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Analyzing Network Health and Congestion in Dragonfly-Based Supercomputers
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-44863-2_55openalex-snapshot
Performance Variability of Highly Parallel Architectures
inferredcites →https://doi.org/10.1103/physrevd.61.111502openalex-snapshot
Scaling tests of the improved Kogut-Susskind quark action
inferredcites →https://doi.org/10.1109/cluster.2014.6968670openalex-snapshot
Demonstrating improved application performance using dynamic monitoring and task mapping
inferredcites →https://doi.org/10.1109/hpcmp-ugc.2009.72openalex-snapshot
Measuring and Understanding Variation in Benchmark Performance
inferredcites →https://doi.org/10.1109/iiswc.2005.1526010openalex-snapshot
Understanding the causes of performance variability in HPC workloads
inferredcites →https://doi.org/10.1109/ipdps.2007.370235openalex-snapshot
Simulating Red Storm: Challenges and Successes in Building a System Simulation
inferredcites →https://doi.org/10.1109/lcn.2003.1243180openalex-snapshot
Exploring the relationship between parallel application run-time variability and network performance in clusters
inferredcites →https://doi.org/10.1109/sc.2012.39openalex-snapshot
Cray Cascade: A scalable HPC system based on a Dragonfly network
inferredcites →https://doi.org/10.1109/sc.2014.33openalex-snapshot
Maximizing Throughput on a Dragonfly Network
inferredcites →https://doi.org/10.1145/1394608.1382129openalex-snapshot
Technology-Driven, Highly-Scalable Dragonfly Topology
inferredcites →https://doi.org/10.1145/1995896.1995909openalex-snapshot
Generic topology mapping strategies for large-scale parallel architectures
inferredcites →https://doi.org/10.1145/2063384.2063486openalex-snapshot
Avoiding hot-spots on two-level direct networks
inferredcites →https://doi.org/10.1145/2503210.2503263openalex-snapshot
Predicting application performance using supervised learning on communication features
inferredcites →https://doi.org/10.5555/2388996.2389136openalex-snapshot
Cray cascade: a scalable HPC system based on a Dragonfly network
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Understanding the Scalability of Molecular Simulation Using Empirical Performance Modeling
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Design Space Exploration of the Dragonfly Topology
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Ramanujan graphs and the spectral gap of supercomputing topologies
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Optical interconnection networks for high-performance systems
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Using spanners to improve network performance
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Study of interconnect errors, network congestion, and applications characteristics for throttle prediction on a large scale HPC system
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2-edge-Hamilton-connected dragonfly network
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Prediction of the impact of network switch utilization on application performance via active measurement
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APHiD: Hierarchical Task Placement to Enable a Tapered Fat Tree Topology for Lower Power and Cost in HPC Networks
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Visual Analytics Techniques for Exploring the Design Space of Large-Scale High-Radix Networks
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Understanding Performance Variability on the Aries Dragonfly Network
inferred← citeshttps://doi.org/10.1109/hipineb.2017.14openalex-snapshot
New Link Arrangements for Dragonfly Networks
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A Fast and Scalable Cluster Simulator for Network Performance Projection of HPC Applications
inferred← citeshttps://doi.org/10.1109/ipdps.2018.00120openalex-snapshot
Trade-Off Study of Localizing Communication and Balancing Network Traffic on a Dragonfly System
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Level-Spread: A New Job Allocation Policy for Dragonfly Networks
inferred← citeshttps://doi.org/10.1109/ipdps49936.2021.00042openalex-snapshot
Performance Evaluation of Adaptive Routing on Dragonfly-based Production Systems
inferred← citeshttps://doi.org/10.1109/ipdps53621.2022.00105openalex-snapshot
SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks
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A Visual Analytics Framework for Reviewing Streaming Performance Data
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A Generalized Statistics-Based Model for Predicting Network-Induced Variability
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In Situ Visualization of Performance Metrics in Multiple Domains
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Flexfly: Enabling a Reconfigurable Dragonfly through Silicon Photonics
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Watch Out for the Bully! Job Interference Study on Dragonfly Network
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Topology-Aware Space-Shared Co-Analysis of Large-Scale Molecular Dynamics Simulations
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Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study
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Interactive Investigation of Traffic Congestion on Fat‐Tree Networks Using T ree S cope
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Scalable In situ Analysis of Molecular Dynamics Simulations
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Mitigating network noise on Dragonfly networks through application-aware routing
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The Effect of System Utilization on Application Performance Variability
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Performance Analysis of Overcoming Far-end Congestion in Large-Scale Networks
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Flexfly: enabling a reconfigurable dragonfly through silicon photonics
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Watch out for the bully!: job interference study on dragonfly network
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