Abstract

Abstract Already today we face architectures featuring up to several hundreds of processors, being able to manage several thousand concurrent threads. Future architectures, however, will not only see an increase in parallelism but also feature an increase in heterogeneity and reconfigurability. Judging from current production and prototype architectures, we also see that such systems will be tiled, i. e., individual cores with local memory interconnected through some means of on-chip communication. Current discussions show that existing approaches to application mapping, parallelization, data locality optimization, and system management do not match these upcoming architectures well, thus rather hampering than harnessing the power of future systems. We will therefore outline the requirements of upcoming architectures and demonstrate how self-organization, including bio-inspired, techniques may help to manage system complexity. Key to these techniques is a sophisticated decentralized, hierarchical monitoring approach suitable for sustained real-time monitoring and event correlation for current and future high-performance architectures.

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