Supercomputing conference paper deadlines

> Date: Thu, 4 Apr 2013 23:59:51 -0400
> From: Wuchun Feng <[email protected]>
> To: hpc-announce-zhzY/AYb9nBYTrM/[email protected]
> Subject: [hpc-announce] CFP: [Deadline Extension] SC13 Call for
> 	Technical Papers (Abstracts due April 19; Full Papers due April 26)
> Message-ID:
> 	<CAL+Gqpqcc31HZJnbjyTPTWuj2DQgYV_2WsQGdmbzOnQ++moSWA-JsoAwUIsXosN+BqQ9rBEUg@public.gmane.org>
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> 
> 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.
> 
> Please note that one MUST submit an abstract by April 19 in order to be
> permitted to submit a full paper by April 26.
> 
> =======================
> SC13 Call for Technical Papers
> =======================
> 
> November 17 - 22, 2013
> Denver, Colorado, USA
> 
> Abstracts due April 5, 2013 --> Extended to April 19, 2013
> Full papers due April 19, 2013 --> Extended to April 26, 2013
> http://sc13.supercomputing.org/content/papers
> 
> SC13, the premier annual international conference on high-performance
> computing, networking, and storage, will be held in Denver, Colorado,
> USA, November 17-22, 2013. The Technical Papers Program at SC is
> the leading venue for presenting the highest-quality original research,
> from the foundations of HPC to its emerging frontiers. The conference
> committee solicits submissions of excellent scientific merit that
> introduce new ideas to the field and stimulate future trends on topics
> such as applications, systems, parallel algorithms, and performance
> modeling. SC also welcomes submissions that make significant
> contributions to the "state of the practice" by providing compelling
> insights on best practices for provisioning, using, and enhancing high-
> performance computing systems, services, and facilities.
> 
> Technical Paper Topic Areas
> =====================
> 
> Submissions will be considered on any topic related to high-performance
> computing including, but not limited to, the nine topical areas below.
> 
> 1.   Algorithms
> 2.   Applications
> 3.   Architectures and Networks
> 4.   Clouds and Grids
> 5.   Performance Analysis and Tools
> 6.   Programming Systems
> 7.   Storage, Visualization, and Analytics
> 8.   System Software
> 9.   State of the Practice
> 
> ** Algorithms: The research & development, evaluation, and optimization of
> scalable, high-performance algorithms for problems that are typically
> common
> to multiple disciplines. Topics include
> - Data assimilation, model refinement, and reduced-order models
> - Discrete and combinatorial problems
> - Grid and mesh-based methods
> - Graph algorithms
> - Inverse problems
> - Numerical methods, linear and non-linear systems
> - Particle, N-body, and molecular/coarse-grained methods
> - Uncertainty quantification
> - Other high-performance algorithms
> 
> ** Applications: The research & development and enhancement of algorithms,
> models, software, and problem solving environments for domain-specific
> applications that require high-performance computing, networking, and
> storage.
> Topics include
> - Bioinformatics and computational biology
> - Computational earth and atmospheric sciences
> - Computational materials science and engineering
> - Computational astronomy, chemistry, fluid dynamics, physics, mechanics,
> etc.
> - Computation and data enabled social science
> - Computational design optimization for aerospace, energy,
> manufacturing, and industrial applications
> - Computational medicine and bioengineering
> - Other high-performance applications
> 
> ** Architecture and Networks:  All aspects of high-performance hardware
> including the optimization and evaluation of processors and networks.
