LEADER 05698nam 22007215 450 001 996418310003316 005 20230329151725.0 010 $a3-030-59851-9 024 7 $a10.1007/978-3-030-59851-8 035 $a(CKB)4100000011513461 035 $a(DE-He213)978-3-030-59851-8 035 $a(MiAaPQ)EBC6380837 035 $a(PPN)256022615 035 $a(EXLCZ)994100000011513461 100 $a20201019d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHigh Performance Computing$b[electronic resource] $eISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21?25, 2020, Revised Selected Papers /$fedited by Heike Jagode, Hartwig Anzt, Guido Juckeland, Hatem Ltaief 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XI, 382 p. 181 illus., 104 illus. in color.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12321 311 $a3-030-59850-0 320 $aIncludes bibliographical references and index. 327 $aChecking and Performance Optimization for HPC (C3PO'20) -- Compiler-assisted type-safe checkpointing -- Static analysis to enhance programmability and performance in OmpSs-2 21 Automatic detection of MPI assertions -- Automatic Code Motion to Extend MPI Nonblocking Overlap Window -- First International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics Simulations and Analysis (CFDML) .-Complete Deep Computer-Vision Methodology for Investigating Hydrodynamic Instabilities -- Prediction of Acoustic Fields using a Lattice-Boltzmann Method and Deep Learning -- Unsupervised Learning of Particle Image Velocimetry -- Reduced order modeling of dynamical systems using arti cial neural networks applied to water circulation -- Parameter Identification of RANS turbulence model using Physics-embedded neural network -- Investigating the Overhead of the REST Protocol when Using Cloud Services for HPC Storage -- Characterizing I/O Optimization E ect Through Holistic Log Data Analysis of Parallel File Systems and Interconnects -- The Importance of Temporal Behavior when Classifying Job IO Patterns Using Machine Learning Techniques -- GOPHER, an HPC framework for large scale graph exploration and inference -- Ensembles of Networks Produced from Neural Architecture Search -- SmartPred: Unsupervised Hard Disk Failure Detection -- Application IO analysis with Lustre Monitoring using LASSi for ARCHER -- Characterizing HPC Performance Variation with Monitoring and Unsupervised Learning -- Service Function Chaining Based on Segment Routing Using P4 and SR-IOV (P4-SFC) -- Seamlessly managing HPC workloads through Kubernetes -- Interference-aware Orchestration in Kubernetes -- RustyHermit: A Scalable, Rust-based Virtual Execution Environment -- Rootless Containers with Podman for HPC -- Bioinformatics application with Kube ow for batch processing in clouds -- Converging HPC, Big Data and Cloud technologies for precision agriculture data analytics on supercomputers. 330 $aThis book constitutes the refereed post-conference proceedings of 10 workshops held at the 35th International ISC High Performance 2020 Conference, in Frankfurt, Germany, in June 2020: First Workshop on Compiler-assisted Correctness Checking and Performance Optimization for HPC (C3PO); First International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics Simulations and Analysis (CFDML); HPC I/O in the Data Center Workshop (HPC-IODC); First Workshop \Machine Learning on HPC Systems" (MLHPCS); First International Workshop on Monitoring and Data Analytics (MODA); 15th Workshop on Virtualization in High-Performance Cloud Computing (VHPC). The 25 full papers included in this volume were carefully reviewed and selected. They cover all aspects of research, development, and application of large-scale, high performance experimental and commercial systems. Topics include high-performance computing (HPC), computer architecture and hardware, programming models, system software, performance analysis and modeling, compiler analysis and optimization techniques, software sustainability, scientific applications, deep learning. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12321 606 $aComputer engineering 606 $aComputer networks 606 $aApplication software 606 $aArtificial intelligence 606 $aComputers 606 $aSoftware engineering 606 $aComputer Engineering and Networks 606 $aComputer and Information Systems Applications 606 $aArtificial Intelligence 606 $aComputing Milieux 606 $aComputer Communication Networks 606 $aSoftware Engineering 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aApplication software. 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aSoftware engineering. 615 14$aComputer Engineering and Networks. 615 24$aComputer and Information Systems Applications. 615 24$aArtificial Intelligence. 615 24$aComputing Milieux. 615 24$aComputer Communication Networks. 615 24$aSoftware Engineering. 676 $a004.3 702 $aJagode$b Heike 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996418310003316 996 $aHigh Performance Computing$93000244 997 $aUNISA