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original unpublished research that is not currently under review for any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 receive multiple copies of this call for papers.
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10th Workshop on Resiliency in High Performance Computing (Resilience)
in Clusters, Clouds, and Grids
<http://www.csm.ornl.gov/srt/conferences/Resilience/2017>
in conjunction with
the 23rd International European Conference on Parallel and Distributed
Computing (Euro-Par), Santiago de Compostela, Spain,
August 28 - September 1, 2017
<http://europar2017.usc.es>
Overview:
Resilience is a critical challenge as high performance computing (HPC)
systems continue to increase component counts, individual component
reliability decreases (such as due to shrinking process technology and
near-threshold voltage (NTV) operation), and software complexity increases.
Application correctness and execution efficiency, in spite of frequent
faults, errors, and failures, is essential to ensure the success of the
extreme-scale HPC systems, cluster computing environments, Grid computing
infrastructures, and Cloud computing services.
While a fault (e.g., a bug or stuck bit) is the cause of an error, its
manifestation as a state change is considered an error (e.g., a bad value
or incorrect execution), and the transition to an incorrect service is
observed as a failure (e.g., an application abort or system crash). A
failure in a computing system is typically observed through an application
abort or a full/partial service or system outage. A detectable correctable
error is often transparently handled by hardware, such as a single bit flip
in memory that is protected with single-error correction double-error
detection (SECDED) error correcting code (ECC). A detectable uncorrectable
error (DUE) typically results in a failure, such as multiple bit flips in
the same addressable word that escape SECDED ECC correction, but not
detection, and ultimately cause an application abort. An undetectable error
(UE) may result in silent data corruption (SDC), e.g., an incorrect
application output. There are many other types of hardware and software
faults, errors, and failures in computing systems.
Resilience for HPC systems encompasses a wide spectrum of fundamental and
applied research and development, including theoretical foundations, fault
detection and prediction, monitoring and control, end-to-end data integrity,
enabling infrastructure, and resilient solvers and algorithm-based fault
tolerance. This workshop brings together experts in the community to further
research and development in HPC resilience and to facilitate exchanges
across the computational paradigms of extreme-scale HPC, cluster computing,
Grid computing, and Cloud computing.
Submission Guidelines:
Authors are invited to submit papers electronically in English in PDF
format. Submitted manuscripts should be structured as technical papers and
BETWEEN 10 AND 12 PAGES, including figures, tables and references, using
Springer's Lecture Notes in Computer Science (LNCS) format at
<http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with
less than 10 or more than 12 pages will not be accepted due to publisher
guidelines. Submissions should include abstract, key words and the e-mail
address of the corresponding author. Papers not conforming to these
guidelines may be returned without review. All manuscripts will be reviewed
and will be judged on correctness, originality, technical strength,
significance, quality of presentation, and interest and relevance to the
conference 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 or not
appropriately structured may also not be considered. The proceedings
will be published in Springer's LNCS as post-conference proceedings. At
least one author of an accepted paper must register for and attend the
workshop for inclusion in the proceedings. Authors may contact the workshop
program chairs for more information.
Important websites:
- Resilience 2017 Website: <http://www.csm.ornl.gov/srt/conferences/Resilience/2017>
- Resilience 2017 Submissions: <https://easychair.org/conferences/?conf=europar2017workshops>
- Euro-Par 2017 website: <http://europar2017.usc.es>
Topics of interest include, but are not limited to:
- Theoretical foundations for resilience:
- Metrics and measurement
- Statistics and optimization
- Simulation and emulation
- Formal methods
- Efficiency modeling and uncertainty quantification
- Fault detection and prediction:
- Statistical analyses
- Machine learning
- Anomaly detection
- Data and information collection
- Visualization
- Monitoring and control for resilience:
- Platform and application monitoring
- Response and recovery
- RAS theory and performability
- Application and platform knobs
- Tunable fidelity and quality of service
- End-to-end data integrity:
- Fault tolerant design
- Degraded modes
- Forward migration and verification
- Fault injection
- Soft errors
- Silent data corruption
- Enabling infrastructure for resilience:
- RAS systems
- System software and middleware
- Programming models
- Tools
- Next-generation architectures
- Resilient solvers and algorithm-based fault tolerance:
