[hpc-announce] CFP: [Deadline Extension] SC13 Call for Technical Papers (Abstracts due April 19; Full Papers due April 26)

Thu Apr 4 22:59:51 CDT 2013

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 at info.supercomputing.org

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.

-- 
Prof. Wu FENG | Synergy Laboratory | Depts. of CS and ECE |
2202 Kraft Dr | Virginia Tech | Blacksburg, VA 24060-6356 |
540-231-1192 | feng at cs.vt.edu | http://www.cs.vt.edu/~feng/
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.mcs.anl.gov/mailman/private/hpc-announce/attachments/20130404/1bb943ac/attachment.html>