Monday 30 June 2014

HPCReS 2014 CALL FOR PAPERS

CALL FOR PAPERS
HPCReS 2014

Workshop on HPC research services
http://host.hpc.uvt.ro/events/hpcres-2014-international-workshop-on-hpc-research-services/

September 24-25, 2014, Timisoara, Romania
in conjunction with SYNASC 2014 (http://synasc.ro/2014/)

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Full paper submissions: 11 July 2014
Notifications: 31 July 2014
Revised papers and registrations: 1 Sept 2014
Event: 24-25 Sept 2014
Publication in IEEE proceedings of SYNASC 2014: Jan 2015
Extended version of selected papers for Scalable Computing (SCPE): Feb 2015
Notifications: March 2015
Publication of selected papers in SCPE: April 2015

AIM:
The purpose of this workshop is to present and discuss the state-of-the-art
in high-performance scientific computing with applications and various fields,
like environment, chemistry, physics etc.
Thus, the presentations will focus on applications needing high-performance computing,
physical modeling of large-scale problems, and the development of scalable algorithms
for solving large scale problems on modern parallel
and distributed high-performance computing platforms,
including multicore architectures, GPGPUs/GPUs, and clusters.
Furthermore, during the workshop the participants will have the opportunity
to discuss and share the latest research in parallel and distributed
high performance computing systems applied to scientific problems.
The emphasis of this workshop will be on running complex realistic applications
at sustained performance in production-grade HPC environments.
Scalability studies of complex computing codes on HPC platforms and the tools
and development environments facilitating improved scalability are among the expected contributions.

TOPICS:
Specific topics for this workshop include, but are not limited to, the following:

* Interactive HPC applications
* Multi-Scale / Multi- Physics HPC applications
* Exploration of large data sets on HPC systems
* Multicore/manycore architectures
* GPU support for applications
* Parallelization of compute or data-intensive tasks
* Data handling, integration and visualization in HPC
* Distributed infrastructures for scientific applications
* Programming paradigms for high performance computing
* Tools and programming environments supporting high performance computing
* Scheduling in high performance computing for scientific applications
* Workflow management and remote collaboration for scientific applications
* System level support for high performance computing
* Fault tolerance in parallel computing
* Scalability of infrastructures and applications

WORKSHOP CHAIRS:
* Ionel Muntean – Technical University of Cluj Napoca, Romania
* Emil Slusanschi – Politehnica University of Bucharest, Romania

PROGRAMME CHAIRS:
* Ralf Peter Mundani – Technical University of Munich, Germany
* Dana Petcu – West University of Timisoara, Romania

PROGRAM COMMITEE:

* Jesus Carretero, Polytechnical School of University Carlos III of Madrid, Spain
* Andrea Clematis, Istituto di Matematica Applicata e Tecnologie Informatiche, CNR, Italy
* Martin Buecker, Institut fuer Informatik, Universitat Jena, Germany
* James Davenport, University of Bath, UK
* Ann C. Elster, Norwegian University of Science and Technology, Norway
* Voichita Iancu, Politehnica University of Bucharest, Romania
* Florin Isaila, Argonne National Laboratory, USA
* Adrian Jackson, EPCC, University of Edinburgh, UK
* Emmanuel Jeannot, LABRI, INRIA, France
* Helen Karatza, Aristotle University of Thessaloniki, Greece
* Alexey Lastovetsky, University College Dublin, Ireland
* Pierre Manneback, Polytech-Mons, Belgium
* Svetozar Margenov, Bulgarian Academy of Sciences, Bulgaria
* Gabriel Mateescu, Institute for Applied Remote Sensing at EURAC Research, Italy
* Maya Neytcheva, Uppsala University, Sweden
* Thomas Rauber, University of Bayreuth, Germany
* Karolj Skala, Ruder Boskovic Institute, Croatia
* Suleyman Tosun, Ankara University, Turkey
* Roman Wyrzykowski, Czestochowa University of Technology, Poland
* Julius Zilinskas, Vilnius University, Lithuania

SUBMISSION:
Papers presenting original results are welcomed.
The papers should have maximum 8 pages in CPS Format submitted in the Easychair account of SYNASC workshops

SC'14 - Doctoral Showcase Program

CALL FOR SUBMISSIONS

                  SC'14 - Doctoral Showcase Program
    http://sc14.supercomputing.org/program/doctoral-showcase-program                        

               
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****                SUBMISSIONS DUE: JULY 31, 2014       *******

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The Doctoral Showcase Program invites graduating Ph.D. students in high-performance
computing, networking, storage and analysis to present a summary of their
dissertation research and engage in stimulating discussions with the SC community.
This program provides an ideal opportunity for senior researchers and prospective
employers in academia, research laboratories and industry to interact
with graduating Ph.D.s. Please encourage your students to participate.

