Understanding Congestion in High Performance Interconnection Networks Using Sampling
dc.contributor.advisor | Mellor-Crummey, John M | en_US |
dc.creator | Taffet, Philip Adam | en_US |
dc.date.accessioned | 2018-11-26T18:01:00Z | en_US |
dc.date.available | 2018-11-26T18:01:00Z | en_US |
dc.date.created | 2018-05 | en_US |
dc.date.issued | 2018-04-30 | en_US |
dc.date.submitted | May 2018 | en_US |
dc.date.updated | 2018-11-26T18:01:01Z | en_US |
dc.description.abstract | The computational needs of many applications outstrip the capabilities of a single compute node. Communication is necessary to employ multiple nodes, but slow communication often limits application performance on multiple nodes. To improve communication performance, developers need tools that enable them to understand how their application’s communication patterns interact with the network, especially when those interactions result in congestion. Since communication performance is difficult to reason about analytically and simulation is costly, measurement-based approaches are needed. This thesis describes a new sampling-based technique to collect information about the path a packet takes and congestion it encounters. Experiments with simulations show that this strategy can distinguish problems with an application's communication patterns, its mapping onto a parallel system, and outside interference. We describe a variant of this scheme that requires only 5-6 bits of information in a monitored packet, making it practical for use in next-generation networks. | en_US |
dc.format.mimetype | application/pdf | en_US |
dc.identifier.citation | Taffet, Philip Adam. "Understanding Congestion in High Performance Interconnection Networks Using Sampling." (2018) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/103413">https://hdl.handle.net/1911/103413</a>. | en_US |
dc.identifier.doi | https://doi.org/10.25611/0pec-yd57 | en_US |
dc.identifier.uri | https://hdl.handle.net/1911/103413 | en_US |
dc.language.iso | eng | en_US |
dc.rights | Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder. | en_US |
dc.subject | network congestion | en_US |
dc.subject | reservoir sampling | en_US |
dc.subject | probabilistic | en_US |
dc.subject | high performance computing | en_US |
dc.subject | network simulation | en_US |
dc.subject | InfiniBand | en_US |
dc.subject | interconnection networks | en_US |
dc.subject | communication performance | en_US |
dc.subject | Omni-Path | en_US |
dc.subject | MPI | en_US |
dc.title | Understanding Congestion in High Performance Interconnection Networks Using Sampling | en_US |
dc.type | Thesis | en_US |
dc.type.material | Text | en_US |
thesis.degree.department | Computer Science | en_US |
thesis.degree.discipline | Engineering | en_US |
thesis.degree.grantor | Rice University | en_US |
thesis.degree.level | Masters | en_US |
thesis.degree.major | High Performance Computing | en_US |
thesis.degree.name | Master of Science | en_US |
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