- Algorithmic detection and correction of hard and soft faults
- Resilient algorithms
- Fault tolerant numerical methods
- Robust iterative algorithms
- Scalability of resilient solvers and algorithm-based fault tolerance
Important Dates:
- Workshop papers due: May 5, 2017
- Workshop author notification: June 16, 2017
- Workshop early registration: TBD
- Workshop paper (for informal workshop proceedings): July 21, 2017
- Workshop camera-ready papers: October 3, 2017
General Co-Chairs:
- Stephen L. Scott
Senior Research Scientist - Systems Research Team
Tennessee Tech University and Oak Ridge National Laboratory, USA
scottsl(a)ornl.gov
- Chokchai (Box) Leangsuksun,
SWEPCO Endowed Associate Professor of Computer Science
Louisiana Tech University, USA
box(a)latech.edu
Program Co-Chairs:
- Patrick G. Bridges
University of New Mexico, USA
bridges(a)cs.unm.edu
- Christian Engelmann
Oak Ridge National Laboratory , USA
engelmannc(a)ornl.gov
Program Committee:
- Ferrol Aderholdt, Oak Ridge National Laboratory, USA
- Dorian Arnold, University of New Mexico, USA
- Rizwan Ashraf, Oak Ridge National Laboratory, USA
- Wesley Bland, Intel Corporation, USA
- Hans-Joachim Bungartz, Technical University of Munich, Germany
- Franck Cappello, Argonne National Laboratory and
University of Illinois at Urbana-Champaign, USA
- Marc Casas, Barcelona Supercomputer Center, Spain
- Zizhong Chen, University of California at Riverside, USA
- Robert Clay, Sandia National Laboratories, USA
- Miguel Correia, Universidade de Lisboa, Portugal
- Nathan DeBardeleben, Los Alamos National Laboratory, USA
- James Elliott, Sandia National Laboratories, USA
- Kurt Ferreira, Sandia National Laboratories, USA
- Michael Heroux, Sandia National Laboratories, USA
- Saurabh Hukerikar, Oak Ridge National Laboratory, USA
- Dieter Kranzlmueller, Ludwig-Maximilians University of Munich, Germany
- Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA
- Ignacio Laguna, Lawrence Livermore National Laboratory, USA
- Scott Levy, University of New Mexico, USA
- Kathryn Mohror, Lawrence Livermore National Laboratory, USA
- Christine Morin, INRIA Rennes, France
- Dirk Pflueger, University of Stuttgart, Germany
- Nageswara Rao, Oak Ridge National Laboratory, USA
- Alexander Reinefeld, Zuse Institute Berlin, Germany
- Rolf Riesen, Intel Corporation, USA
- Yves Robert, ENS Lyon, France
- Thomas Ropars, Universite Grenoble Alpes, France
- Martin Schulz, Lawrence Livermore 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
I apologize for any cross-posting of this announcement.
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Int. Workshop on High Performance Computing Systems for Bioinformatics and Life Sciences
(BILIS 2017)
http://hpcs2017.cisedu.info/conference/workshops---hpcs2017/workshop17-bilis
July 17 – July 21, 2017
Genoa, Italy
held in conjunction with
International Conference on High Performance Computing & Simulation (HPCS 2017)
http://hpcs17.cisedu.info/
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* * * CALL FOR PAPERS * * *
EXTENDED Submission Deadline: April 15, 2017
Submissions could be for full papers, short papers, poster papers, or posters
========================================================================================
IMPORTANT DATES
Paper Submissions: --------------------------------- April 15, 2017 - Extended
Acceptance Notification: --------------------------- April 28, 2017
Camera Ready Papers and Registration Due by: ------- May 11, 2017
Conference Dates: --------------------------------- July 17 – 21, 2017
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SCOPE AND OBJECTIVES
Incorporating new advancements of Information Technology (IT) in general and High Performance Computing (HPC) in particular in the domain of Life Sciences and Biomedical Research continues to receive tremendous attention of researchers, biomedical institutions and the rest of the biomedical community. Although medical instruments have benefited a great deal from the technological advances of the couple of decades, the impact of integrating IT advancements in addressing critical problems in biomedical research remains limited and the process of penetrating IT tools in the medical profession continues to be a very challenging problem. For example, the use of electronic medical records and Hospital Information Systems in improving health care remains fragmented. Similarly, the use of advanced computational tools seamlessly in the biomedical research cycle continues to be minimal.
Due to the computational intensive problems in life sciences, the marriage between the Bioinformatics domain and high performance computing is critical to the advancement of Biosciences. In addition, the problems in this domain tend to be highly parallelizable and deal with large datasets, hence using HPC is a natural fit. The Bioinformatics domain is rich in applications that require extracting useful information from very large and continuously growing sequence of databases. Most methods used for analyzing DNA/Protein sequences are known to be computationally intensive, providing motivation for the use of powerful computational systems with high throughput characteristics.
