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<font size="-1"><font face="Helvetica, Arial, sans-serif">forwarding
for </font></font><br>
Wuchun Feng <a class="moz-txt-link-rfc2396E" href="mailto:feng@cs.vt.edu"><feng@cs.vt.edu></a><br>
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<div>=========================</div>
<div>SC13 Call for Technical Papers</div>
<div>=========================</div>
<div><br>
</div>
<div>November 17 - 22, 2013</div>
<div>Denver, Colorado, USA</div>
<div><br>
</div>
<div>Abstracts due April 5, 2013</div>
<div>Full papers due April 12, 2013</div>
<div><a href="http://sc13.supercomputing.org/content/papers">http://sc13.supercomputing.org/content/papers</a></div>
<div><br>
</div>
<div>SC13, the premier annual international conference on
high-performance</div>
<div>computing, networking, and storage, will be held in Denver,
Colorado, </div>
<div>USA, November 17-22, 2013. The Technical Papers Program at SC
is </div>
<div>the leading venue for presenting the highest-quality original
research, </div>
<div>from the foundations of HPC to its emerging frontiers. The
conference</div>
<div>committee solicits submissions of excellent scientific merit
that</div>
<div>introduce new ideas to the field and stimulate future trends
on topics</div>
<div>such as applications, systems, parallel algorithms, and
performance</div>
<div>modeling. SC also welcomes submissions that make significant</div>
<div>contributions to the "state of the practice" by providing
compelling</div>
<div>insights on best practices for provisioning, using, and
enhancing high-</div>
<div>performance computing systems, services, and facilities.</div>
<div><br>
</div>
<div>Technical Paper Topic Areas</div>
<div>=======================</div>
<div><br>
</div>
<div>Submissions will be considered on any topic related to
high-performance</div>
<div>computing including, but not limited to, the nine topical
areas below.</div>
<div><br>
</div>
<div>1. Algorithms</div>
<div>2. Applications</div>
<div>3. Architectures and Networks</div>
<div>4. Clouds and Grids</div>
<div>5. Performance Analysis and Tools</div>
<div>6. Programming Systems</div>
<div>7. Storage, Visualization, and Analytics</div>
<div>8. System Software</div>
<div>9. State of the Practice</div>
<div><br>
</div>
<div>** Algorithms: The research & development, evaluation,
and optimization of </div>
<div>scalable, high-performance algorithms for problems that are
typically common </div>
<div>to multiple disciplines. Topics include</div>
<div>- Data assimilation, model refinement, and reduced-order
models</div>
<div>- Discrete and combinatorial problems</div>
<div>- Grid and mesh-based methods</div>
<div>- Graph algorithms</div>
<div>- Inverse problems</div>
<div>- Numerical methods, linear and non-linear systems</div>
<div>- Particle, N-body, and molecular/coarse-grained methods</div>
<div>- Uncertainty quantification</div>
<div>- Other high-performance algorithms</div>
<div><br>
</div>
<div>** Applications: The research & development and
enhancement of algorithms, </div>
<div>models, software, and problem solving environments for
domain-specific </div>
<div>applications that require high-performance computing,
networking, and storage. </div>
<div>Topics include</div>
<div>- Bioinformatics and computational biology</div>
<div>- Computational earth and atmospheric sciences</div>
<div>- Computational materials science and engineering</div>
<div>- Computational astronomy, chemistry, fluid dynamics,
physics, mechanics, etc.</div>
<div>- Computation and data enabled social science</div>
<div>- Computational design optimization for aerospace, energy,</div>
<div>manufacturing, and industrial applications</div>
<div>- Computational medicine and bioengineering</div>
<div>- Other high-performance applications</div>
<div><br>
</div>
<div>** Architecture and Networks: All aspects of
high-performance hardware </div>
<div>including the optimization and evaluation of processors and
networks. Topics </div>
<div>include</div>
<div>- Processor architecture, chip multiprocessors, GPUs, cache,
and memory</div>
<div>subsystems</div>
<div>- Interconnect technologies (InfiniBand, Myrinet,
Ethernet, Routable PCI etc.), </div>
<div>switch/router architecture, network topologies, on-chip or
