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Exascale Operating Systems and Runtime Software Report

https://doi.org/10.2172/1471119
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/services.2007.63openalex-snapshot
Swift: Fast, Reliable, Loosely Coupled Parallel Computation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-319-14325-5_49openalex-snapshot
What Is the Right Balance for Performance and Isolation with Virtualization in HPC?
inferred← citeshttps://doi.org/10.1007/s11227-018-2262-4openalex-snapshot
Non-clairvoyant online scheduling of synchronized jobs on virtual clusters
inferred← citeshttps://doi.org/10.1016/j.jcss.2016.10.009openalex-snapshot
Scheduling of online compute-intensive synchronized jobs on high performance virtual clusters
inferred← citeshttps://doi.org/10.1016/j.jpdc.2016.06.006openalex-snapshot
Exploring performance and energy tradeoffs for irregular applications: A case study on the Tilera many-core architecture
inferred← citeshttps://doi.org/10.1109/ccgrid.2017.60openalex-snapshot
Reducing Load Imbalance of Virtual Clusters via Reconfiguration and Adaptive Job Scheduling
inferred← citeshttps://doi.org/10.1109/hpec.2018.8547577openalex-snapshot
TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines
inferred← citeshttps://doi.org/10.1109/icppw.2016.56openalex-snapshot
Evaluating Online Global Recovery with Fenix Using Application-Aware In-Memory Checkpointing Techniques
inferred← citeshttps://doi.org/10.1109/igsc55832.2022.9969365openalex-snapshot
Energy Aware Scheduler of Single/Multi-Node Jobs Considering CPU Node Heterogeneity
inferred← citeshttps://doi.org/10.1109/msst.2019.00-14openalex-snapshot
Efficient Encoding and Reconstruction of HPC Datasets for Checkpoint/Restart
inferred← citeshttps://doi.org/10.1109/sbac-pad.2014.29openalex-snapshot
Cross-Layer Self-Adaptive/Self-Aware System Software for Exascale Systems
inferred← citeshttps://doi.org/10.1109/sc.2014.78openalex-snapshot
Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales
inferred← citeshttps://doi.org/10.1109/tpds.2015.2430852openalex-snapshot
Exploring the Design Tradeoffs for Extreme-Scale High-Performance Computing System Software
inferred← citeshttps://doi.org/10.1109/tpds.2017.2696538openalex-snapshot
Modeling and Simulating Multiple Failure Masking Enabled by Local Recovery for Stencil-Based Applications at Extreme Scales
inferred← citeshttps://doi.org/10.1109/tpds.2021.3092270openalex-snapshot
Online Power Management for Multi-Cores: A Reinforcement Learning Based Approach
inferred← citeshttps://doi.org/10.1145/2491661.2481427openalex-snapshot
Hobbes
inferred← citeshttps://doi.org/10.1145/2768405.2768413openalex-snapshot
Quantifying Scheduling Challenges for Exascale System Software
inferred← citeshttps://doi.org/10.1145/2807591.2807672openalex-snapshot
Local recovery and failure masking for stencil-based applications at extreme scales
inferred← citeshttps://doi.org/10.1145/3545008.3545047openalex-snapshot
Penelope: Peer-to-peer Power Management
inferred← citeshttps://doi.org/10.1201/9781003471059-3openalex-snapshot
Study of exascale computing: Advancements, challenges, and future directions
inferred← citeshttps://doi.org/10.31390/gradschool_dissertations.5370openalex-snapshot
Adaptive Data Migration in Load-Imbalanced HPC Applications
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