HeteroPar 2011 - Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar'2011)

Networks of computers are the most common and available parallel architecture now. Unlike dedicated parallel computer systems, networks are inherently heterogeneous. They consist of diverse computers of different performances interconnected via heterogeneous network equipment providing communication links with different latencies and bandwidths. Traditional parallel algorithms and tools are aimed at homogeneous multiprocessors and cannot be efficiently used for parallel computing on heterogeneous networks. New ideas, dedicated algorithms and tools are needed to efficiently use this new type of parallel architectures. The workshop is intended to be a forum for people working on algorithms, programming languages, tools, and theoretical models aimed at efficient problem solutions on heterogeneous networks.
The topics to be covered include but are not limited to:
Heterogeneous parallel programming paradigms and models;
Languages, libraries, and interfaces for different heterogeneous parallel programming models;
Performance models and their integration into the design of efficient parallel algorithms for heterogeneous platforms;
Parallel algorithms for heterogeneous and/or hierarchical multi-core systems;
Parallel algorithms for efficient problem solving on heterogeneous platforms (numerical linear algebra, nonlinear systems, fast transforms, computational biology, data mining, multimedia, etc.);
Software engineering for heterogeneous parallel systems;
Applications on heterogeneous platforms;
Integration of parallel and distributed computing on heterogeneous platforms;
Experience of porting parallel software from supercomputers to heterogeneous platforms;
Fault tolerance of parallel computations on heterogeneous platforms;
Algorithms, models and tools for grid, desktop grid, cloud, and green computing.
Authors are encouraged to submit original, unpublished research or overviews on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms, namely addressing the topics referred above.