IA3 Workshop on Irregular Applications: Architectures & Algorithms
Sunday, November 16, 2014
Colorado Convention Center
New Orleans, LA USA
To be held in conjunction with:
To be held in cooperation with:
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)
- 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
- 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.
Submission site: https://www.easychair.org/conferences/?conf=ia32014
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, so authors can use the ACM official templates, to simplify the editing process.
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.
- Abstract submission: 5 September 2014 Extended!
- Full or position paper submission: 5 September 2014 Extended!
- Camera-ready papers: 10 October 2014
- Workshop: 16 November 2014
- Antonino Tumeo, Pacific Northwest National Laboratory (email@example.com)
- John Feo, Pacific Northwest National Laboratory (firstname.lastname@example.org)
- Oreste Villa, NVIDIA (email@example.com)
- Keren Bergman, Columbia University, USA
- Jay Brockman, University of Notre Dame, USA
- David Brooks, Harvard University, USA
- Bryan Catanzaro, NVIDIA, USA
- Daniel Chavarria, Pacific Northwest National Laboratory, USA
- Srini Devadas, Massachusetts Institute of Technology, USA
- Georgi Gaydadjiev, Chalmers University, SWE
- Maya Gokhale, Lawrence Livermore National Laboratory, USA
- Martha Kim, Columbia University, USA
- John Leidel, Texas Tech University, USA
- Kamesh Madduri, The Pennsylvania State University, USA
- Alessandro Morari, Pacific Northwest National Laboratory, USA
- Timothy Mattson, Intel, USA
- Richard Murphy, Micron Technology, Inc., USA
- Walid Najjar, University of California Riverside, USA
- Kunle Olukotun, Stanford University, USA
- Gianluca Palermo, Politecnico di Milano, ITA
- Fabrizio Petrini, IBM TJ Watson, USA
- Keshav Pingali, University of Texas, Austin, USA
- Vivek Sarkar, Rice University, USA
- Erik Saule, University of North Carolina at Charlotte, USA
- John Shalf, Lawrence Berkeley National Laboratory, USA
- Simone Secchi, ARM, UK
- Michela Taufer, University of Delaware, USA
- Pedro Trancoso, University of Cyprus, CYP
- Mateo Valero, Barcelona Supercomputing Center, SPA