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High Performance Computing : ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24 - July 2, 2021, Revised Selected Papers / edited by Heike Jagode, Hartwig Anzt, Hatem Ltaief, Piotr Luszczek.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12761
- Theoretical Computer Science and General Issues, 2512-2029 ; 12761
- Language:
- English
- Subjects (All):
- Computer engineering.
- Computer networks.
- Logic design.
- Microprocessors.
- Computer architecture.
- Artificial intelligence.
- Application software.
- Computer Engineering and Networks.
- Logic Design.
- Processor Architectures.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Local Subjects:
- Computer Engineering and Networks.
- Logic Design.
- Processor Architectures.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Physical Description:
- 1 online resource (XIII, 515 pages) : 199 illustrations, 174 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- Chapter "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.
- Contents:
- Second 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 functions on 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.-.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-90539-2
- 9783030905392
- Access Restriction:
- Restricted for use by site license.
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