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020 ▼a 9780438284661
035 ▼a (MiAaPQ)AAI10970003
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 004
1001 ▼a Zhang, Wenzhao.
24512 ▼a A Memory Hierarchy- and Network Topology-Aware Framework for Runtime Data Sharing at Scale.
260 ▼a [S.l.] : ▼b North Carolina State University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 102 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Nagiza F. Samatova.
5021 ▼a Thesis (Ph.D.)--North Carolina State University, 2018.
520 ▼a Data analytics is often performed in a post-processing manner, as the data generated by an application is first written to the file system, for example parallel file system (PFS), and then read out to dynamic-random-access-memory (DRAM) for anal
520 ▼a In this dissertation, we illustrate the value of the proposed framework using large scale scientific datasets generated and shared over modern supercomputers. Specifically, we demonstrate that our framework enables the runtime sharing of the Ada
520 ▼a In this dissertation, we propose a framework to facilitate runtime AMR data sharing for scientific applications, with the goals of realizing effective AMR data access and further optimizing data access performance over the staging space by explo
520 ▼a Then, we present a set of methods to further extend the framework. The upgraded framework is able to utilize Solid State Drives (SSDs) on modern supercomputers as an over ow space for when the DRAM fills. It can detect common spatially constrain
520 ▼a Finally, we present a collection of methods to address some key performance issues plaguing SSDs, such as read contention and files fragmentation. To address read contention issues involved with SSDs, we present a general purpose online read alg
590 ▼a School code: 0155.
650 4 ▼a Computer science.
690 ▼a 0984
71020 ▼a North Carolina State University.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0155
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001315 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자