JSSPP 2013 - Workshop on Job Scheduling Strategies for Parallel Processing

The JSSPP workshop addresses scheduling aspects of parallel processing and has been ranking repeatedly in the top 10% of Citeseer's venue impact ranking. With the advance of Cloud computing and new processor paradigms such as multi-core systems and reconfigurable architectures, this topic has grown in relevance and scope, significantly extending the traditional supercomputer and cluster platforms. This year, the focus of JSSPP is on new results that discuss the application of parallel scheduling methods on new platforms and paradigms. To this end, JSSPP particularly solicits papers that belong to any of the following themes although papers on other themes that are relevant in the context of JSSPP are welcome as well:
Design of and experience with parallel scheduling approaches for production systems
Performance evaluation of parallel scheduling approaches including methodology, benchmarks and metrics.
Workloads on parallel processing systems including characterization, classification, and modeling.
Consideration of additional constraints in parallel scheduling systems, like job priorities, accounting, load estimation, quality of service guarantees
Interaction between parallel schedulers on different levels, like processor, and single- and multi-owner systems.
Impact of parallel scheduling strategies on application performance, user friendliness, cost efficiency, and energy efficiency.