LEADER 01518nam 2200373Ia 450 001 996385283103316 005 20231201223018.0 035 $a(CKB)1000000000609734 035 $a(EEBO)2240908886 035 $a(UnM)9928765600971 035 $a(UnM)99895807 035 $a(EXLCZ)991000000000609734 100 $a19930526d1653 uy | 101 0 $aeng 135 $aurbn#|||a|bb| 200 00$aTo His Excellency the L. Generall Cromwell, and the rest of the Councell of the Army of the Commonwealth of England; the humble and faithfull advice of divers affectionate friends to the Parliament, Army and Commonwealth of England$b[electronic resource] 210 $a[London $cs.n.$d1653?] 215 $a15, [1] p 300 $aCaption title. 300 $aImprint from Wing. 300 $aReproduction of original in the Folger Shakespeare Library, Washington, D.C.. 330 $aeebo-0055 606 $aCivil rights$zEngland$xReligious aspects$vEarly works to 1800 615 0$aCivil rights$xReligious aspects 701 $aCromwell$b Oliver$f1599-1658.$0252808 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bCu-RivES 801 2$bWaOLN 906 $aBOOK 912 $a996385283103316 996 $aTo His Excellency the L. Generall Cromwell, and the rest of the Councell of the Army of the Commonwealth of England; the humble and faithfull advice of divers affectionate friends to the Parliament, Army and Commonwealth of England$93602636 997 $aUNISA LEADER 06168nam 22007335 450 001 9910508459203321 005 20251225173510.0 010 $a3-030-90539-X 024 7 $a10.1007/978-3-030-90539-2 035 $a(MiAaPQ)EBC6803831 035 $a(Au-PeEL)EBL6803831 035 $a(CKB)19410530700041 035 $a(OCoLC)1285428588 035 $a(DE-He213)978-3-030-90539-2 035 $a(PPN)258838604 035 $a(EXLCZ)9919410530700041 100 $a20211112d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHigh Performance Computing $eISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24 ? July 2, 2021, Revised Selected Papers /$fedited by Heike Jagode, Hartwig Anzt, Hatem Ltaief, Piotr Luszczek 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (517 pages) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12761 311 08$a3-030-90538-1 327 $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.-. 330 $aChapter ?Machine-Learning-Based Control of Perturbed and Heated Channel Flows? is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12761 606 $aComputer engineering 606 $aComputer networks 606 $aLogic design 606 $aMicroprocessors 606 $aComputer architecture 606 $aArtificial intelligence 606 $aApplication software 606 $aComputer Engineering and Networks 606 $aLogic Design 606 $aProcessor Architectures 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aLogic design. 615 0$aMicroprocessors. 615 0$aComputer architecture. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 14$aComputer Engineering and Networks. 615 24$aLogic Design. 615 24$aProcessor Architectures. 615 24$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 676 $a004.22 702 $aJagode$b Heike 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910508459203321 996 $aHigh Performance Computing$93000244 997 $aUNINA