IA^3 2015 - 5th Workshop on Irregular Applications: Architectures and Algorithms

IA^3 2015 - 5th Workshop on Irregular Applications: Architectures and Algorithms
http://hpc.pnl.gov/IA3
Austin, TX
15 November 2015
To be held in conjunction with SC15
To be held in cooperation with SIGHPC
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Call for Papers
Irregular applications span a broad range of applications with unpredictable memory access patterns, control structures, and/or network transfers. They typically use pointer-based data structures such as graphs and trees, often present fine-grained synchronization and communication, and generally operate on very large data sets. They have a significant degree of latent parallelism, which however is difficult to exploit due to their complex behavior. Current high performance architectures rely on data locality and regular computation to tolerate access latencies, and often do not cope well with the requirements of these applications. Furthermore, irregular applications are difficult to scale on current supercomputing machines, due to their limits in fine-grained synchronization and small data transfers.
Irregular applications pertain both to well established and emerging fields, such as social network analysis, bioinformatics, semantic graph databases, bioinformatics, Computer Aided Design (CAD) and computer security. Many of these application areas also process massive sets of unstructured data, which keep growing exponentially. Addressing the issues of irregular applications on current and future architectures will become critical to solve the scientific challenges of the next few years.
This workshop seeks to explore solutions for supporting efficient execution of irregular applications in the form of new features at the level of the micro- and system-architecture, network, languages and libraries, runtimes, compilers, analysis, algorithms. Topics of interest, of both theoretical and practical significance, include but are not limited to:
*Micro- and System-architectures
*Network and memory architectures
*Heterogeneous, custom and emerging architectures (GPUs, FPGAs, multi- and many-cores, processors-in-memory)
*Modeling, simulation and evaluation of architectures
*Innovative algorithmic techniques
*Parallelization techniques and data structures
*Approaches for managing massive unstructured datasets
*Languages and programming models
*Library and runtime support
*Compiler and analysis techniques
*High performance data analytics, including graph databases
Besides regular papers, papers describing work-in-progress or incomplete but sound, innovative ideas related to the workshop theme are also encouraged. We solicit both 8-page regular papers and 4-page position papers.
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Important Dates
Abstract submission: 17 August 2015
Position or full paper submission: 24 August 2015
Notification of acceptance: 2 October 2015
Camera-ready position and full papers: 9 October 2015
Workshop: 15 November 2015
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Submissions
Submission site: https://easychair.org/conferences/?conf=ia32015
All submissions should be in double-column, single-spaced letter format, using 9-point size fonts, with at least one-inch margins on each side.
The proceedings of the workshop will be published in cooperation with ACM SIGHPC.
Submitted manuscripts may not exceed eight pages in length for regular papers and four pages for position papers including figures, tables and references.
For any question, please contact the organizers.
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Organizers
Antonino Tumeo, Pacific Northwest National Laboratory, antonino.tumeo-AT-pnnl.gov
John Feo, Context Relevant, marwick4-AT-aol.com
Oreste Villa, NVIDIA Research, ovilla-AT-nvidia.com
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Program Committee
Scott Beamer, University of California Berkeley, US
David Brooks, Harvard University, US
Vito Giovanni Castellana, Pacific Northwest National Laboratory, US
Georgi Gaydadjiev, Chalmers University, SWE
Maya Gokhale, Lawrence Livermore National Laboratory, US
John Leidel, Texas Tech University, US
Kamesh Madduri, Penn State University, US
Richard Murphy, Micron, US
Onur Mutlu, Carnegie Mellon University, US
Walid Najjar, University of California Riverside, US
Jacob Nelson, University of Washington, US
Kunle Olukotun, Stanford University, US
Timothy Mattson, Intel, US
Gianluca Palermo, Politecnico di Milano, ITA
Fabrizio Petrini, IBM TJ Watson, US
Keshav Pingali, University of Texas Austin, US
Sébastien Rumley, Columbia University, US
Erik Saule, University of Carolina Charlotte, US
John Shalf, Lawrence Berkeley National Laboratory, US
Michela Taufer, University of Delaware, US
Pedro Trancoso, University of Cyprus, CYP