Supercomputing Frontiers: 5th Asian Conference, SCFA 2019, Singapore, March 11–14, 2019, Proceedings: Lecture Notes in Computer Science, cartea 11416
Editat de David Abramson, Bronis R. de Supinskien Limba Engleză Paperback – 16 apr 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.
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Specificații
ISBN-13: 9783030186449
ISBN-10: 303018644X
Pagini: 107
Ilustrații: IX, 107 p. 65 illus., 39 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.18 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
ISBN-10: 303018644X
Pagini: 107
Ilustrații: IX, 107 p. 65 illus., 39 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.18 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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.
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.