Submissions must include original work, and may include results that have been
previously presented by the student in other forums. Students are asked to submit
an abstract of their talk, a two-page summary of their research, a poster draft,
publications list and three slides on their major results for consideration by
the Doctoral Showcase Committee. The authors of the accepted submissions will be
invited to present their work at SC14. To increase the visibility of the work
and foster discussion, each accepted submission will be presented in two forms:
podium and poster presentation.


IMPORTANT DATES
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- Submission deadline:     July 31, 2014.
- Acceptance notification: September 8, 2014.


CONTACTS
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For further information, please visit SC'14 Doctoral Showcase Program website
the Doctoral Showcase Co-Chairs at doc-showcase@info.supercomputing.org


ORGANIZING COMMITTEE
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SC14 DOCTORAL SHOWCASE CO-CHAIRS

Michela Becchi, University of Missouri
Karen L. Karavanic, Portland State University

SC14 DOCTORAL SHOWCASE COMMITTEE MEMBERS

Roger D. Chamberlain, Washington University
Jacqueline Chame, Information Sciences Institute
Arun Chauhan, Indiana University
Trilce Estrada, University of New Mexico
Michael Gerndt, Technical University Munich
Kamil Iskra, Argonne National Laboratory
Alice Koniges, Lawrence Berkeley National Laboratory
Kamesh Madduri, Pennsylvania State University
Catherine Olschanowsky, Colorado State University
Martin Schulz, Lawrence Livermore National Laboratory
Melissa C. Smith, Clemson University
Matthew E. Tolentino, Intel Corporation
Richard Vuduc, Georgia Institute of Technology
Ziliang Zong, Texas State University

Sunday 29 June 2014

Call for Papers, and Doctoral Consortium The 6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2014)

Call for Papers, and Doctoral Consortium
The 6th IEEE International Conference on Cloud Computing Technology and
Science (CloudCom 2014), Singapore, December 15-18, 2014
http://2014.cloudcom.org/
==============================
==============================

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.

Manuscripts need to be prepared according to the IEEE CS format, for
regular papers, the page limit will be 8 pages. Distinguished papers will
be invited to be included within a number of special issues in prestigious
international journals.

******************  IMPORTANT DATES ******************
Paper submissions: July 31, 2014
Paper Notification: September 2, 2014
Paper Camera-ready: September 16, 2014
Refer to our website for deadlines for other contributions.

****************** SCOPE AND TOPICS ******************
Topics of interest include, but are not limited to:

Architecture
?        Cloud Services models
?        Cloud services reference models and standardization
?        Intercloud architecture models
?        Cloud federation and hybrid cloud infrastructure
?        Cloud services provisioning and management
?        Cloud services delivery models, campus integration and ?last mile?
issues
?        Networking technologies for data centers, intracloud and
interclouds
?        Cloud powered services design
?        Programming models and systems/tools
?        Cloud system design with FPGA, GPU, APU
?        Monitoring, management and maintenance
?        Operational, economic and business models
?        Green data centers
?        Business processes, compliance and certification
?        Dynamic resource provisioning

Big Data
?        Machine learning
?        Data mining
?        Approximate and scalable statistical methods
?        Graph algorithms
?        Querying and search
?        Data Lifecycle Management for Big Data
?        Frameworks, tools and their
?        Composition
?        Storage and analytic architectures
?        Performance and debugging
?        Hardware optimizations for Big Data
?        Data Flow management and scheduling

Security and Privacy
?        Accountability and Audit in clouds
?        Authentication and authorization
?        Cloud integrity and binding issues
?        Cryptography for/ in the cloud
?        Hypervisor security
?        Identity/ Security as a Service
?        Prevention of data loss or leakage
?        Secure, interoperable identity in the Cloud
?        Security and privacy in clouds
?        Trust and credential management
?        Trusted Computing in Cloud Computing
?        Usability and security

Services and Applications
?        Security services on the Cloud
?        Data management applications and services
?        Scheduling and application workflows on the Cloud
?        Cloud application benchmarks
?        Cloud-based services and protocols
?        Cloud model and framework
?        Cloud-based storage and file systems
?        Cloud scalability and performance
?        Fault-tolerance of cloud services and applications
?        Application development and debugging tools
?        Business models and economics of Cloud services
?        Services for improving Cloud application availability
?        Use cases of Cloud applications

Virtualization
?        Server, storage, network virtualization
?        Resource monitoring
?        Virtual desktop
?        Resilience, fault tolerance
?        Modeling and performance evaluation
?        Security aspects
?        Enabling disaster recovery, job migration
?        Energy efficient issues

