@MISC{_architectureaware, author = {}, title = {Architecture Aware Partitioning Algorithms *}, year = {} }
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Abstract
Abstract Existing partitioning algorithms provide limited support for load balancing simulations thatare performed on heterogeneous parallel computing platforms. On such architectures, effective load balancing can only be achieved if the graph is distributed so that it properly takes intoaccount the available resources (CPU speed, network bandwidth). With heterogeneous technologies becoming more popular, the need for suitable graph partitioning algorithms is criti-cal. We developed such algorithms that can address the partitioning requirements of scientific computations, and can correctly model the architectural characteristics of emerging hardwareplatforms.