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Modeling energy consumption of parallel applications
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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.3719openalex-snapshot
KernelHive: a new workflow‐based framework for multilevel high performance computing using clusters and workstations with CPUs and GPUs
inferredcites →https://doi.org/10.1007/978-3-319-10214-6openalex-snapshot
High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation
inferredcites →https://doi.org/10.1007/978-3-319-10214-6_12openalex-snapshot
Multi Objective Optimization of HPC Kernels for Performance, Power, and Energy
inferredcites →https://doi.org/10.1007/978-3-319-12631-9_10openalex-snapshot
Efficient and Scalable Pareto Front Generation for Energy and Makespan in Heterogeneous Computing Systems
inferredcites →https://doi.org/10.1007/978-3-319-32152-3_19openalex-snapshot
Performance and Power-Aware Modeling of MPI Applications for Cluster Computing
inferredcites →https://doi.org/10.1007/978-3-319-32152-3_7openalex-snapshot
Considerations of Computational Efficiency in Volunteer and Cluster Computing
inferredcites →https://doi.org/10.1007/978-3-642-29740-3_21openalex-snapshot
Auto-tuning for Energy Usage in Scientific Applications
inferredcites →https://doi.org/10.1007/978-3-642-45249-9_5openalex-snapshot
Optimization of Execution Time under Power Consumption Constraints in a Heterogeneous Parallel System with GPUs and CPUs
inferredcites →https://doi.org/10.1007/s11227-013-0914-yopenalex-snapshot
Modeling energy consumption for master–slave applications
inferredcites →https://doi.org/10.1109/cybconf.2015.7175980openalex-snapshot
Simulation of parallel similarity measure computations for large data sets
inferredcites →https://doi.org/10.1109/icpp.2007.39openalex-snapshot
Energy-Efficient Scheduling for Parallel Applications Running on Heterogeneous Clusters
inferredcites →https://doi.org/10.1109/ipdpsw.2012.121openalex-snapshot
Modeling Power and Energy Usage of HPC Kernels
inferredcites →https://doi.org/10.1109/mc.2007.443openalex-snapshot
The Case for Energy-Proportional Computing
inferredcites →https://doi.org/10.1109/tpds.2012.95openalex-snapshot
Strategies for Energy-Efficient Resource Management of Hybrid Programming Models
inferredcites →https://doi.org/10.1177/1094342011414749openalex-snapshot
Energy and performance characteristics of different parallel implementations of scientific applications on multicore systems
inferredcites →https://doi.org/10.14529/jsfi140202openalex-snapshot
Predicting the Energy and Power Consumption of Strong and Weak Scaling HPC Applications
inferredcites →https://doi.org/10.14569/ijacsa.2015.060635openalex-snapshot
Energy consumption model over parallel programs implemented on multicore architectures
inferredcites →https://doi.org/10.48550/arxiv.1505.06539openalex-snapshot
Towards Modeling Energy Consumption of Xeon Phi
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/spe.3139openalex-snapshot
DEPO: A dynamic energy‐performance optimizer tool for automatic power capping for energy efficient high‐performance computing
inferred← citeshttps://doi.org/10.1007/978-3-319-67220-5_27openalex-snapshot
Parallelization of Selected Algorithms on Multi-core CPUs, a Cluster and in a Hybrid CPU+Xeon Phi Environment
inferred← citeshttps://doi.org/10.1007/s11227-017-2159-7openalex-snapshot
Parallelization of large vector similarity computations in a hybrid CPU+GPU environment
inferred← citeshttps://doi.org/10.1016/j.procs.2017.05.214openalex-snapshot
Modeling and Simulation for Exploring Power/Time Trade-off of Parallel Deep Neural Network Training
inferred← citeshttps://doi.org/10.1016/j.simpat.2017.05.009openalex-snapshot
MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems
inferred← citeshttps://doi.org/10.1109/hpcs48598.2019.9188149openalex-snapshot
Extended investigation of performance-energy trade-offs under power capping in HPC environments
inferred← citeshttps://doi.org/10.12694/issn.1895-1767openalex-snapshot
Scalable Computing: Practice and Experience
inferred← citeshttps://doi.org/10.12694/scpe.v19i4.1439openalex-snapshot
Modelling and simulation of GPU processing in the MERPSYS environment
inferred← citeshttps://doi.org/10.15439/2018f177openalex-snapshot
Analyzing energy/performance trade-offs with power capping for parallel applications on modern multi and many core processors
inferred← citeshttps://doi.org/10.26089/nummet.v26r439openalex-snapshot
Исследование масштабируемости параллельного алгоритма численного моделирования удержания плазмы в открытых магнитных ловушках методами имитационного моделирования
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