> Topics
> include
> - Processor architecture, chip multiprocessors, GPUs, cache, and memory
> subsystems
> - Interconnect technologies (InfiniBand, Myrinet, Ethernet, Routable PCI
> etc.),
> switch/router architecture, network topologies, on-chip or optical
> networks, and
> network fault tolerance
> - Internet protocol (TCP, UDP, sockets), quality of service, congestion
> management, and collective communication
> - Power-efficient architectures, high-availability architectures,
> stream or vector architectures, embedded and reconfigurable
> architectures, and emerging technologies
> - Innovative hardware/software co-design
> - Parallel and scalable system architectures
> - Performance evaluation and measurement of real systems
> 
> ** Grids and Clouds:  All aspects of grids and clouds, including
> architecture,
> configuration, optimization, and evaluation. Topics include
> - Security and identity management
> - Virtualization and overlays
> - Scheduling, load balancing, workflows, and resource provisioning
> - Data management and scientific applications
> - Self-configuration, management, information services, and monitoring
> - Compute and storage cloud architectures
> - Programming models and tools for computing on clouds and grids
> - Quality of service and service-level agreement management
> - Problem-solving environments and portals
> - Provenance
> - Service-oriented architectures and tools for integration of clouds,
> clusters, and grids
> 
> ** Performance Analysis & Tools:  Cross-cutting aspects of performance,
> including alternative metrics such as energy, power, or resilience, that
> typically span multiple areas of expertise and are crucial factors in the
> design of scalable HPC systems. Topics include
> - Alternative metrics for performance, such as energy, power, or resilience
> - Performance analysis beyond execution time and flop/s
> - Analysis, modeling, or simulation for performance
> - Empirical measurement of performance on real-world systems
> - Tools, code instrumentation, and instrumentation infrastructure for
> measurement and monitoring of performance
> - Methodologies, metrics, and workloads for performance analysis and tools
> - New opportunities or challenges for PAT made possible by emerging HPC
> technologies
> - Workload characterization and benchmarking
> - Performance studies of HPC subsystems, such as processor, network,
> memory, and I/O
> - Performance-related design and analysis of applications
> - Methodologies and formalisms for performance
> 
> ** Programming Systems: Technologies that support parallel programming for
> large-scale systems as well as smaller-scale components that will plausibly
> serve as building blocks for next-generation HPC architectures. Topics
> include
> - Compiler analysis and optimization; program transformation
> - Parallel programming languages and notations; programming models
> - Runtime systems
> - Libraries (in support of end users or other aspects of the
> programming environment)
> - Parallel application frameworks
> - Tools (e.g., debuggers, performance analysis, integrated development
> environments, data analysis, visualization)
> - Software engineering for parallel programming
> - Productivity-oriented programming environments and studies
> - Solutions for parallel programming challenges: interoperability,
> memory consistency, determinism, race detection, work stealing, load
> balancing, etc.
> 
> ** Storage, Visualization, and Analytics:  All aspects of storage,
> visualization,
> and analysis. Topics include
> - Databases for HPC, scalable structured storage
> - Data mining, analysis, and visualization for modeling and simulation
> - Parallel file, storage, and archival systems
> - Scalable storage, metadata, and data management
> - I/O performance tuning, benchmarking, and middleware
> - Next-generation storage systems and media
> - Storage systems for data intensive computing
> - Storage networks
> - Reliability and fault tolerance in HPC storage
> - Visualization and image processing
> 
> ** System Software:  The research & development of operating systems,
> runtime systems, and other low- level software that enables allocation and
> management of hardware resources for high-performance computing
> applications and services. Topics include
> - Alternative and specialized operating systems and runtime systems
> for many-core processors
> - Support for fault tolerance and resilience
> - Management of complex memory hierarchies and transactional memory
> - Enhancements for attached and integrated accelerators
> - Distributed memory and shared memory systems
> - Communication optimization
> - Interactions between the OS, runtime, compiler, middleware, and tools
> - Strategies for managing and reducing energy consumption
> - Virtualization and virtual machines
> - Approaches for enabling adaptive and introspective system software
> 
> ** State of the Practice:  All aspects related to the pragmatic practices
> of
> HPC, including infrastructure, services, facilities, large-scale application
> executions, etc. Submissions that develop best practices, optimized
> designs,
> or benchmarks are of particular interest. Although concrete case studies
> within a conceptual framework would likely serve as the basis for submitted
> papers, efforts to generalize the experience for wider applicability will
> be
> highly valued. Topics include
> - Deployment experiences of large-scale infrastructures and facilities
> - Long-term infrastructural management experiences
> - Comparative benchmarks of actual machines over a wide spectrum of
> workloads
> - Pragmatic resource management strategies and experiences
> - Facilitation of "big data" associated with supercomputing
> - User support experiences with large-scale and novel machines
> - Multi-center infrastructures and their management
> - Pragmatic bridging of cloud data centers and supercomputing centers
> - Education, training, and dissemination activities and their quantitative
> results
> - Procurement, technology investment, and acquisition of best practices
> - Infrastructural policy issues, especially international experiences
> 
> Review Process
> ============
> The SC13 Technical Papers Committee will rigorously review all submissions
> with the goal of selecting the best technical contributions across both
> established and emerging areas of HPC. In an effort to further enhance the
> review process and to create an exceptional program, SC13 will employ a
> review rebuttal option for authors. The review process acceptance criteria
> will
> concentrate on originality, technical soundness, presentation quality,
> timeliness,
> impact, and relevance to SC. Some papers may present principles, results,
> and discussions in the context of a single node, core, thread, or GPU. To
> be
> accepted, these papers must measurably improve upon the state of the art
> along dimensions that are relevant for SC.