optical networks, and </div>
<div>network fault tolerance</div>
<div>- Internet protocol (TCP, UDP, sockets), quality of service,
congestion</div>
<div>management, and collective communication</div>
<div>- Power-efficient architectures, high-availability
architectures,</div>
<div>stream or vector architectures, embedded and reconfigurable</div>
<div>architectures, and emerging technologies</div>
<div>- Innovative hardware/software co-design</div>
<div>- Parallel and scalable system architectures</div>
<div>- Performance evaluation and measurement of real systems</div>
<div><br>
</div>
<div>** Grids and Clouds: All aspects of grids and clouds,
including architecture, </div>
<div>configuration, optimization, and evaluation. Topics include</div>
<div>- Security and identity management</div>
<div>- Virtualization and overlays</div>
<div>- Scheduling, load balancing, workflows, and resource
provisioning</div>
<div>- Data management and scientific applications</div>
<div>- Self-configuration, management, information services, and
monitoring</div>
<div>- Compute and storage cloud architectures</div>
<div>- Programming models and tools for computing on clouds and
grids</div>
<div>- Quality of service and service-level agreement management</div>
<div>- Problem-solving environments and portals</div>
<div>- Provenance</div>
<div>- Service-oriented architectures and tools for integration of
clouds,</div>
<div>clusters, and grids</div>
<div><br>
</div>
<div>** Performance Analysis & Tools: Cross-cutting aspects
of performance, </div>
<div>including alternative metrics such as energy, power, or
resilience, that </div>
<div>
typically span multiple areas of expertise and are crucial
factors in the </div>
<div>design of scalable HPC systems. Topics include</div>
<div>
<div>- Alternative metrics for performance, such as energy,
power, or resilience</div>
<div>- Performance analysis beyond execution time and flop/s</div>
<div>- Analysis, modeling, or simulation for performance</div>
<div>- Empirical measurement of performance on real-world
systems</div>
<div>- Tools, code instrumentation, and instrumentation
infrastructure for </div>
<div>measurement and monitoring of performance</div>
<div>- Methodologies, metrics, and workloads for performance
analysis and tools</div>
<div>- New opportunities or challenges for PAT made possible by
emerging HPC </div>
<div>
technologies</div>
<div>- Workload characterization and benchmarking</div>
<div>- Performance studies of HPC subsystems, such as processor,
network, </div>
<div>memory, and I/O</div>
<div>- Performance-related design and analysis of applications</div>
<div>- Methodologies and formalisms for performance</div>
</div>
<div><br>
</div>
<div>** Programming Systems: Technologies that support parallel
programming for </div>
<div>large-scale systems as well as smaller-scale components that
will plausibly </div>
<div>serve as building blocks for next-generation HPC
architectures. Topics include</div>
<div>- Compiler analysis and optimization; program transformation</div>
<div>- Parallel programming languages and notations; programming
models</div>
<div>- Runtime systems</div>
<div>- Libraries (in support of end users or other aspects of the</div>
<div>programming environment)</div>
<div>- Parallel application frameworks</div>
<div>- Tools (e.g., debuggers, performance analysis, integrated
development</div>
<div>environments, data analysis, visualization)</div>
<div>- Software engineering for parallel programming</div>
<div>- Productivity-oriented programming environments and studies</div>
<div>- Solutions for parallel programming challenges:
interoperability,</div>
<div>memory consistency, determinism, race detection, work
stealing, load</div>
<div>balancing, etc.</div>
<div><br>
</div>
<div>** Storage, Visualization, and Analytics: All aspects of
storage, visualization, </div>
<div>and analysis. Topics include</div>
<div>- Databases for HPC, scalable structured storage</div>
<div>- Data mining, analysis, and visualization for modeling and
simulation</div>
<div>- Parallel file, storage, and archival systems</div>
<div>- Scalable storage, metadata, and data management</div>
<div>- I/O performance tuning, benchmarking, and middleware</div>