Moreover, high-throughput wet lab platforms such as next generation sequencing, microarray and mass spectrometry, are producing a huge amount of experimental "omics" data. The increasing availability of omics data poses new challenges to bioinformatics applications that need to face in a semi-automatic way an overwhelming availability of raw data. Main challenges regard: 1) the efficient storage, retrieval and integration of experimental data; 2) their efficient and high-throughput preprocessing and analysis; 3) the building of reproducible "in silico" experiments; 4) the integration of analysis results with pre-existing knowledge usually stored into ontologies.
As the storage, preprocessing and analysis of raw experimental data is becoming the main bottleneck of the analysis pipeline, parallel computing is playing an important role in all steps of the life sciences research pipeline, from raw data management and processing, to data integration and analysis, and to data exploration and visualization. Moreover, Cloud Computing is becoming the key technology to hide the complexity of computing infrastructures, to reduce the cost of the data analysis task, and especially to change the overall business model of biomedical research and health provision.
Considering the complex analysis pipeline of the biomedical research, the bottleneck is more and more moving toward the storage, integration, and analysis of experimental data, as well as their correlation and integration with publicly available data banks In such a scenario, large-scale distributed databases and parallel bioinformatics tools are key tools for organizing and exploring biological and biomedical data with the aim to discover new knowledge in biology and medicine.
In the current Information age, further progress of Medical Sciences requires successful integration with Computational and Information Sciences. The workshop attempts to attract innovative ways of how such integration can be achieved via Bioinformatics and Biomedical Informatics research, particularly in taking advantage of the new advancements in HPC systems. The focus of data analysis and data mining tools in biomedical research highlights the current state of research in the key biomedical research areas such as bioinformatics, medical informatics and biomedical imaging. Addressing performance concerns in managing and accessing medical data, while facilitating the ability to integrate and correlate different biomedical databases remains an outstanding problem in biomedical research. The amount of available biomedical data continues to grow in an exponential rate; however, the impact of utilizing such resources remains minimal. The development of innovative tools in HPC environments to integrate, analyze and mine such data sources is a key step towards achieving large impact levels.
The workshop focuses on topics related to the utilization of HPC systems and new models of parallel computing and cloud computing in problems related to Biomedical Informatics and Life Sciences, along with the use of data integration and data mining tools to support biomedical research and Health Care.
The BILIS Workshop topics include (but are not limited to) the following:
HPC for the Analysis of Biological Data
Bioinformatics Tools for Health Care
Parallel Algorithms for Bioinformatics Applications
Ontologies in Biology and Medicine
Integration and Analysis of Molecular and Clinical Data
Parallel Bioinformatics Algorithms
Algorithms and Tools for Biomedical Imaging and Medical Signal Processing
Energy Aware Scheduling Techniques for Large Scale Biomedical Applications
HPC for analyzing Biological Networks
Next Generation Sequencing and Advanced Tools for DNA Assembly
HPC for Gene, Protein/RNA Analysis and Structure Prediction
Identification of Biomarkers
Biomedical Visualization Tools
Efficient Clustering and Classification Algorithms
Correlation Networks in Biomedical Research
Data Mining Techniques in Biomedical Applications
Heterogeneous Data Integration
HPC systems for Ontology and Database Integration
Pattern Recognition and Search Tools in Biological and Clinical Databases
Ubiquitous Medical Knowledge Discovery and Exchange
HPC for Monitoring and Treatment Facilities
Drug Design and Modeling
Computer Assisted Surgery and Medical Procedures
Remote Patient Monitoring, Homecare Applications
Mobile and Wireless Healthcare and Biomedical Applications
Cloud Computing for Bioinformatics, Medicine, and Health Systems
INSTRUCTIONS FOR PAPER SUBMISSIONS
You are invited to submit original and unpublished research works on above and other topics related to HPC for Bioinformatics, Healthcare and Life Sciences. Submitted papers must not have been published or simultaneously submitted elsewhere. 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), poster papers and posters (please refer to http://hpcs2017.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 workshop organizers via email as attachments to Hesham Ali: hali(a)unomaha.edu, Mario Cannataro: cannataro(a)unicz.it. Acknowledgement will be sent within 48 hours of submission.
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 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 2017 conference to present the paper at the workshop.
PROCEEDINGS
Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2017 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 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 workshop, please contact the workshop organizers.
