Workshop on Large-Scale Parallel Processing
to be held at the
IEEE International Parallel and Distributed Processing Symposium
May 23rd - 27th, 2016
The workshop on Large-Scale Parallel Processing is a forum that focuses on computer systems that utilize thousands of processors and beyond. Large-scale systems, referred to by some as extreme-scale and Ultra-scale, have many important research aspects that need detailed examination in order for their effective design, deployment, and utilization to take place. These include handling the substantial increase in multi-core on a chip, the ensuing interconnection hierarchy, communication, and synchronization mechanisms. Increasingly this is becoming an issue of co-design involving performance, power and reliability aspects. The workshop aims to bring together researchers from different communities working on challenging problems in this area for a dynamic exchange of ideas. Work at early stages of development as well as work that has been demonstrated in practice is equally welcome.
Of particular interest are papers that identify and analyze novel ideas rather than providing incremental advances in the following areas:
Large-scale systems: exploiting parallelism at large-scale, the coordination of large numbers of processing elements, synchronization and communication at large-scale, programming models and productivity
Novel architectures and experimental systems : the design of novel systems, the use emerging technologies such as Non-Volatile Memory, Silicon Photonics, application-specific accelerators and future trends.
Monitoring, Analysis, and Modeling: tools and techniques for gathering performance, power, thermal, reliability, and other data from existing large scale systems, analyzing such data offline or in real time for system tuning, and modeling of similar factors in projected system installations.
Multi-core: utilization of increased parallelism on a single chip, the possible integration of these into large-scale systems, and dealing with the resulting hierarchical connectivity.
Energy Management: Techniques, strategies, and experiences relating to the energy management and optimization of large-scale systems.
Applications: novel algorithmic and application methods, experiences in the design and use of applications that scale to large-scales, overcoming of limitations, performance analysis and insights gained.
Results of both theoretical and practical significance will be considered, as well as work that has demonstrated impact at small-scale that will also affect large-scale systems. Work may involve algorithms, languages, various types of models, or hardware. A list of papers presented at previous LSPP workshops can be found here.
|In previous years selected work presented at the workshop has been published in a special issue of Parallel Processing Letters. Special issues of Parallel Processing Letters from LSPP workshops previously appeared in 2014, 2013, 2011, 2010, 2009 and 2008.|
Papers should not exceed ten single-space pages (including figures, tables and references) using a 12-point on 8½x11-inch pages. Submissions in PostScript or PDF should be made using EasyChair. Informal enquiries can be made to Kevin Barker. Submissions will be judged on correctness, originality, technical strength, significance, presentation quality and appropriateness. Submitted papers should not have appeared in or under consideration for another venue.
|Submission opens:||October 30th 2015|
|Papers due:||Extended January 28th 2016|
|Notification of acceptance:||Februrary 14th 2016|
|Camera-Ready Papers due:||February 26th 2016|
|Kevin J. Barker||Pacific Northwest National Laboratory|
|Eric van Hensbergen||ARM|
|Darren J. Kerbyson||Pacific Northwest National Laboratory|
|Ram Rajamony||IBM Austin Research Lab|
|H.J. Siegel||Colorado State University|
|Charles Weems||University of Massachusetts|
Workshop General Chair and point of contact: Kevin J. Barker