Screen LibraryHigh performance computing in science and engineering : 4th International Conference, HPCSE 2019, Karolinka, Czech Republic, May 20-23, 2019 : revised selected papers /
This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on High Performance Computing in Science and Engineering, HPCSE 2019, held in Karolinka, Czech Republic, in May 2019. The 9 papers presented in this volume were carefully reviewed and select...
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| Corporate Authors: | |
|---|---|
| Group Author: | |
| Published: |
Springer,
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| Publisher Address: | Cham : |
| Publication Dates: | [2021] |
| Literature type: | Book |
| Language: | English |
| Series: |
Lecture Notes in Computer Science,
12456 LNCS sublibrary, SL 1, Theoretical computer science and general issues |
| Subjects: | |
| Summary: |
This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on High Performance Computing in Science and Engineering, HPCSE 2019, held in Karolinka, Czech Republic, in May 2019. The 9 papers presented in this volume were carefully reviewed and selected from 13 submissions. The conference provides an international forum for exchanging ideas among researchers involved in scientific and parallel computing, including theory and applications, as well as applied and computational mathematics. The focus of HPCSE 2019 was on models, algorithms, and software tools that facilitate efficient and convenient utilization of modern parallel and distributed computing architectures, as well as on large-scale applications. |
| Item Description: | 1 Introduction. |
| Carrier Form: | vi, 172 pages : illustrations ; 24 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9783030670764 3030670767 |
| Index Number: | QA76 |
| CLC: | TP38-532 |
| Call Number: | TP38-532/I613/2019 |
| Contents: |
Intro -- Preface -- Organization -- Contents -- Thermal Characterization of a Tier0 Datacenter Room in Normal and Thermal Emergency Conditions -- 1 Introduction and Related Works -- 2 Methodology -- 3 Experimental Results -- 3.1 Spatial Study -- 3.2 Temporal Study -- 3.3 Thermal Emergency -- 4 Conclusion -- References -- Towards Local-Failure Local-Recovery in PDE Frameworks: The Case of Linear Solvers -- 1 Introduction -- 1.1 Motivation -- 1.2 Contribution -- 1.3 Related Work -- 2 Preliminaries -- 2.1 DUNE -- The Distributed Unified Numerics Environment 2.2 Restoring MPI Communicators with ULFM and Distributed Exceptions -- 2.3 Data-Driven Compression with the SZ Library -- 3 Preparing Iterative Linear Solvers for LFLR -- 3.1 Backup Creation and Compression -- 3.2 Remote Storing of Backups -- 3.3 Recovery Strategies -- 3.4 Recovery of Iterative Solvers -- 4 Implementation for Iterative Solvers in DUNE -- 4.1 Framework Extensions -- 4.2 Modifications for CG and GMRES(m) -- 5 Numerical Examples -- 5.1 Small-Scale Viability Tests -- 5.2 Overhead Quantification at Scale -- 6 Conclusions -- References Complexity Analysis of a Fast Directional Matrix-Vector Multiplication -- 1 Introduction -- 2 Derivation of the Fast Directional Method -- 2.1 Box Cluster Trees -- 2.2 A Directional Kernel Approximation -- 2.3 Partitioning of the Matrix -- 2.4 Choice of Directions -- 2.5 Transfer Operations -- 2.6 Main Algorithm -- 2.7 Implementation Details -- 3 Complexity Analysis -- 4 Numerical Examples -- References -- Fast Large-Scale Boundary Element Algorithms -- 1 Introduction -- 2 H2-Matrices -- 3 Hybrid Cross Approximation -- 4 Green Cross Approximation -- 5 Numerical Experiments -- References Solving Large-Scale Interior Eigenvalue Problems to Investigate the Vibrational Properties of the Boson Peak Regime in Amorphous Materials -- 1 Introduction -- 2 Numerical Solution Procedures -- 2.1 Spectral Projector -- 2.2 Chebyshev Polynomial Expansions -- 2.3 Dealing with the Gibbs Phenomenon -- 2.4 Counting the Eigenvalues in an Interval -- 2.5 Computing a Basis of R(p[,]) -- 3 Implementation -- 4 Numerical Experiments -- 5 Physics Results -- 6 Conclusions -- References -- Performance Evaluation of Pseudospectral Ultrasound Simulations on a Cluster of Xeon Phi Accelerators -- 1 Introduction 2 Local Fourier Basis Domain Decomposition -- 3 Target Architecture -- 4 Implementation -- 4.1 Execution Mode -- 4.2 Fast Fourier Transforms -- 4.3 Overlap Exchanges -- 4.4 Parallel Input and Output -- 5 Scaling Results -- 5.1 Overview -- 5.2 Performance Scaling on Large Domains -- 5.3 Performance Scaling on Small Domains -- 5.4 Simulation Time Breakdown -- 6 Platform Investigation -- 6.1 Overview -- 6.2 Performance of 3D FFTs on Intel Xeon Phi -- 6.3 Performance of Intel MPI on Intel Xeon Phi -- 7 Conclusion -- References -- Estimation of Execution Parameters for k-Wave Simulations |