computation models

Optimization of data parallel applications for heterogeneous and hierarchical HPC platforms based on multicores and multi-GPUs

This talk will focus on methods for finding the optimal configuration of data parallel applications on clusters of heterogeneous nodes based on multicores and multi-GPUs. The methods assume that the optimized kernels for local computations on GPUs and multicore CPUs are available. The methods represent the target platform as a hierarchical cluster of abstract heterogeneous uniprocessors, each representing a group of tightly coupled computing devices relatively independent of other such groups.

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