Workshop on Large-Scale Parallel Processing, Phoenix, Vereinigte Staaten

Abbrevation

LSPP

Link

http://hpc.pnl.gov/conf/LSPP/

City

Phoenix

Country

United States

Deadline Paper

2014-01-21

Start Date

2014-05-23

End Date

2014-05-23

Abstract

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 of processors in memory (PIMS), parallelism in emerging technologies, future trends. – MULTI–CORE : utilization of increased parallelism on a single chip (MPP on a chip such as the Cell and GPUs), the possible integration of these into large–scale systems, and dealing with the resulting hierarchical connectivity. – 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. – 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. – WAREHOUSE COMPUTING: dealing with the issues in advanced datacenters that are increasingly moving from co–locating many servers to having a large number of servers working cohesively, impact of both software and hardware designs and optimizations to achieve best cost–performance efficiency. 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.