As Multi-Core Architectures (MCA) present a new trend, core parallel processing algorithms will continue to become more important. Furthermore, the wide-scale deployment of computing nodes, clusters, and embedded processors will continue to fuel core parallel processing and distributed systems algorithms. Thus, the importance of MTPP will continue to grow. The field of parallel and distributed computing is going through rapid changes. The emerging multi-core commodity processors and advanced networking technologies are allowing for the design of cost-effective parallel and distributed systems. To achieve scalability and high performance in these systems, it is increasingly becoming challenging to design better architecture, software environments, networking protocols, compilers, operating systems, languages, algorithms and applications for designing next generation scalable and high performance parallel systems. MTPP 2010 addresses these challenges and explores emerging areas such as Web computing, P2P computing, grid computing, embedded computing, runtime systems and new applications. In this symposium, we plan to publish high quality papers, which cover the various theories and practical applications related parallel and distributed computing. The published papers are expected to present the high level results to solve the application services and various problems in the various parallel programming fields. In addition, we expect they will trigger further related research and technology improvements for MCA. The goal of this symposium is to bring together the researchers from academia and industry to share ideas, problems and solutions relating to all aspects of parallel programming. We invite authors to submit papers on any aspect of parallel programming research and practice. All papers will be peer reviewed, and those accepted for the symposium will be included in a proceedings volume published by Springer-Verlag.

PUBLICATION

MTPP-10 papers will be published as post conference proceedings of LNCS series.

(Indexed by EI, DBLP, INSPEC, Thomson)

Topics of interest include, but are not limited to:

-Multicore processors programming

-Languages and systems for parallel programming multicomputers

-Methods and tools for the development of large scale numerical models

and large scale simulation

-Fine grain computation (CNN, etc.)

-Multicore algorithms and software implementations

-Software environments, programming frameworks and language/compiler support

-Parallel and distributed algorithms

-Resource management, scheduling and load-balancing

-Support for Self-Managing/Self-Configuring Grid Infrastructure

-Utility Computing Models for Clusters and Grids

-Hardware/software partitioning, co-design and co-verification

-New trends and models in Parallel Programming

-Performance measurement and analysis in parallel systems

-Cluster computing

-High performance computing

-Grid computing

-Cloud computing

-Peer-to-peer computing

-Grid and pervasive related applications

-GPU technologies and applications