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Towards Understanding Job Heterogeneity in HPC: A NERSC Case Study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11407522_1openalex-snapshot
Parallel Job Scheduling — A Status Report
inferredcites →https://doi.org/10.1007/3-540-60153-8_35openalex-snapshot
The ANL/IBM SP scheduling system
inferredcites →https://doi.org/10.1016/j.future.2008.02.003openalex-snapshot
The Grid Workloads Archive
inferredcites →https://doi.org/10.1016/j.future.2011.05.025openalex-snapshot
Adapting scientific computing problems to clouds using MapReduce
inferredcites →https://doi.org/10.1109/ipdps.2011.342openalex-snapshot
Investigating the Impact of the Cielo Cray XE6 Architecture on Scientific Application Codes
inferredcites →https://doi.org/10.1109/mcse.2007.55openalex-snapshot
Matplotlib: A 2D Graphics Environment
inferredcites →https://doi.org/10.1145/1188455.1188464openalex-snapshot
TORQUE---TORQUE resource manager
inferredcites →https://doi.org/10.1145/1773394.1773400openalex-snapshot
Towards characterizing cloud backend workloads
inferredcites →https://doi.org/10.2172/938789openalex-snapshot
NERSC-6 Workload Analysis and Benchmark Selection Process
inferredcites →https://doi.org/10.2307/2346830openalex-snapshot
Algorithm AS 136: A K-Means Clustering Algorithm
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-77398-8_9openalex-snapshot
ScSF: A Scheduling Simulation Framework
inferred← citeshttps://doi.org/10.1007/978-3-319-93698-7_44openalex-snapshot
Workload Characterization and Evolutionary Analyses of Tianhe-1A Supercomputer
inferred← citeshttps://doi.org/10.1007/978-981-13-2423-9_17openalex-snapshot
Quota-constrained Job Submission Behavior at Commercial Supercomputer
inferred← citeshttps://doi.org/10.1016/j.jestch.2018.11.003openalex-snapshot
A novel resource aware scheduling with multi-criteria for heterogeneous computing systems
inferred← citeshttps://doi.org/10.1016/j.jpdc.2017.09.002openalex-snapshot
Towards understanding HPC users and systems: A NERSC case study
inferred← citeshttps://doi.org/10.1016/j.simpat.2019.101932openalex-snapshot
Gravitational search algorithm based novel workflow scheduling for heterogeneous computing systems
inferred← citeshttps://doi.org/10.1109/cluster52292.2023.00021openalex-snapshot
Efficient Intra-Rack Resource Disaggregation for HPC Using Co-Packaged DWDM Photonics
inferred← citeshttps://doi.org/10.1109/hpca53966.2022.00093openalex-snapshot
AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications
inferred← citeshttps://doi.org/10.1109/icca49400.2020.9022849openalex-snapshot
Scheduling Methods in HPC System: Review
inferred← citeshttps://doi.org/10.1109/iiswc53511.2021.00015openalex-snapshot
Quantum Computing in the Cloud: Analyzing job and machine characteristics
inferred← citeshttps://doi.org/10.1109/sc41405.2020.00088openalex-snapshot
Job Characteristics on Large-Scale Systems: Long-Term Analysis, Quantification, and Implications
inferred← citeshttps://doi.org/10.1109/sc41406.2024.00030openalex-snapshot
Toward Sustainable HPC: In-Production Deployment of Incentive-Based Power Efficiency Mechanism on the Fugaku Supercomputer
inferred← citeshttps://doi.org/10.1145/3078597.3078604openalex-snapshot
Enabling Workflow-Aware Scheduling on HPC Systems
inferred← citeshttps://doi.org/10.1145/3451471.3451483openalex-snapshot
User-level Workload Analysis for Supercomputers
inferred← citeshttps://doi.org/10.1145/3514245openalex-snapshot
A Case For Intra-rack Resource Disaggregation in HPC
inferred← citeshttps://doi.org/10.17760/d20412322openalex-snapshot
Toward efficient resource utilization of a GPU-accelerated AI supercomputer
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