HIPER-DHigh-Performance Distributed
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They propose state-of-the-art algorithms that are designed to be used in a variety of applications and libraries, covering parallel and distributed Java for heterogeneous systems, the optimization of dense linear algebra algorithms on heterogeneous machines, distributed process networks with COBRA, parallel adaptive mesh refinement with load balancing in a heterogeneous cluster, evaluation of DIET hierarchical metacomputing architecture, and utilization-based techniques for strategically mapping heterogeneous applications into the HiPer-D heterogeneous computing system.