IMPORTANT DATES
Paper Submissions: ------------------------------------ April 15, 2017 - Extended
Acceptance Notification: ------------------------------ April 28, 2017
Camera Ready Papers and Registration Due by: ---------- May 11, 2017
Conference Dates: ------------------------------------ July 17 – 21, 2017
WORKSHOP ORGANIZERS
Prof. Hesham H. Ali
Department of Computer Science
College of Information Science and Technology
University of Nebraska at Omaha
Omaha, NE 68182 USA
Email: hesham(a)unomaha.edu
Prof. Mario Cannataro
Department of Medical and Surgical Sciences
University "Magna Græcia" of Catanzaro
Viale Europa (Località Germaneto)
88100 Catanzaro, Italy
Email: cannataro(a)unicz.it
Early registration for WinterSim 2017 ends on Friday, November 3, 2017. Register now for discounted rates.
Winter Simulation Conference (WSC) 2017
December 3-6, 2017
Red Rock Casino Resort & Spa
11011 W. Charleston Blvd.
Las Vegas, NV 89135
www.wintersim.org
Call for Papers, Presentations & Posters
WSC TURNS 50: SIMULATION EVERYWHERE!
>From experimentation to theory; standards and advanced methodologies, modeling and simulation is continually pushing the envelope of the available technologies, as many sectors have growing needs to process, visualize, make readable, understand, and deploy complex models that use immense amounts of data. These players need to transform data into hypothesis building and critical decision-making, and to change their models in response to new hypotheses, usually involving multiple highly specialized experts working together in geographically distant areas.
After 50 years, we are now beyond Modeling and Simulation using Grid and Cloud computing, Web-based and distributed simulation and other recent technologies. We need to deal with computing power and storage in heterogeneous environments, resources virtualization; services consumed on demand (with minimal limitation for resource location), power issues, massive datasets. We face new challenges as we have ubiquitous processors that can process applications on demand.
WSC 2017 focus is on addressing how to achieve the goal of having Simulation Everywhere!
LOCATION
WSC 2017 will be held at the Red Rock Casino Resort & Spa in Las Vegas, NV. The resort hotel provides an idyllic getaway just minutes from the world-renowned Las Vegas Strip and is ideally situated near the entrance to the Red Rock Canyon National Recreation Center.
PROGRAM
WSC 2016 features a comprehensive program ranging from introductory tutorials to state-of-the-art research and practice. Planned tracks are:
• Advanced Tutorials
• Analysis Methodology
• Architecture and Construction
• Aviation Modeling and Analysis
• Case Studies
• Cyber-Physical Systems
• Environment and Sustainability Applications
• Future of Simulation
• Gaming
• Healthcare Applications
• History of Simulation
• Hybrid Simulation
• Introductory Tutorials
• Manufacturing Applications
• Logistics, SCM, Transportation
• Modeling and Analysis of Semiconductor Manufacturing (MASM)
• Military Applications and Homeland Security
• Modeling and Simulation of Intelligent, Adaptive and Autonomous Systems (MSIAAS)
• Modeling Methodology
• Posters
• Project Management
• Simulation Education
• Simulation Optimization
• Social and Behavioral Simulation
• Vendor
The PhD Colloquium, Poster Session, Vendor and Case Studies tracks provide background on established and new methods, tools and application domains.
WSC 2017 continues to incorporate the MASM (Modeling and Analysis for Semiconductor Manufacturing) Conference, the leading modeling and analysis conference for global semiconductor manufacturing and supply chain operations.
WSC 2017 is sponsored by ACM/SIGSIM, ASA (Technical Co-Sponsor), ASIM Technical Co-Sponsor, IEEE/SMC (Technical Co-Sponsor), IIE, INFORMS-SIM, NIST (Technical Co-Sponsor) and SCS.
[Apologies for duplicated messages. Problems/issues: contact vsim-conf-owner(a)sce.carleton.ca]
Special Issue on Parallel and Distributed Data Mining
Information Sciences, Elsevier
The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge.
Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications.
This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications.
Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power.
The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following.
TOPICS OF INTEREST
Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms
Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications
Middleware for high-performance data mining on grid and cloud environments
Benchmarking and performance studies of high-performance data mining applications
Novel programming paradigms to support high-performance computing for data mining
Performance models for high-performance data mining applications and middleware
Programming models, tools, and environments for high-performance computing in data mining
Map-reduce based parallel data mining algorithms
Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining
Novel distributed data mining algorithms
SUBMISSION GUIDELINES
All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins). The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process.
