable algorithms that ensure the transparency and fairness of the analysis.
Scalable Systems and Software: This track invites papers that describe
original research on developing scalable systems and software for
handling data at scale, and related advances. Examples of topics of
interest include (but not limited to):
• Design of scalable system software to support various applications
(e.g., recommendation systems, web search, crowdsourcing applications,
streaming applications);
• Design of scalable system software for various architectures (e.g.,
OpenPower, GPUs, FPGAs);
• Architectures and systems software to support various operations in
large data frameworks (e.g., storage, retrieval, automated workflows,
data organization, visualization, visual analytics,
human-in-the-loop);
• Design and implementation of systems software for distributed data
frameworks (e.g., distributed file system, virtualization, cloud
services, resource optimization, scheduling); and
• Standards and protocols for enhancing various aspects of data
analytics (e.g., open data standards, privacy-preserving, and secure
schemes).
IMPORTANT DATES
Aug 19, 2019 > Submission Opens
Sep 16, 2019 > Submission Deadline
Nov 9, 2019 > Accept/Reject Decision Notification
Dec 17-20, 2019 > Symposium
ELIGIBILITY
Submissions should have at least one author who is a student during
any part of the calendar year 2019. Submissions may have multiple
student or non-student co-authors. Submissions must mark student
authors with an asterisk (*).
SUBMISSION INSTRUCTIONS
In order to be considered for a poster at the Student Research
Symposium, authors must submit papers, not exceeding five (5) letter
size (8.5in x 11in) pages, in 11 or 12 point font, single-spaced, with
1'' margins on all sides. Papers are to be submitted online in PDF
format through Easychair at:
https://easychair.org/conferences/?conf=hipc2019.
The papers will be used to select posters, but will NOT be published
in the conference proceedings. This will provide students the
flexibility to publish an extended version of their paper at other
venues, after benefiting from reviewer feedback from the symposium.
Papers submitted to the symposium are expected to be reviewed by at
least three independent reviewers. Papers will be judged on technical
merit, quality, relevance to the symposium, and related parameters.
Plagiarism, in any form, especially verbatim reproduction from other
published works, is prohibited. Papers that are plagiarized will be
rejected, and the corresponding department and institution will be
notified.
Facilities for displaying posters will be made available, and the
exact specifications of the poster size will be provided later. At
least one student author of each paper that is accepted must register
and attend the conference to present their work. Papers with no-shows
will be retroactively rejected.
TRAVEL SUPPORT
We expect to provide a travel scholarship to at least one student
author of each accepted submission from an Indian university, subject
to availability of funding. This scholarship will cover partial
expenses for attending the conference. Further details on this
scholarship and the application process will be provided later.
SYMPOSIUM CO-CHAIRS
Ashok Srinivasan, University of West Florida, USA
Ramakrishna Upadrasta, IIT Hyderabad, India
SYMPOSIUM VICE-CHAIR
Dip Sankar Banerjee, IIIT Guwahati, India
CONTACT
Contact student_symposium at hipc dot org for more details.
[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
--------------------
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 Zurich, 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 Buluc, 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, ES
Walid Najjar, University of California, Riverside, US
Maxim Naumov, Facebook, US
Fanny Nina-Paravecino, Intel, 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
Other members TBD
Call for Nominations:
2019 IEEE CS TCHPC Early Career Researchers Award for Excellence in High Performance Computing
The IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing recognizes up to 3 individuals who have made outstanding, influential, and potentially long-lasting contributions in the field of high-performance computing within 5 years of receiving their PhD degree as of January 01 of the year of the award. It is sponsored by the IEEE Computer Society Technical Consortium on High Performance Computing (TCHPC) and its member Technical Committees:
- Technical Committee on Parallel Process (TCPP)
- Technical Committee on Computer Communications (TCCC)
- Technical Committee on Distributed Processing (TCDP)
- Technical Committee on Cloud Computing (TCCLD)
- Task Force on Rebooting Computing (TFRC)
- Technical Committee on Computational Life Sciences (TCCLS)
Nominations: A candidate must be nominated by member(s) of the community. An individual may nominate at most one candidate for this award. The nomination application must be submitted via email to tchpc-awards(a)computer.org as a single PDF file and should contain the following details:
1. Name/email of person making the nomination (self-nominations are not eligible).
2. Name/email of candidate for whom the award is recommended.
3. A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award. Note that since the award is for outstanding contributions, the statement and supporting letters should address what the contributions are and why they are both outstanding and significant. The nomination should also list the names and email of up to 3 persons who have provided letters supporting the nomination.
4. CV of the nominee.
5. Up to three letters of support from persons other than the nominator +IBM- these should be collected by the nominator and included in the nomination.
Important Dates:
- Nomination Deadline: August 15, 2019
- Results Notification:September 15, 2019
Award Selection Committee: The award selection committee consists of:
- Lin Gan, Tsinghua University and National Supercomputing Center in Wuxi, China
- Vladimir Getov, University of Westminster, UK (Chair)
- Minyi Guo, Shanghai Jiao Tong University, China
- Ananth Kalyanaraman, Washington State University, USA
- Christine Morin, Inria, France
- Irene Qualters, Los Alamos National Laboratory, USA
- Satoshi Sekiguchi, National Institute of Industrial Science and Technology, Japan
- Min Si, Argonne National Laboratory, USA
- Yogesh Simmhan, Indian Institute of Science, Bangalore, India
- Edgar Solomonik, University of Illinois at Urbana-Champaign, USA
Note that members of the selection committee cannot be nominators or provide support letters.
Award Presentation Note: Awardees will be presented a plaque and will be recognized by IEEE Computer Society and TCHPC websites, newsletters and archives. The awards will be presented at the SC19 conference that will be held in Denver, CO, USA during November 18-21, 2019. Details of the conference can be found at http://sc19.supercomputing.org/.
For more information, please send email to tchpc-awards(a)computer.org.
The University of Westminster is a charity and a company limited by guarantee. Registration number: 977818 England. Registered Office: 309 Regent Street, London W1B 2HW.
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