Cloud Computing for Nanophotonic Simulations

Asymptotic research in computer optics

“…We use this methods not only for the study of diffractive optical elements (in particular, of short-focus DOEs), but also for the study of nanophotonics components [66][67][68][69][70][71][72][73][74], for the design of equipment for hyperspectral remote sensing [75][76][77][78][79] and solving other urgent tasks of diffractive nanophotonics [80]. …”

Analysis of the scientific and organizational results of the Image Processing Systems Institute of the RAS

“…Topics that have been actively developed include methods for designing diffractive focusing elements [53 -59], methods for synthesizing the diffractive microrelief on various optical materials [60 -67], computer-aided simulation technologies [68][69][70][71][72][73][74], and asymptotic diffraction research methods [75]. Methods for designing optical antennae have been put in practice for designing lighting devices [76 -79], multi-order [80 -81] and spectral [82 -83] optical elements.…”

Performance analysis of sliding window filtering of two dimensional signals based on stream data processing systems

“…The rates of data from systems such as network of sensors, network of cameras, hyperspectral remote sensors could reach up to several petabytes per second [1][2][3]. Traditional ways [4][5][6] of big data processing, in particular MapReduce paradigm [7][8][9], are not capable for analysis of data streams with such rates due to data storage capacity limitations and latencies of disk input/output access before analysis [10][11]. Stream data processing systems solves this problem, providing the ability for real-time and low-latency data analysis [12][13].…”