A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a….
IMPORTANT DATES
Submission deadline: December 1th, 2017
First round notification: March 1th, 2018
Revised version due: May 1st, 2018
Final notification: June 1st, 2018
Camera-ready due: July 1st, 2018
Publication tentative date: October 2018
Guest editors:
Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it
University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation
Italo Epicoco, Email: italo.epicoco(a)unisalento.it
University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation
Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it
University of Salento, Italy
-
************************************************************************************
Massimo Cafaro, Ph.D.
Associate Professor
Dept. of Engineering for Innovation
University of Salento, Lecce, Italy
Via per Monteroni
73100 Lecce, Italy
Voice/Fax +39 0832 297371
Web http://sara.unisalento.it/~cafaro
E-mail massimo.cafaro(a)unisalento.it
cafaro(a)ieee.org
cafaro(a)acm.org
CMCC Foundation
Euro-Mediterranean Center on Climate Change
Via Augusto Imperatore, 16 - 73100 Lecce
massimo.cafaro(a)cmcc.it
************************************************************************************
[Apologies if you receive multiple copies of this CFP]
IA^3 2017
Seventh Workshop on Irregular Applications: Architectures and Algorithms
http://hpc.pnl.gov/IA3/
Monday, November 13, 2017
Colorado Convention Center
Room 507
Denver, CO
In conjunction with SC17
In collaboration with SIGHPC
Sponsored by TCHPC
Theme
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, tables, sparse matrices, deep nets, 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. 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.
Program
9:00 - 9:10 Welcome and Introduction
Antonino Tumeo, John Feo, Vito Giovanni Castellana
9:10 - 9:50 Keynote 1 - Chair: John Feo (PNNL)
A Taxonomy of HPDA Algorithms programming of Irregular Algorithms
Steve Conway (Hyperion Research)
9:50 - 10:00 Session 1: Parallel Algorithms
Chair: Marco Minutoli (PNNL & WSU)
Accelerating Energy Games Solvers on Modern Architectures Andrea Formisano, Raffaella Gentilini and Flavio Vella
10:00 - 10:30 Coffee Break
10:30 - 11:30 Session 2: Load Balancing
Chair: TBD
10:30 - 10:55 Overcoming Load Imbalance for Irregular Sparse Matrices
Goran Flegar and Hartwig Anzt
10:55 - 11:20 Progressive load balancing of asynchronous algorithms
Justs Zarins and Michele Weiland
11:20 - 11:30 Enabling Work-Efficiency for High Performance Vertex-Centric Graph Analytics on GPUs
Farzad Khorasani, Keval Vora, Rajiv Gupta and Laxmi N. Bhuyan
11:30 - 12:30 Session 3: Parallel Irregular Algorithms
Chair: TBD
11:30 - 11:55 Parallel Depth-First Search for Directed Acyclic Graphs
Maxim Naumov, Alysson Vrielink and Michael Garland
11:55 - 12:20 Optimizing Word2Vec Performance on Multicore Systems
Vasudevan Rengasamy, Tao-Yang Fu, Wang-Chien Lee and Kamesh Madduri
12:20 -12:30 Spherical Region Queries on Multicore Architectures
Hao Lu, Sudip Seal, Wei Guo and Jonathan Poplawsky
12:30 - 2:00 Lunch Break (on your own)
2:00 - 2:50 Keynote 2 - Chair: Vito Giovanni Castellana (PNNL)
Quantum Computing and Irregular Applications
Prof. Fred Chong (University of Chicago)
2:50 - 3:00 Session 4: Data Layouts
Chair: Marco Minutoli (PNNL & WSU)
An Efficient Data Layout Transformation Algorithm for Locality-Aware
Parallel Sparse FFT
Cheng Wang, Sunita Chandrasekaran and Barbara Chapman
3:00 - 3:30 Coffee Break
3:30 - 4:30 Session 5: Architecture for Irregular Applications
Chair: TBD
3:30 - 3:55 A Case for Migrating Execution for Irregular Applications
Peter Kogge and Shannon Kuntz
3:55 - 4:20 Pressure-Driven Hardware Managed Thread Concurrency for Irregular Applications
John Leidel, Xi Wang and Yong Chen
4:20 - 4:30 Evaluation of Knight Landing High Bandwidth Memory for HPC Workloads
Solmaz Salehian and Yonghong Yan
4:30 - 5:30 Debate - Moderator: Ruud Van Der Pas (Oracle)
Proposition: “Specialized, perhaps configurable, hardware and software are necessary to achieve high-performance, scalable data analytics"
Panelists: Rich Vuduc (Georgia Tech), Franz Franchetti (CMU), Eric Van Hensbergen (ARM), David Wang (Samsung)
[Apologies if you receive multiple copies of this call]
IEEE International Conference on Image Processing 2018 (ICIP 2018), Athens, Greece, October 7-10, 2018.
