Supercomputing Frontiers [electronic resource] : 5th Asian Conference, SCFA 2019, Singapore, March 11–14, 2019, Proceedings / edited by David Abramson, Bronis R. de Supinski.
Contributor(s): Abramson, David [editor.] | de Supinski, Bronis R [editor.] | SpringerLink (Online service)
Material type: TextSeries: Theoretical Computer Science and General Issues: 11416Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019Description: IX, 107 p. 65 illus., 39 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783030186456Subject(s): Computer organization | User interfaces (Computer systems) | Optical data processing | Operating systems (Computers) | Microprogramming | Input-output equipment (Computers) | Computer Systems Organization and Communication Networks | User Interfaces and Human Computer Interaction | Image Processing and Computer Vision | Operating Systems | Control Structures and Microprogramming | Input/Output and Data CommunicationsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004.6 LOC classification: QA76.9.C643TK5105.5-5105.9Online resources: Click here to access onlinePractical 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.
Open Access
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.
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