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- W1541382604 abstract "Nowadays scientific endeavor becomes more and more hungry for computational power of the state-of-the-art supercomputers. However the current trend in the performance increase comes along with tremendous increase in power consumption. One of the approaches allowing to overcome the issue is tight coupling of the simplified low-frequency cores into massively parallel system, such as IBM BlueGene/P (BG/P) combining hundreds of thousands cores. In addition to revolutionary system design this scale requires new approaches in application development and performance tuning. In this paper we present a new scalable BG/P tailored design for an automatic performance analysis tool - Periscope. In this work we have elicited and implemented a new design for porting Periscope to BG/P which features optimal system utilization, minimal monitoring intrusion and high scalability." @default.
- W1541382604 created "2016-06-24" @default.
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- W1541382604 date "2012-01-01" @default.
- W1541382604 modified "2023-10-18" @default.
- W1541382604 title "Scalable Automatic Performance Analysis on IBM BlueGene/P Systems" @default.
- W1541382604 cites W1498372445 @default.
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- W1541382604 doi "https://doi.org/10.1007/978-3-642-29740-3_18" @default.
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