Call for Special Sessions Proposals
ICIP 2018 will include Special Sessions that provide the state-of-the-art, directions and challenges of proposed areas of interest to the image and video processing community. Proposals along (but not limited to) the following directions are particularly encouraged:
1. Machine learning-based advances in image/video/vision processing
(advances in traditional image/video/vision; novel augmented reality and virtual reality proposals)
2. Mobile consumer devices-driven image and video processing
3. Recent progress and new paradigms in image and video standardization
Special sessions proposals should include the following information:
* Title of the Special Session
* Motivation, novelty and timeliness of the proposed special session
* Short biography of the organizer(s)
* List of maximum eight (8) contributed papers (including titles, authors, contact information of the corresponding author, and a short abstract of each contribution).
Note that:
* Special session proposals shall be submitted through the conference website https://2018.ieeeicip.org/
* Each special session organizer may contribute at most ONE paper.
* A maximum of THREE organizers per Special Session may be proposed.
* The evaluation of the special session proposals will be based on their relevance, timeliness, impact, general fit to ICIP 2018, the qualifications of the organizers and the authors of the contributed papers.
* For accepted special session proposals, the authors will submit the papers using the regular ICIP web submission process (select the special session name when submitting the final paper).
* All special session papers will undergo the regular ICIP review process.
Dates:
* Special session proposals due: November 15, 2017
* Notification of the accepted proposals: December 15, 2017
* Submission of the special session papers: ICIP general submission (February 7, 2018)
* Notification of paper acceptance: ICIP general notifications (April 30, 2018)
Inquiries about Special Sessions can be sent to the Special Sessions co-Chairs at specialsessions(a)2018.ieeeicip.org
---------------------------------------------------
Call for Tutorials Proposals
The Program Committee is now accepting proposals from those interested in offering a tutorial at ICIP 2018. Tutorials will be held on Sunday, October 7, 2018 in half-day or full-day sessions.
Tutorial proposals are welcome on all topics within the technical scope of IEEE ICIP 2018. They should aim at bringing new and exciting areas of research to the image processing community. They should be timely and accessible to a large audience.
Each tutorial proposal must include:
· Title of the tutorial
· Presenter name(s) along with contact information, short biography, and selected publications
· Description of the tutorial and duration: half-day (3 hours) or full day (6 hours)
· A description of previous tutorial experience and past versions of the tutorial
· Rationale for the tutorial including both importance and timeliness
· Outline of the tutorial and description of material to be presented
Tutorial proposals will be peer-reviewed for relevance, quality, value, and novelty in terms of introducing new tools, ideas, and topics to the IP community.
Tutorial proposals are due by December 15, 2017, and notification of accepted proposals will be sent by February 15, 2018.
Tutorial proposals shall be submitted through the conference website https://2018.ieeeicip.org/
Inquiries about Tutorials may be sent to tutorials(a)2018.ieeeicip.org
By submitting a proposal, the presenter(s) understand the IEEE SPS policy of strongly encouraging video-recording the tutorial for education purposes if the proposal is accepted.
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Dear Colleagues:
We cordially invite you to share your latest research results at the
Complexis 2017 Conference:
3rd International Conference on Complexity, Future Information Systems
and Risk
http://www.complexis.org/
March 20 - 21, 2018
Funchal, Madeira / Portugal
Submission Deadline: October 16, 2017
---------------------------------
Call for Papers
---------------------------------
COMPLEXIS – the International Conference on Complexity, Future
Information Systems and Risk, aims at becoming a yearly meeting place
for presenting and discussing innovative views on all aspects of Complex
Information Systems, in different areas such as Informatics,
Telecommunications, Computational Intelligence, Biology, Biomedical
Engineering and Social Sciences. Information is pervasive in many areas
of human activity – perhaps all – and complexity is a characteristic of
current Exabyte-sized, highly connected and hyper dimensional,
information systems. COMPLEXIS 2018 is expected to provide an overview
of the state of the art as well as upcoming trends, and to promote
discussion about the potential of new methodologies, technologies and
application areas of complex information systems, in the academic and
corporate world.
