High-Level Data Partitioning for Parallel Computing on Heterogeneous Hierarchical HPC Platforms

The current state and foreseeable future of High Performance scientific Computing (HPC) can be described in three words: heterogeneous, parallel and distributed. These three simple words have a great impact on the architecture and design of HPC platforms and the creation and execution of efficient algorithms and programs designed to run on them. As a result of the inherent heterogeneity, parallelism and distribution which promises to continue to pervade scientific computing in the coming years, the issue of data distribution and therefore data partitioning is unavoidable.

Provided by: University College Cork Topic: Data Centers Date Added: Jan 2012 Format: PDF

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