> 
> Awards will be presented for Best Paper and Best Student Paper. With our
> focus on quality and the observed trend towards substantial increases in
> submissions from year to year, the committee expects a 20% acceptance
> rate for SC13 Technical Papers.
> 
> ** How to Submit:
> 
> SC follows a two-part submission process, with abstracts due by April 5,
> 2013
> and full papers by April 12, 2013. Abstracts and papers must be submitted
> electronically at https://submissions.supercomputing.org/. A sample
> submission
> form is also available at that site (click on the tab "Sample Submission
> Forms"
> at the login page).
> 
> Format: Submissions are limited to 10 pages in the ACM format (see
> http://www.acm.org/sigs/publications/proceedings-templates. The 10-page
> limit
> includes figures, tables, and appendices, but does not include references,
> for
> which there is no page limit.
> 
> Selecting areas of contribution: All submissions must indicate one of the
> nine areas as the primary area of contribution. One of the remaining eight
> areas
> may be indicated as a secondary area of contribution.
> 
> Dual Submission: Submission material cannot overlap substantially with any
> paper previously accepted for publication or under review by any conference
> or journal during the SC review process. Authors should follow IEEE
> publication
> policies (see
> http://www.ieee.org/publications_standards/publications/rights/Multi_Sub_Guidelines_Intro.html
> ).
> 
> Important SC13 Information
> ====================
> Location : Colorado Convention Center, Denver, Colorado, USA
> Information : http://sc13.supercomputing.org/
> Web Submissions : https://submissions.supercomputing.org/
> Email Contact : papers-73N75vfzr/vH/[email protected]
> 
> Important Dates
> ============
> Submissions Open : February 15, 2013
> Abstracts Due : April 5, 2013 (Abstracts are required in order to submit a
> full paper.)
> Full Papers Due : April 12, 2013
> Review Rebuttal : June 14--18, 2013
> Notification : July 1, 2013
> Conference Dates: November 17-22, 2013
> 
> SC13 Technical Papers Committee
> ==========================
> 
> ** SC13 Technical Papers Chairs
> Wu Feng, Virginia Tech
> Kengo Nakajima, University of Tokyo
> 
> ** SC13 Technical Papers Areas Chairs
> - Algorithms : Laura Grigori, INRIA and Alex Pothen, Purdue University
> - Applications : Michael Heroux, Sandia and Richard Vuduc, Georgia Tech
> - Architecture and Networks : Jose Flich, UPC and Scott Pakin, LANL
> - Grids and Clouds : Kate Keahey, ANL, Thierry Priol, INRIA
> - Performance Analysis and Tools: Allen Malony, U. Oregon and Bernd Mohr,
> Juelich Supercomputing Centre
> - Programming Systems : Michael Garland, NVIDIA and Kenjiro Taura, U.
> Tokyo
> - Storage, Visualization, and Analytics : Toni Cortes, BSC and Kwan-Liu Ma,
> UC-Davis
> - System Software : Pavan Balaji, ANL and Taisuke Boku, U. Tsukuba
> - State of the Practice : William Kramer, NCSA and Dominik Ulmer, CSCS
> 
> The complete list of members of the technical papers committee is
> available online at http://sc13.supercomputing.org/content/committees.
> 
>