Conference Areas:
1 - Complexity in Informatics, Automation and Networking
<http://www.complexis.org/CallForPapers.aspx#A1>
2 - Complexity in Biology and Biomedical Engineering
<http://www.complexis.org/CallForPapers.aspx#A2>
3 - Complexity in Social Sciences
<http://www.complexis.org/CallForPapers.aspx#A3>
4 - Complexity in Computational Intelligence and Future Information
Systems <http://www.complexis.org/CallForPapers.aspx#A4>
5 - Complexity in EDA, Embedded Systems, and Computer Architecture
<http://www.complexis.org/CallForPapers.aspx#A5>
6 - Network Complexity <http://www.complexis.org/CallForPapers.aspx#A6>
7 - Complexity in Risk and Predictive Modeling
<http://www.complexis.org/CallForPapers.aspx#A7>
In Cooperation with:
International Federation for Systems Research European Association for
Theoretical Computer Science
All papers presented at the conference venue will also be available at
the SCITEPRESS Digital Library <http://www.scitepress.org/DigitalLibrary/>.
Proceedings will be submitted for indexation by:
DBLP, Thomson-Reuters Conference Proceedings Citation Index, INSPEC, EI
and SCOPUS
[Apologies if you receive multiple copies of this message]
----------------
The Final Announcement and Call for Papers
Special Session
"Security in Parallel, Distributed and Network-Based Computing (SPDNS 2018)"
on 26th Euromicro International Conference on Parallel, Distributed and network-based Processing (PDP 2018)
Cambridge, UK, March 21-23, 2018
http://www.pdp2018.orghttp://www.pdp2018.org/specialsessions/snds.html
Paper submission deadline: 3 Nov, 2017 !
Special Session on "Security in Parallel, Distributed and Network-Based Computing" aims to bring together researchers and practitioners involved in multiple disciplines concerning security in distributed systems to exchange ideas and to learn the latest developments in this important field. We will focus on issues related to network and distributed system security, such as authentication, access control, confidentiality, integrity, availability, privacy, dependability and sustainability of distributed systems.
Previously unpublished papers offering novel research contributions to the theoretical and practical aspects of security in distributed systems are solicited for submission.
Topics of interest include, but are not limited to:
* Adaptive security
* Applied cryptography
* Authentication, authorization and access control
* Big data for security
* Cloud security
* Computer and network forensics
* Data mining, machine learning, and bio-inspired approaches for security
* Digital rights management
* Embedded system security
* Internet and web security
* Intrusion and malware detection and prevention
* Risk analysis and risk management
* Security and privacy in pervasive and ubiquitous computing
* Security evaluation
* Security of emerging technologies
* Security modeling and simulation
* Security policies
* Security protocols
* Software security
* Survivability
* Tamper resistance
* Trust management
* Trusted computing
Important dates
- Paper submission: 3 Nov, 2017
- Acceptance notification: 1 Dec, 2017
- Camera ready due: 22 Dec, 2017
- Conference: 21 - 23 Mar, 2018
Session Chair
Igor Kotenko
St Petersburg Institute for Informatics and Automation, Russia
ITMO University
Program Committee
Miguel Correia, INESC-ID, Instituto Superior Tecnico, Universidade de Lisboa, Portugal
Felix Gomez Marmol, University of Murcia, Spain
Sergey Bezzateev, Saint Petersburg University of Airspace Instrumentation, Russia
Ming-Yuh Huang, The Boeing Company, USA
Evgenia Novikova, Saint Petersburg LETI University, Russia
Nikolay Moldovyan, SPIIRAS, Russia
Martin Strecker, Universite de Toulouse, France
Nuno Neves, DI FC UL, Portugal
Igor Saenko, St.Petersburg Signal Academy, Russia
Luigi Coppolino, University of Naples "Parthenope", Italy
Dennis Gamayunov, Moscow State University, Russia
Gregorio Martinez Perez, University of Murcia, Spain
Andrey Chechulin, ITMO University, Russia
Fabrizio Baiardi, Pisa University, Italy
Cataldo Basile, Politecnico di Torino, Italy
Julien Bourgeois, UFC, France
Dumitru Burdescu, University of Craiova, Romania
Hakima Chaouchi, Telecom SudParis, France
Yannick Chevalier, Universite de Toulouse, France
Herve Debar, Telecom SudParis, France
Dieter Gollmann, Hamburg University of Technology, Germany
Stefanos Gritzalis, University of the Aegean, Greece
Alexander Grusho, Moscow State University, Russian Federation
Spyros Kokolakis, University of the Aegean, Greece
Antonio Mana, University of Malaga, Spain
Fabio Martinelli, IIT-CNR, Italy
Haralambos Mouratidis, University of Brighton, UK
Simin Nadjm-Tehrani, Linkoping University, Sweden
Vladimir Oleshchuk, University of Agder, Norway
Lotfi Ben Othmane, Fraunhofer SIT, Germany
Roland Rieke, Fraunhofer SIT, Germany
Luigi Romano, University of Naples "Parthenope", Italy
Jose Such, King's College London, UK
Peter Teufl, IAIK / Graz University of Technology, Austria
Shambhu Upadhyaya, University at Buffalo
Brecht Wyseur, Nagravision S.A., Saudi Arabia
Ilsun You, Korean Bible University, Korea
Submission guidelines
prospective authors should submit a full paper not exceeding 8 pages in the Conference proceedings format ( double-column, 10pt) through the EasyChair conference submission system (http://www.easychair.org/conferences/?confpdp2018). Please select the track "Security in Parallel, Distributed and Network-Based Computing".
