The computing landscape has undergone significant transformation with the emergence of more powerful processing elements such as GPUs, FPGAs, Cell B.E., multi-cores, etc. On the multi-core front, Moore’s Law has transcended beyond the single processor boundary with the prediction that the number of cores will double every 18 months. Going forward, the primary method of gaining processor performance will be through parallelism. Multi-core technology has visibly penetrated the global market.

Accordingly to the latest Top500 lists the HPC landscape has evolved from supercomputer systems into large clusters of dual or quad-core processors. Furthermore, GPUs, FPGAs and heterogeneous multi-cores have been shown to be formidable computing alternatives, where certain classes of applications witness more than one order of magnitude improvement over their GPP counterpart. Therefore, future computational science centers will employ resources such as FPGAs, GPUs and Cell architectures to serve as co-processors to offload appropriate compute-intensive portions of applications from the servers.



This workshop provides a forum for exploring the capabilities of emerging parallel architectures to accelerate computational science applications. Papers are being sought on a wide variety of topics related to the field of using emerging parallel architectures for computational science including but not limited to:



* Application studies on emerging architectures such as GPUs, FPGAs and Cell B.E.

* Parallel algorithms and methodologies on emerging architectures

* Languages, models, tools, and compilation techniques for emerging architectures

* Hybrid computer systems consisting of a combination of GPUs, FPGAs, etc.

* Use of emerging architectures in clusters, grids and supercomputers