HPC on Cloud
?        Load balancing for HPC clouds
?        Middleware framework for HPC clouds
?        Scalable scheduling for HPC clouds
?        HPC as a Service
?        Performance Modeling and Management
?        Programming models for HPC clouds
?        HPC cloud applications ; Use cases, experiences with HPC clouds
?        Cloud deployment systems for HPC clouds
?        GPU on the Cloud

IoT and Mobile on Cloud
?        IoT cloud architectures, models
?        Cloud-based dynamic composition of IoT
?        Cloud-based context-aware IoT
?        Mobile cloud architectures and models
?        Green mobile cloud computing
?        Resource management in mobile cloud environments
?        Cloud support for mobility-aware networking protocols
?        Multimedia applications in mobile cloud environments
?        Security, privacy and trust in mobile IoT clouds
?        Cloud-based mobile networks and applications

General Track
Other emerging and new topics in the cloud, such as,
?        Software defined systems
?        Economics and market mechanisms
?        Green Cloud Computing
?        Benchmarking and performance studies

****************** Organizing Committee ******************
Steering Committee
Chunming Rong, Univ. of Stavanger, Norway
Martin Gilje Jaatun, SINTEF, Norway
Albert Zomaya, Univ. of Sydney, Australia
Stephen L. Diamond, IEEE Cloud Computing Initiative, USA

General Chairs
Wentong Cai, Nanyang Technological University
Rick Siow Mong Goh, IHPC A*Star, Singapore

Program Chairs
Siani Pearson, HP Labs, UK
Bingsheng He, Nanyang Technological University
Xueyan Tang, Nanyang Technological University

Poster and Demo
Lu Zhang, Southwest Jiaotong University, China
Zengxiang Li, IHPC A*Star, Singapore

PhD Consortium
Shadi Ibrahim, INRIA, France
Jianfeng Zhan, ICT, CAS, China

Workshops & Tutorials Chairs
Rui Fan, Nanyang Technological University
Xiaorong Li, IHPC A*Star, Singapore

Industry and Exhibition Chairs
Zheng Qin, IHPC A*Star, Singapore
Lee Bu Sung, Francis, Nanyang Technological University

Publication Chair
Haikun Liu, Nanyang Technological University

International Workshop on High Performance Big Graph Data Management, Analysis, and Mining

International Workshop on High Performance Big Graph Data Management, Analysis, and Mining ==

To be held in conjunction with IEEE BigData?14
Oct 27-Oct 30, 2014, Washington DC, USA.
(http://cs.iupui.edu/~fgsong/biggraphsworkshop)

Important Dates:
  Aug 30, 2014: Due date for workshop papers submission
  Sept 20, 2014: Notification of paper acceptance to authors
  Oct 5, 2014: Camera-ready of accepted papers


The First International Workshop on ?High Performance Big Graph Data Management, Analysis, and Mining? will be held in conjunction with IEEE BigData'14 in Washington DC, USA in October 2014.

Modern Big Data increasingly appears in the form of complex graphs and networks. Examples include the physical Internet, the world wide web, online social networks, phone networks, and biological networks. In addition to their massive sizes, these graphs are dynamic, noisy, and sometimes transient. They also conform to all five Vs (Volume, Velocity, Variety, Value and Veracity) that define Big Data. However, many graph-related problems are computationally difficult, and thus big graph data brings unique challenges, as well as numerous opportunities for researchers, to solve various problems that are significant to our communities.

Big graph problems are currently solved using several complementary paradigms. The most popular approach is perhaps by exploiting parallelism, through specialized algorithms for supercomputers, shared-memory multicore and manycore systems, and heterogeneous CPU-GPU systems. However, since real-world graphs are sparse and highly irregular, there are very few parallel implementations that can actually deliver high performance. The major challenges to scaling and efficiency include irregular data dependencies, poor locality, and high synchronization costs of current approaches. In addition to parallelism, researchers are developing approximation algorithms that use sampling for compressing and summarizing graph data. Streaming algorithms are also being considered for scenarios where the rate of updates is too fast to process the entire graph in a single pass. Further, out-of-core algorithms are necessary for massive graphs that do not fit in the main memory of a typical system.
 Researchers can use graph-based solutions for solving problems from many diverse disciplines, including routing and transportation, social networks, bioinformatics, computational science, health care, security and intelligence analysis.