<div>- Next-generation storage systems and media</div>
<div>- Storage systems for data intensive computing</div>
<div>- Storage networks</div>
<div>- Reliability and fault tolerance in HPC storage</div>
<div>- Visualization and image processing</div>
<div><br>
</div>
<div>** System Software: The research & development of
operating systems, </div>
<div>runtime systems, and other low- level software that enables
allocation and </div>
<div>management of hardware resources for high-performance
computing</div>
<div>applications and services. Topics include</div>
<div>- Alternative and specialized operating systems and runtime
systems</div>
<div>for many-core processors</div>
<div>- Support for fault tolerance and resilience</div>
<div>- Management of complex memory hierarchies and transactional
memory</div>
<div>- Enhancements for attached and integrated accelerators</div>
<div>- Distributed memory and shared memory systems</div>
<div>- Communication optimization</div>
<div>- Interactions between the OS, runtime, compiler, middleware,
and tools</div>
<div>- Strategies for managing and reducing energy consumption</div>
<div>- Virtualization and virtual machines</div>
<div>- Approaches for enabling adaptive and introspective system
software</div>
<div><br>
</div>
<div>** State of the Practice: All aspects related to the
pragmatic practices of </div>
<div>HPC, including infrastructure, services, facilities,
large-scale application</div>
<div>executions, etc. Submissions that develop best practices,
optimized designs, </div>
<div>or benchmarks are of particular interest. Although
concrete case studies </div>
<div>within a conceptual framework would likely serve as the basis
for submitted </div>
<div>papers, efforts to generalize the experience for wider
applicability will be </div>
<div>highly valued. Topics include</div>
<div>- Deployment experiences of large-scale infrastructures and
facilities</div>
<div>- Long-term infrastructural management experiences</div>
<div>- Comparative benchmarks of actual machines over a wide
spectrum of</div>
<div>workloads</div>
<div>- Pragmatic resource management strategies and experiences</div>
<div>- Facilitation of "big data" associated with supercomputing</div>
<div>- User support experiences with large-scale and novel
machines</div>
<div>- Multi-center infrastructures and their management</div>
<div>- Pragmatic bridging of cloud data centers and supercomputing
centers</div>
<div>
- Education, training, and dissemination activities and
their quantitative </div>
<div>results</div>
<div>- Procurement, technology investment, and acquisition of best
practices</div>
<div>- Infrastructural policy issues, especially international
experiences</div>
<div><br>
</div>
<div>Review Process</div>
<div>
=============</div>
<div>The SC13 Technical Papers Committee will rigorously review
all submissions</div>
<div>with the goal of selecting the best technical
contributions across both </div>
<div>established and emerging areas of HPC. In an effort to
further enhance the </div>
<div>review process and to create an exceptional program,
SC13 will employ a </div>
<div>review rebuttal option for authors. The review process
acceptance criteria will </div>
<div>concentrate on originality, technical soundness, presentation
quality, timeliness,</div>
<div> impact, and relevance to SC. Some papers may present
principles, results, </div>
<div>and discussions in the context of a single node, core,
thread, or GPU. To be </div>
<div>accepted, these papers must measurably improve upon the state
of the art </div>
<div>along dimensions that are relevant for SC.</div>
<div><br>
</div>
<div>Awards will be presented for Best Paper and Best Student
Paper. With our</div>
<div>focus on quality and the observed trend towards substantial
increases in </div>
<div>submissions from year to year, the committee expects a 20%
acceptance </div>
<div>rate for SC13 Technical Papers.</div>
<div><br>
</div>
<div>** How to Submit: </div>
<div><br>
</div>
<div>SC follows a two-part submission process, with abstracts due
by April 5, 2013 </div>
<div>and full papers by April 12, 2013. Abstracts and papers must
be submitted </div>
<div>electronically at <a
href="https://submissions.supercomputing.org/">https://submissions.supercomputing.org/</a>.
