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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.
Springer Nature - Springer Nature Link Journals and eBooks - Fully Open Access Available online
View online- Format:
- Book
- Author/Creator:
- Abramson, David, Editor.
- Series:
- 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 p. 65 illus., 39 illus. in color.)
- Edition:
- 1st ed. 2019.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- Language Note:
- English
- 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.
- ISBN:
- 9783030186456
- 3030186458
- OCLC:
- 1100767210
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