Abstract
Future exascale systems are expected to have significantly reduced network bandwidth relative to computational performance than current systems. Clearly, this will impact bandwidth-intensive applications, so it is important to gain insight into the magnitude of the negative impact on performance and scalability to help identify mitigation strategies. In this paper, we show how current systems can be configured to emulate the expected imbalance of future systems. We demonstrate this approach by reducing the network injection bandwidth performance of a 160-node, 1920-core Cray XT5 system and analyze the performance and scalability of a suite of MPI benchmarks and applications.
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Pedretti, K.T., Brightwell, R., Doerfler, D., Hemmert, K.S., Laros, J.H. (2011). The Impact of Injection Bandwidth Performance on Application Scalability. In: Cotronis, Y., Danalis, A., Nikolopoulos, D.S., Dongarra, J. (eds) Recent Advances in the Message Passing Interface. EuroMPI 2011. Lecture Notes in Computer Science, vol 6960. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24449-0_27
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DOI: https://doi.org/10.1007/978-3-642-24449-0_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24448-3
Online ISBN: 978-3-642-24449-0
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