A sample submission </div>
<div>form is also available at that site (click on the tab "Sample
Submission Forms"</div>
<div>at the login page).</div>
<div><br>
</div>
<div>Format: Submissions are limited to 10 pages in the ACM format
(see</div>
<div><a
href="http://www.acm.org/sigs/publications/proceedings-templates">http://www.acm.org/sigs/publications/proceedings-templates</a>. The
10-page limit </div>
<div>includes figures, tables, and appendices, but does not
include references, for </div>
<div>which there is no page limit.</div>
<div><br>
</div>
<div>Selecting areas of contribution: All submissions must
indicate one of the </div>
<div>nine areas as the primary area of contribution. One of the
remaining eight areas </div>
<div>may be indicated as a secondary area of contribution.</div>
<div><br>
</div>
<div>Dual Submission: Submission material cannot overlap
substantially with any </div>
<div>paper previously accepted for publication or under review by
any conference </div>
<div>or journal during the SC review process. Authors
should follow IEEE publication</div>
<div>policies (see </div>
<div><a
href="http://www.ieee.org/publications_standards/publications/rights/Multi_Sub_Guidelines_Intro.html">http://www.ieee.org/publications_standards/publications/rights/Multi_Sub_Guidelines_Intro.html</a>).</div>
<div><br>
</div>
<div>Important SC13 Information</div>
<div>======================</div>
<div>Location : Colorado Convention Center, Denver, Colorado, USA</div>
<div>Information : <a href="http://sc13.supercomputing.org/">http://sc13.supercomputing.org/</a></div>
<div>Web Submissions : <a
href="https://submissions.supercomputing.org/">https://submissions.supercomputing.org/</a></div>
<div>Email Contact : <a
href="mailto:papers@info.supercomputing.org">papers@info.supercomputing.org</a></div>
<div><br>
</div>
<div>Important Dates</div>
<div>=============</div>
<div>Submissions Open : February 15, 2013</div>
<div>Abstracts Due : April 5, 2013 (Abstracts are required in
order to submit a full paper.)</div>
<div>Full Papers Due : April 12, 2013</div>
<div>Review Rebuttal : June 14--18, 2013</div>
<div>Notification : July 1, 2013</div>
<div>Conference Dates: November 17-22, 2013</div>
<div><br>
</div>
<div>SC13 Technical Papers Committee</div>
<div>============================</div>
<div><br>
</div>
<div>** SC13 Technical Papers Chairs</div>
<div>Wu Feng, Virginia Tech</div>
<div>Kengo Nakajima, University of Tokyo</div>
<div><br>
</div>
<div>** SC13 Technical Papers Areas Chairs</div>
<div>- Algorithms : Laura Grigori, INRIA and Alex Pothen, Purdue
University</div>
<div>- Applications : Michael Heroux, Sandia and Richard Vuduc,
Georgia Tech</div>
<div>- Architecture and Networks : Jose Flich, UPC and Scott
Pakin, LANL</div>
<div>- Grids and Clouds : Kate Keahey, ANL, Thierry Priol, INRIA</div>
<div>- Performance Analysis and Tools: Allen Malony, U. Oregon and
Bernd Mohr, </div>
<div>Juelich Supercomputing Centre</div>
<div>- Programming Systems : Michael Garland, NVIDIA and Kenjiro
Taura, U. </div>
<div>Tokyo</div>
<div>- Storage, Visualization, and Analytics : Toni Cortes, BSC
and Kwan-Liu Ma, </div>
<div>UC-Davis</div>
<div>- System Software : Pavan Balaji, ANL and Taisuke Boku, U.
Tsukuba</div>
<div>- State of the Practice : William Kramer, NCSA and Dominik
Ulmer, CSCS</div>
<div><br>
</div>
<div>The complete list of members of the technical papers
committee is</div>
<div>available online at <a
href="http://sc13.supercomputing.org/content/committees">http://sc13.supercomputing.org/content/committees</a>.</div>
<div><br>
</div>
-- <br>
<font face="'courier new', monospace">Prof. Wu FENG | Synergy
Laboratory | Depts. of CS and ECE |</font>
<div>
<div><font face="'courier new', monospace">2202 Kraft Dr |
Virginia Tech | Blacksburg, VA 24060-6356 |<br>
540-231-1192 | </font><a href="mailto:feng@cs.vt.edu"
target="_blank"><font face="'courier new', monospace">feng@cs.vt.edu</font></a><font
face="'courier new', monospace"> | <a
href="http://www.cs.vt.edu/%7Efeng/" target="_blank">http://www.cs.vt.edu/~feng/</a></font></div>
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