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000929606 0247_ $$a10.1007/978-3-030-17872-7$$2doi
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000929606 24500 $$aProgramming and Performance Visualization Tools :$$bInternational Workshops, ESPT 2017 and VPA 2017, Denver, CO, USA, November 12 and 17, 2017, and ESPT 2018 and VPA 2018, Dallas, TX, USA, November 16 and 11, 2018, Revised Selected Papers /$$cedited by Abhinav Bhatele, David Boehme, Joshua A. Levine, Allen D. Malony, Martin Schulz.
000929606 260__ $$aCham :$$bSpringer,$$c2019.
000929606 300__ $$a1 online resource
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000929606 337__ $$acomputer$$bc$$2rdamedia
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000929606 4901_ $$aProgramming and Software Engineering ;$$v11027
000929606 506__ $$aAccess limited to authorized users.
000929606 520__ $$aThis book contains the revised selected papers of 4 workshops held in conjunction with the International Conference on High Performance Computing, Networking, Storage and Analysis (SC) in November 2017 in Denver, CO, USA, and in November 2018 in Dallas, TX, USA: the 6th and 7th International Workshop on Extreme-Scale Programming Tools, ESPT 2017 and ESPT 2018, and the 4th and 5th International Workshop on Visual Performance Analysis, VPA 2017 and VPA 2018. The 11 full papers of ESPT 2017 and ESPT 2018 and the 6 full papers of VPA 2017 and VPA 2018 were carefully reviewed and selected for inclusion in this book. The papers discuss the requirements for exascale-enabled tools as well as new approaches of applying visualization and visual analytic techniques to large-scale applications. Topics of interest include: programming tools; methodologies for performance engineering; tool technologies for extreme-scale challenges (e.g., scalability, resilience, power); tool support for accelerated architectures and large-scale multi-cores; tool infrastructures and environments; evolving/future application requirements for programming tools and technologies; application developer experiences with programming and performance tools; scalable displays of performance data; case studies demonstrating the use of performance visualization in practice; data models to enable scalable visualization; graph representation of unstructured performance data; presentation of high-dimensional data; visual correlations between multiple data sources; human-computer interfaces for exploring performance data; and multi-scale representations of performance data for visual exploration.
000929606 650_0 $$aSoftware engineering.
000929606 650_0 $$aComputer network architectures.
000929606 650_0 $$aLogic design.
000929606 650_0 $$aComputer science.
000929606 650_0 $$aOptical pattern recognition.
000929606 7001_ $$aBhatele, Abhinav.
000929606 7001_ $$aBoehme, David.
000929606 7001_ $$aLevine, Joshua A.
000929606 7001_ $$aMalony, Allen D.
000929606 7001_ $$aSchulz, Martin.
000929606 7112_ $$aESPT (Workshop)$$n(6th :$$d2017 :$$cDenver, Colo.)
000929606 7112_ $$aVPA (Workshop)$$n(4th :$$d2017 :$$cDenver, Colo.)
000929606 7112_ $$aESPT (Workshop)$$n(7th :$$d2018 :$$cDallas, Tex.)
000929606 7112_ $$aVPA (Workshop)$$n(5th :$$d2018 :$$cDallas, Tex.)
000929606 77608 $$iPrint version:$$z9783030178710
000929606 830_0 $$aLNCS sublibrary.$$nSL 2,$$pProgramming and software engineering ;$$v11027.
000929606 852__ $$bebk
000929606 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-17872-7$$zOnline Access$$91397441.1
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