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INPAR 2011 : Innovative Parallel Computing - Foundations & Applications of GPU, Manycore, and Heterogeneous Systems

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Link: http://www.innovativeparallel.org/CFP.aspx
 
When Oct 10, 2011 - Oct 11, 2011
Where San Jose, CA
Abstract Registration Due Jun 10, 2011
Submission Deadline Jun 17, 2011
Notification Due Jul 26, 2011
Final Version Due Aug 16, 2011
Categories    high performance computing
 

Call For Papers

Innovative Parallel Computing
Foundations & Applications of GPU, Manycore, and Heterogeneous Systems (INPAR’11)
Call for participation

We are pleased to announce the 2011 Innovative Parallel Computing: Foundations & Applications of GPU, Manycore, and Heterogeneous Systems (InPar’11). This new conference provides a first-tier academic venue for peer-reviewed publications in the emerging fields of parallel computing, encompassing the topics of GPU computing, manycore computing, and heterogeneous computing.

InPar has dual focus on “Foundations”—the fundamental advances in parallel computing itself— and “Applications”—case studies and lessons learned from the application of commodity parallel computing in domains across science and engineering. The goal of InPar is to bring together researchers in the myriad fields being revolutionized by GPUs to share experiences, discover commonalities, and both inform and learn from the computer scientists working on the foundations of parallel computing.

Topics: InPar encourages papers involving current GPU/manycore architectures, new or emerging commodity parallel architectures (such as Intel “MIC” products), and hybrid or heterogeneous systems. Possible topics include, but are not limited to:

Foundations: Applications:
Programming systems
Parallel programming models
Languages, including domain-specific languages (DSLs)
Compilers and runtime systems
Operating system support for GPU/manycore processors and heterogeneity
Approaches and tools for program analysis, profiling and debugging
Rethinking algorithms and data structures for parallel computing
Core algorithms and data structures: sorting, hash tables, etc.
Graph algorithms
Numerical algorithms and data structures
Heterogeneous computing with a primary focus toward GPUs/manycore processors
Compilation for heterogeneous applications
Runtime support for heterogeneous applications
Applications that effectively use heterogeneous resources
Cross-platform solutions
Languages and runtime systems (OpenCL, Ocelot, PyOpenCL, etc)
Performance evaluation and comparisons
Computer architecture for commodity parallel computing
Parallel system simulators and predictive models
Microarchitecture
Memory system architecture
System interconnect
Fault tolerance and reliable computing
Computational physics and chemistry
molecular physics, quantum chemistry
condensed-matter physics, fluid dynamics and material science
earth sciences, climate and weather modeling
astrophysics and cosmology
Life sciences & computational biology
bioinformatics, protein folding
neuroscience
biomedical imaging
Engineering simulation & design
optimization
electronic design automation
product development
Statistical modeling and computational finance
random number generators, Monte Carlo
data analysis and forecasting
Data-intensive applications
machine learning
artificial intelligence
real-time processing
Computer vision
fast graph algorithms
visual saliency, recognition, object detection
Video/image/audio and signal processing
speech recognition
photo-realistic rendering
spectral analysis
visual effects for film and video

Committees: Dates:
General co-chairs:
Amitabh Varshney (University of Maryland)
David Luebke (NVIDIA Research)
Paper co-chairs:
Lorena Barba (Boston University)
John Owens (University of California Davis)
Program co-chairs:
John Stone (University of Illinois)
Hanspeter Pfister (Harvard University)
Steering Committee chair:
Wen-Mei Hwu
Treasurer:
Andrew Schuh (University of Illinois)

Abstract due: June 10
Papers due: June 17
Authors informed of decisions: July 26
Camera-ready papers due: August 16
Conference: October 10-11

Proceedings: InPar is a highly selective, peer-reviewed, and archival publication venue. Due to the diverse, multi-disciplinary nature of this conference, some authors may be unfamiliar with publication traditions that are customary in computer science but uncommon in other fields. We are currently working towards ACM sponsorship of this conference. After approval, the papers will be published via the ACM International Conference Proceedings Series and will appear in the ACM Digital Library, will receive an ISBN number, etc. The program committee and tertiary reviewers will review, rank, and select only the best papers for presentation at the conference and publication in the proceedings. Authors will receive review reports, but the short publication cycle allows only minor revisions.

The conference website is available at www.innovativeparallel.org.

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