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Auto-tuning Performance of MPI Parallel Programs Using Resource Management in Container-Based Virtual Cloud
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.4330030502openalex-snapshot
Performance of dynamic load balancing algorithms for unstructured mesh calculations
inferredcites →https://doi.org/10.1007/978-3-540-74466-5_17openalex-snapshot
Detecting Application Load Imbalance on High End Massively Parallel Systems
inferredcites →https://doi.org/10.1016/0020-0190(92)90226-lopenalex-snapshot
On the equal-subset-sum problem
inferredcites →https://doi.org/10.1109/ccgrid.2013.65openalex-snapshot
Improving HPC Application Performance in Cloud through Dynamic Load Balancing
inferredcites →https://doi.org/10.1109/cloud.2013.41openalex-snapshot
CAP3: A Cloud Auto-Provisioning Framework for Parallel Processing Using On-Demand and Spot Instances
inferredcites →https://doi.org/10.1109/cluster.2015.70openalex-snapshot
Detecting Thread-Safety Violations in Hybrid OpenMP/MPI Programs
inferredcites →https://doi.org/10.1109/icpp.2004.1327921openalex-snapshot
Dynamic load balancing of MPI+OpenMP applications
inferredcites →https://doi.org/10.1109/icpp.2013.63openalex-snapshot
Symbolic Analysis of Concurrency Errors in OpenMP Programs
inferredcites →https://doi.org/10.1109/services.2011.90openalex-snapshot
Rapid 3D Seismic Source Inversion Using Windows Azure and Amazon EC2
inferredcites →https://doi.org/10.1145/1122971.1122976openalex-snapshot
Performance evaluation of adaptive MPI
inferredcites →https://doi.org/10.1145/1810085.1810105openalex-snapshot
An experimental approach to performance measurement of heterogeneous parallel applications using CUDA
inferredcites →https://doi.org/10.1145/2723872.2723882openalex-snapshot
An introduction to Docker for reproducible research
inferredcites →https://doi.org/10.18130/v36t9vopenalex-snapshot
Software Tamper Resistance: Obstructing Static Analysis of Programs
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10723-018-09471-xopenalex-snapshot
A Survey on Global Management View: Toward Combining System Monitoring, Resource Management, and Load Prediction
inferred← citeshttps://doi.org/10.1007/s11227-018-2679-9openalex-snapshot
Toward holistic performance management in clouds: taxonomy, challenges and opportunities
inferred← citeshttps://doi.org/10.1007/s11227-022-04848-yopenalex-snapshot
Containers in HPC: a survey
inferred← citeshttps://doi.org/10.1007/s11704-018-7172-3openalex-snapshot
SLA-driven container consolidation with usage prediction for green cloud computing
inferred← citeshttps://doi.org/10.1109/cloud55607.2022.00034openalex-snapshot
Radio: Reconciling Disk I/O Interference in a Para-virtualized Cloud
inferred← citeshttps://doi.org/10.1109/cluster52292.2023.00012openalex-snapshot
SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments
inferred← citeshttps://doi.org/10.1109/tcc.2020.2985372openalex-snapshot
Guaranteeing Performance SLAs of Cloud Applications Under Resource Storms
inferred← citeshttps://doi.org/10.1145/3190507openalex-snapshot
A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems
inferred← citeshttps://doi.org/10.19101/ijatee.2023.10102431openalex-snapshot
A systematic review on recent methods of scheduling and load balancing for containers in distributed environments
inferred← citeshttps://doi.org/10.3233/web-210474openalex-snapshot
A comprehensive survey on container resource allocation approaches in cloud computing: State-of-the-art and research challenges
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