This workshop aims to bring together researchers from different paradigms solving big graph problems under a unified platform for sharing their work and exchanging ideas. We are soliciting novel and original research contributions related to big graph data management, analysis, and mining (algorithms, software systems, applications, best practices, performance). Significant work-in-progress papers are also encouraged. Papers can be from any of the following areas including but not limited to:
  ? Parallel algorithms for big graph analysis on HPC systems
  ? Heterogeneous CPU-GPU solutions to solve big graph problems
  ? Extreme-scale computing for large graph, tensor, and network problems
  ? Sampling and summarization of large graphs
  ? Graph algorithms for large-scale scientific computing problems
  ? Graph clustering, partitioning, and classification methods
  ? Scalable graph topology measurement: diameter approximation, eigenvalues, triangle and graphlet counting
  ? Parallel algorithms for computing graph kernels
  ? Inference on Large graph data
  ? Graph evolution and dynamic graph models
  ? Graph databases, novel querying and indexing strategies for RDF data
  ? Novel applications of big graph problems in bioinformatics, health care, security, and social networks
  ? New software systems and runtime systems for big graph data mining

Papers should be at maximum 8 pages long, formatted using the style of Big-Data 2014 conference proceedings. Paper in PDF format can be sent to any of the program organizers by email by 11:59 pm PDT (Pacific Daylight Time) August 30, 2014 on the paper submission deadline.

Workshop Organizers:
  Mohammad Al Hasan
  Department of Computer and Information Science
  Indiana University - Purdue University
  Indianapolis, IN 46202
  alhasan@cs.iupui.edu

  Kamesh Madduri
  Computer Science and Engineering Department
  Pennsylvania State University
  University Park, PA 16802
  madduri@cse.psu.edu

  Fengguang Song
  Department of Computer and Information Science
  Indiana University - Purdue University
  Indianapolis, IN 46202
  fgsong@cs.iupui.edu


Technical Program Committee:
  Medha Atre (University of Pennsylvania)
  Mohammad Al Hasan (Indiana University Purdue University)
  Kamesh Madduri (Pennsylvania State University)
  Xia Ning (NEC Laboratories)
  Saeed Salem (North Dakota State University)
  Fengguang Song (Indiana University Purdue University)
  Guangming Tan (Chinese Academy of Sciences, China)
  Chen Tian (Futurewei Technologies USA)
  Stanimire Tomov (University of Tennessee Knoxville)
  Jeff Vetter (Oak Ridge National Laboratory, Georgia Tech)
  Daniel Waddington (Samsung Research America)
  Mohammed J. Zaki (Rensselaer Polytechnic Institute)



Thanks,
Mohammad Hasan, Kamesh Madduri, Fengguang Song

Friday 27 June 2014

SEHPCCSE workshop

Call for Papers
New challenges in computational science & engineering (CSE) continue to push the boundaries of available computing resources. There is a demand to utilize high performance computing (HPC), including GPGPUs and computing clusters, for computational science & engineering (CSE) applications.

However developing HPC software is not an easy task. Developers must solve reliability, availability, and maintainability problems in extreme scales, understand domain specific constraints, deal with uncertainties inherent in scientific exploration, and develop algorithms that use computing resources efficiently.

Software engineering (SE) researchers have developed tools and practices to support various development tasks, including: requirements management, design, validation + verification, deployment, and maintenance. However software development for HPC historically attracted little attention from the SE community. Paradoxically, the HPC CSE community has increasingly been adopting SE techniques and tools. Indeed, the development of CSE software for HPC differs significantly from the development of more traditional business information systems, from which many SE best practices and tools have been drawn. Development of HPC CSE software requires tailoring of SE tools/methods developed for more traditional software applications to fit the requirements of HPC applications.

The SE-HPCCSE workshop addresses this need by bringing together members of the SE and HPC CSE communities to share perspectives, present findings from research and practice, and generate an agenda to improve tools and practices for developing HPC CSE software.

Scope and Aims
This workshop is concerned with identifying the problems faced by those working with HPC Computational Science & Engineering (CSE) applications, and understanding how appropriate software engineering (SE) tools and practices might be applied to support the development of HPC CSE applications. These applications include large parallel models/simulations of the physical world running on HPC systems, and applications that analyze and/or manipulate large amounts of data.

The organizing committee hopes for participation from a broad range of stakeholders from across the SE, CSE, and HPC communities on topics including:

 *   Identification of the differences in development of software between business IT environments and research environments like HPC/CSE
 *   The challenges of communicating (ideas. common pieces of work, requirements, functionality, practice) between people with SE and CSE backgrounds
 *   SE tools and practices which are suited for HPC CSE applications
 *   Measuring the impact of SE techniques or tools on "scientific productivity"
 *   SE education and training gaps that prevent the development of HPC CSE applications
We invite both full papers (8-page) and shorter position/experience reports (4-page) that will be used to organize panel and group discussion sessions and be published in advance of the workshop to inform all attendees. We especially encourage members of the HPC and CSE communities to submit practical experience papers.

Papers on other related topics are also welcome. Please contact the organizers with any questions about the relevance of particular topics.

A workshop report will be produced which summarizes the workshops findings, and revised papers will be invited to be published in the workshop proceedings following the event.

Important Dates
Submission Deadline: August 23, 2014
Author Notification: September 15, 2014
Workshop Date: November 21, 2014
Final Manuscript Due for proceedings: TBD