Improving Communication Throughput by Multipath Load Balancing on Blue Gene/Q

Bui, Huy; Malakar, Preeti; Vishwanath, Venkatram; Munson, Todd; Jung, Eun-Sung; Johnson, Andrew; Papka, Michael E.; Leigh, Jason

doi:10.1109/hipc.2015.44

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2017

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Cited by 2 publications

(2 citation statements)

References 16 publications

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“…Then the network load on the routes is balanced by an index by each backbone node to distribute the data traffic equally on the links from source to destination. By simulation results, we have shown that proposed technique reduces the network load [24–29].…”

Section: Discussionmentioning

confidence: 99%

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Ant based multipath backbone routing for load balancing in MANET

Selvi

Manikandan²

2017

IET Communications

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Section: Discussionmentioning

confidence: 99%

“…A multipath‐based reliable routing protocol on MANETs namely MRFR proposed earlier was extended by taking load balancing in routing process of real‐time reliable communication in MANETs. However the end to end delay is increased [27].…”

Section: Literature Reviewmentioning

confidence: 99%

Ant based multipath backbone routing for load balancing in MANET

Selvi

Manikandan²

2017

IET Communications

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A Visual Analytics System for Optimizing Communications in Massively Parallel Applications

Fujiwara

Malakar

Reda

et al. 2017

2017 IEEE Conference on Visual Analytics Science and Technology (VAST)

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Current and future supercomputers have tens of thousands of compute nodes interconnected with high-dimensional networks and complex network topologies for improved performance. Application developers are required to write scalable parallel programs in order to achieve high throughput on these machines. Application performance is largely determined by efficient inter-process communication. A common way to analyze and optimize performance is through profiling parallel codes to identify communication bottlenecks. However, understanding gigabytes of profile data is not a trivial task. In this paper, we present a visual analytics system for identifying the scalability bottlenecks and improving the communication efficiency of massively parallel applications. Visualization methods used in this system are designed to comprehend large-scale and varied communication patterns on thousands of nodes in complex networks such as the 5D torus and the dragonfly. We also present efficient rerouting and remapping algorithms that can be coupled with our interactive visual analytics design for performance optimization. We demonstrate the utility of our system with several case studies using three benchmark applications on two leading supercomputers. The mapping suggestion from our system led to 38% improvement in hop-bytes for MiniAMR application on 4,096 MPI processes.

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Improving Communication Throughput by Multipath Load Balancing on Blue Gene/Q

Cited by 2 publications

References 16 publications

Ant based multipath backbone routing for load balancing in MANET

Ant based multipath backbone routing for load balancing in MANET

A Visual Analytics System for Optimizing Communications in Massively Parallel Applications

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