Supercomputing Frontiers
5th Asian Conference, SCFA 2019, Singapore, March 11?14, 2019, Proceedings
Series: Lecture Notes in Computer Science; 11416;
- Publisher's listprice EUR 53.49
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22 690 Ft (21 609 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
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22 690 Ft
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Product details:
- Edition number 1st ed. 2019
- Publisher Springer
- Date of Publication 16 April 2019
- Number of Volumes 1 pieces, Book
- ISBN 9783030186449
- Binding Paperback
- No. of pages107 pages
- Size 235x155 mm
- Weight 454 g
- Language English
- Illustrations 26 Illustrations, black & white; 39 Illustrations, color 12
Categories
Short description:
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.
Long description:
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.
Table of 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.
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