<div>The SC'13 deadlines for abstract and full paper submission have been extended by two weeks to April 19 and April 26, respectively. These new deadlines are HARD; no additional extensions.</div><div><br></div><div>Please note that one MUST submit an abstract by April 19 in order to be permitted to submit a full paper by April 26.</div>
<div><br></div><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 --> Extended to April 19, 2013</div><div>Full papers due April 19, 2013 --> Extended to April 26, 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>- 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><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/~feng/" target="_blank">http://www.cs.vt.edu/~feng/</a></font></div>
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