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020 _a9783030905392
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024 7 _a10.1007/978-3-030-90539-2
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050 4 _aTK7885-7895
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072 7 _aCOM067000
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082 0 4 _a621.39
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245 1 0 _aHigh Performance Computing
_h[electronic resource] :
_bISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24 - July 2, 2021, Revised Selected Papers /
_cedited by Heike Jagode, Hartwig Anzt, Hatem Ltaief, Piotr Luszczek.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXIII, 515 p. 199 illus., 174 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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_2rdacarrier
347 _atext file
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490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v12761
505 0 _aSecond International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics and Solid Mechanics Simulations and Analysis -- Machine-Learning-Based Control of Perturbed and Heated Channel Flows -- Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows -- Lettuce: PyTorch-based Lattice Boltzmann Framework -- Reservoir computing in reduced order modeling for chaotic dynamical systems -- Film cooling prediction and optimization based on deconvolution neural network -- Turbomachinery Blade Surrogate Modeling using Deep Learning -- A Data-driven Wall-shear Stress Model for LES using Gradient Boosted Decision Trees -- Nonlinear mode decomposition and reduced-order modeling for three-dimensional cylinder flow by distributed learning on Fugaku -- Using physics-informed enhanced super-resolution generative adversarial networks to reconstruct mixture fraction statistics of turbulent jet flows -- HPC I/O in the Data Center -- Toward a Workflow for Identifying Jobs with Similar I/O Behavior Utilizing Time Series Analysis -- H3: An Application-Level, Low-Overhead Object Store -- Compiler-assisted Correctness Checking and Performance Optimization for HPC -- Automatic partitioning of MPI operations in MPI+OpenMP applications -- heimdallr: Improving Compile Time Correctness Checking for Message Passing with Rust -- Potential of Interpreter Specialization for Data Analysis -- Refactoring for Performance with Semantic Patching: Case Study with Recipes -- Negative Perceptions About the Applicability of Source-to-Source Compilers in HPC: A Literature Review -- Machine Learning on HPC Systems -- Automatic Tuning of Tensorflow's CPU Backend using Gradient-Free Optimization Algorithms -- MSM: Multi-Stage Multicuts for Scalable Image Clustering -- OmniOpt - a tool for hyperparameter optimization on HPC -- Parallel/distributed intelligent hyperparameters search for GANs -- Machine learning for generic energy models of high performance computing resources -- Fourth International Workshop on Interoperability of Supercomputing and Cloud Technologies -- Automation for Data-Driven Research with the NERSC Superfacility API -- A Middleware Supporting Data Movement inComplex and Software-Defined Storage andMemory Architectures -- Second International Workshop on Monitoring and Operational Data Analytics -- An Operational Data Collecting and Monitoring Platform for Fugaku: System Overviews and Case Studies in the Prelaunch Service Period -- An Explainable Model for Fault Detection in HPC Systems -- Sixteenth Workshop on Virtualization in High­-Performance Cloud Computing -- A Scalable Cloud Deployment Architecture for High-Performance Real-Time Online Interactive Applications -- Leveraging HW approximation for exploiting performance-energy trade-offs within the edge-cloud computing continuum -- Datashim and its applications in Bioinformatics -- FaaS and Curious: Performance implications of serverless functionson edge computing platforms -- Differentiated performance in NoSQL database access for hybrid Cloud-HPC workloads -- Deep Learning on Supercomputers -- JUWELS Booster - A Supercomputer for Large-Scale AI Research -- Fifth International Workshop on In Situ Visualization -- In Situ Visualization of WRF Data using Universal Data Junction -- Catalyst Revised: Rethinking the ParaView In Situ Analysis and Visualization API -- Fides: A General Purpose Data Model Library for Streaming Data.-Including in-situ visualization and analysis in PDI.-.
520 _aChapter "Machine-Learning-Based Control of Perturbed and Heated Channel Flows" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 0 _aLogic design.
_93686
650 0 _aMicroprocessors.
_9121324
650 0 _aComputer architecture.
_93513
650 0 _aArtificial intelligence.
_93407
650 0 _aApplication software.
_9121325
650 1 4 _aComputer Engineering and Networks.
_9121326
650 2 4 _aLogic Design.
_93686
650 2 4 _aProcessor Architectures.
_9121327
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer and Information Systems Applications.
_9121328
700 1 _aJagode, Heike.
_eeditor.
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_9121329
700 1 _aAnzt, Hartwig.
_eeditor.
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_9121330
700 1 _aLtaief, Hatem.
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_9121331
700 1 _aLuszczek, Piotr.
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_4http://id.loc.gov/vocabulary/relators/edt
_9121332
710 2 _aSpringerLink (Online service)
_9121333
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030905385
776 0 8 _iPrinted edition:
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830 0 _aTheoretical Computer Science and General Issues,
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_9121334
856 4 0 _uhttps://doi.org/10.1007/978-3-030-90539-2
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