Titlebook: Lp-Theory for Incompressible Newtonian Flows; Energy Preserving Bo Matthias Köhne Book 2013 Springer Fachmedien Wiesbaden 2013 Energy Prese

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,-Theory in Weakly Singular Domainsdary conditions introduced in Chapter 2, which has been developed for bounded smooth domains in Chapters 3 – 7, to a certain class of domains having a non-smooth boundary. As has been mentioned in the introduction, domains like the tube in the figure on page 3 occur frequently as model problems in computational fluid dynamics.

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https://doi.org/10.1007/978-3-658-01052-2Energy Preserving Boundary Condition; Mathematical Fluid Dynamics; Maximal Lp-Regularity; Navier-Stokes

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ver, traditional pointer and array analysis techniques often fall short in automatically identifying this parallelism. This is due to the allocation and referencing patterns of time-slicing algorithms, where information flows from one time slice to the next. In these, an object is allocated within a

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espect to connection management, accommodate dynamic processes joining/leaving at runtime, and provide simple means to tolerate communication/node failures. All of the above must be presented in a simple and flexible programming model. This paper designs and implements such a framework by minimally

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Matthias Köhne systems. A major problem in implementing social network analysis algorithms is the sheer size of many social networks, for example, the Facebook graph has more than 900 million vertices and even small networks may have tens of millions of vertices. One solution to dealing with these large graphs is

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Matthias Köhneucing power and cost in designs of VLIW DSP processors, distributed register files and multi-bank register architectures are being adopted to eliminate the amount of read/write ports in register files. This presents new challenges for devising compiler optimization schemes for such architectures. In

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Matthias Köhneability issues. Therefore, it is highly necessary to detect and fix them. However, existing MPI programming error detection tools have rather limited support for data race detection. To address this problem, we present MPIRace, which is a . data race detector for MPI programs. It creates several nov