Max Schneider

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We report a newly developed analysis algorithm for optical coherence tomography (OCT) that makes a retinal single-layer analysis with calculation of the average thickness of retinal layers possible. The aim of the study was to examine specific patterns of retinal layer pathology as a potential marker of neurodegeneration in Parkinson's disease (PD),(More)
Future high-performance computing (HPC) architectures will consist of whole parallel computing systems integrated on chip-level and boards mounted with lots of computing chips and chip-external main memory. Photonic networks on board and photonic network on chips (NoCs) offer the potential to fulfill the high bandwidth requirements in such systems. In(More)
BACKGROUND Fear conditioning and extinction are prevailing experimental and etiological models for normal and pathological anxiety. Pupil dilations in response to conditioned stimuli are increasingly used as a robust psychophysiological readout of fear learning, but their neural correlates remain unknown. We aimed at identifying the neural correlates of(More)
Parallel computing has been aniche for scientific research in academia for decades. However, as common industrial applications become more and more performance demanding and raising the clock frequencyofconventional single-core systems is hardly an option due to reaching technological limitations, efficient use of (embedded) multi-core CPUs and many-core(More)
We present PATOS, a CLANG-based source-to-source compiler to extend the OpenCL kernel language with C++ classes and template types for classes and functions. The generated code is standard conforming OpenCL-C which is usable with unmodified OpenCL drivers. With PATOS, type-agnostic host libraries can directly use OpenCL without having to deal with manual(More)
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