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Supercomputing Frontiers : 5th Asian Conference, SCFA 2019, Singapore, March 11-14, 2019, Proceedings / edited by David Abramson, Bronis R. de Supinski.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Abramson, David., Editor.
De Supinski, Bronis R., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 11416
Theoretical Computer Science and General Issues, 2512-2029 ; 11416
Language:
English
Subjects (All):
Computer engineering.
Computer networks.
User interfaces (Computer systems).
Human-computer interaction.
Computer vision.
Operating systems (Computers).
Microprogramming.
Computer input-output equipment.
Computer Engineering and Networks.
User Interfaces and Human Computer Interaction.
Computer Vision.
Operating Systems.
Control Structures and Microprogramming.
Input/Output and Data Communications.
Local Subjects:
Computer Engineering and Networks.
User Interfaces and Human Computer Interaction.
Computer Vision.
Operating Systems.
Control Structures and Microprogramming.
Input/Output and Data Communications.
Physical Description:
1 online resource (IX, 107 pages) : 65 illustrations, 39 illustrations in color.
Edition:
1st ed. 2019.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2019.
System Details:
text file PDF
Summary:
This open access book constitutes the refereed proceedings of the 5th Asian Supercomputing Conference, SCFA 2019, held in Singapore in March 2019. The 6 full papers presented in this book were carefully reviewed and selected from 33 submissions. They cover a range of topics including memory fault handling, linear algebra, image processing, heterogeneous computing, resource usage prediction, and data caching.
Contents:
Practical Resource Usage Prediction Method for Large Memory Jobs in HPC clusters
A Crystal/Clear Pipeline for Applied Image Processing
A Cache-Based Data Movement Infrastructure for On-Demand Scientific Cloud Computing
PHINEAS: an Embedded Heterogeneous Parallel Platform
MH-QEMU: Memory-State-Aware Fault Injection Platform
Performance Evaluation and Analysis of Linear Algebra Kernels in the prototype Tianhe-3 Cluster.
Other Format:
Printed edition:
ISBN:
978-3-030-18645-6
9783030186456
Access Restriction:
Restricted for use by site license.

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