Double-blind review: the paper should not contain authors names and affiliations; in the reference list, references to the authors' own work entries should be substituted with the string "omitted for blind review".
Publication: all accepted papers will be published by the Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be published after the notification of acceptance.
Proceedings: authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted to IEEE explore, CDSL, and for indexing among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge.
Special Issues: selected papers will be considered for a publication in a special issue of several journals.
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ACA 2018
24th International Conference on Applications of Computer Algebra
June 18-22 2018
University of Santiago de Compostela, Spain
ANNOUNCEMENT
http://www.usc.es/regaca/aca2018/
congreso.aca2018(a)usc.es
Topics
------
The ACA conference series is devoted to promoting all manner of computer
algebra applications, and encouraging the interaction of developers of
computer algebra systems with researchers and users (including
scientists, engineers, educators, and mathematicians). Topics include,
but are not limited to, computer algebra in the sciences, engineering,
medicine, pure and applied mathematics, cryptology, education, and
computer science.
The 24th International Conference on Applications of Computer Algebra
(ACA, http://math.unm.edu/aca.html) will take place in Santiago de
Compostela on June 18-22, 2018.
Call for Sessions
-----------------
The ACA conferences are organized as a series of Special Sessions. All
interested researchers can propose a Special Session by sending an
e-mail to the Program Chair (fbotana(at)uvigo.es). The Scientific
Committee (i.e. the ACA Working Group) will then decide on the
acceptance of the proposed session. Accepted sessions will be
immediately announced on the conference site.
A proposal for a Special Session has to include:
title of the Special Session,
short abstract describing the Special Session,
contact information of the organizers.
For more details see http://math.unm.edu/ACA/Organizing/special_session.html
For examples of past sessions, consult past ACA conferences
(http://math.unm.edu/aca.html)
Talk submissions have to be directed to the organizers of an appropriate
Special Session. It is expected that organizers actively contact
potential speakers..
Important Dates - Deadlines
---------------------------
Submission of session proposals: January 15th, 2018
Submission of talks: April 2nd, 2018
(standard) Registration: April 30th, 2018
Final version of abstracts: April 30th, 2018.
Submission of talks
-------------------
The talks are always submitted to session organizers after the
announcement of the proposed (and accepted) Special Sessions. Within
each session, talks are traditionally 1/2 hour in length (including time
for questions).
One who wants to submit a talk to a Special Session must send by e-mail
the following information to the session organizers:
Title of the talk.
Name(s) and affiliation(s) of the author(s).
An abstract of the talk. To aid in the creation of the proceedings
for the meeting, please follow the instruction at the conference web
page. Proceedings will be published with an ISBN. If your proposal is
accepted, your abstract (short, 1-2 pages, or extended, up to 5 pages)
will be included in the proceedings. The talk proposals (short or
extended abstracts) will be reviewed by the session organizers and they
will inform the authors about the acceptance.
Conference Organization
-----------------------
General Chair
Manuel Ladra, University of Santiago, Spain
Program Chair
Francisco Botana, University of Vigo, Spain
Publicity Chair
Felipe Gago, University of Santiago, Spain
Advisory Committee
Eugenio Roanes-Lozano
Stanly Steinberg
Michael Wester
Scientific Committee
The ACA Working Group
http://math.unm.edu/ACA/Organizing/WG.html