Carsten Lojewski

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Many scientific data sets are 3D or 4D scalar fields, for which typically isosurfaceand volume visualization methods are used to extract information. These data sets are either massively complex (e.g., seismic data sets), or steadily increasing in size due to the permanently improving resolutions of different 3D scanners (e.g., CTand MRTscanners) or(More)
The RDMA model provides an interesting basis for the creation of runtime systems and programming models targeting the development of parallel applications. There is a wide range of applications and algorithms that naturally fit the one-sided communication pattern presented by the RDMA model. In this paper we present the Fraunhofer Virtual Machine. The FVM(More)
The recent developments in computer architectures progress towards systems with large core count (Manycore) which expose more parallelism to applications. Some applications named irregular and unbalanced applications demand a dynamic and asynchronous load balance implementation to utilize the full performance a Manycore system. For example, the recently(More)
Whereas most applications in the realm of the partitioned global address space make use of PGAS languages we here demonstrate an implementation on top of a PGAS-API. In order to improve the scalability of the unstructured CFD solver TAU we have implemented an asynchronous communication strategy on top of the PGAS-API of GPI. We have replaced the(More)
We present an efficient implementation of a Dwyer-style Delaunay triangulation algorithm that runs in O(N) expected time. An implicit quad-tree is constructed directly from the floating point bit patterns of the input points by sorting the corresponding Morton codes with a radix sorting procedure. This unique structure adapts elegantly to any (non-)uniform(More)
Utilizing the vector units of current processors for ray tracing single rays through Bounding Volume Hierarchies has been accomplished by increasing the branching factor of the acceleration structure to match the vector width. A high branching factor allows vectorized bounding box tests but requires a complex control flow for the calculation of a(More)
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