Multi- and many-core microprocessors are being deployed in a broad spectrum of applications including Clusters, Clouds and Grids. Both conventional multi- and many-core processors, such as Intel Nehalem and IBM Power7 processors, and unconventional many-core processors, such as NVIDIA Tesla and AMD FireStream GPUs, hold the promise of increasing performance through parallelism. However, GPU approaches in parallelism are distinctly different from those of conventional multi- and many-core processors, which raises new challenges: For example, how do we optimize applications for conventional multi- and many-core processors? How do we reengineer applications to take advantage of GPUs’ tremendous computing power in a reasonable cost-benefit ratio? What are effective ways of using GPUs as accelerators? The goals of this workshop are to discuss these and other issues and bring together developers of application algorithms and experts in utilizing multi- and many-core processors. Accepted papers will be published in the CCGRID proceedings. Selected papers will be published in a special issue of the Journal Concurrency and Computation: Practice and Experience.

Topics of interests include (but not limited to):

• programming languages and models
• innovative algorithms
• data-intensive applications
• optimization and debugging tools
• Clouds, Grids and Clusters of many-core processors
• system software
• compiler technologies
• runtime systems
• operating systems
• workload characterization
• performance modeling and evaluation
• homogenous and heterogeneous many-core architectures
• many-core as accelerators
• interconnection networks
• many-core embedded systems
• simulation of many-core systems
• design space exploration
• resource usage optimization

For more information, important dates, submission instructions and the program committee, please refer to the workshop website http://salsahpc.indiana.edu/FGMMS2010/.