High performance computing : ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24-July 2, 2021 : revised selected papers
Author(s)
Bibliographic Information
High performance computing : ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24-July 2, 2021 : revised selected papers
（Lecture notes in computer science, 12761 . LNCS sublibrary ; SL 1 . Theoretical computer science and general issues）
Springer, c2021
Available at / 1 libraries
-
No Libraries matched.
- Remove all filters.
Note
Includes bibliographical references and index
Description and Table of Contents
Description
This book constitutes the refereed post-conference proceedings of 9 workshops held at the 35th International ISC High Performance 2021 Conference, in Frankfurt, Germany, in June-July 2021:
Second International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics and Solid Mechanics Simulations and Analysis; HPC-IODC: HPC I/O in the Data Center Workshop; Compiler-assisted Correctness Checking and Performance Optimization for HPC; Machine Learning on HPC Systems;4th International Workshop on Interoperability of Supercomputing and Cloud Technologies;2nd International Workshop on Monitoring and Operational Data Analytics;16th Workshop on Virtualization in High -Performance Cloud Computing; Deep Learning on Supercomputers; 5th International Workshop on In Situ Visualization.
The 35 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.
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.
Table of 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.-
by "Nielsen BookData"