00975nam0-22003011i-450-99000739314040332120030217000739314FED01000739314(Aleph)000739314FED0100073931420030217d1957----km-y0itay50------bagerCHy---m---001yy<<Der >>adäquate Kausalzusammenhang und der Umfang der Schadendeckung in der privaten Feuerversicherungvon Karl KobeltBernStämpflic1957VIII, 83 p.24 cmAbhandlungen zum schweizerischen Recht327Berner DissertationKobelt,Karl267234ITUNINARICAUNIMARCBK990007393140403321COLLEZIONE 16 (327)55361FGBCFGBCAdäquate Kausalzusammenhang und der Umfang der Schadendeckung in der privaten Feuerversicherung691927UNINA02332nam 2200457 450 991058019330332120230822182638.0(CKB)5860000000055163(NjHacI)995860000000055163(EXLCZ)99586000000005516320230822d2022 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierPERMAVOST '22 proceedings of the 2nd Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn Strategy : June 30, 2022, Minneapolis, MN, USA /program chairs, Connor Scully-Allison,Radita Liem, Ana Veroneze SolorzanoNew York :Association for Computing Machinery,2022.1 online resource (30 pages) illustrationsACM ConferencesIncludes index.1-4503-9314-4 It is our great pleasure to welcome you to the 22nd Workshop on Performance Engineering, Modelling, Analysis, and Visualization Strategy - PERMAVOST 2022.Modern software engineering is getting increasingly complicated. In the HPC field, we are dealing with cutting-edge infrastructure and a novel problem on an unprecedented scale. The scale here is not only in terms of the HPC infrastructure but also, in terms of the people involved. Modernday HPC projects involve a wide variety of experts. From application analysts, and tools developers to domain scientists, all with varying degrees of knowledge in HPC performance analysis. We created this workshop in the hope of bridging these stakeholders, creating a robust feedback loop to answer future challenges in performance modeling, analysis, engineering, and visualization.Computer scienceCongressesInformation storage systemsMachine learningCongressesPerformanceCongressesComputer scienceInformation storage systems.Machine learningPerformance004Scully-Allison ConnorLiem RaditaSolorzano Ana VeronezeNjHacINjHaclBOOK9910580193303321PERMAVOST '223474535UNINA