Edwin Jan Klein - Universiteit Twente

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Chapter 4 4.5.1 Architecture The Aurora program, like the programs discussed in the previous paragraphs, was created using Microsoft Visual C++ [120]. The program was intentionally designed to be modular; relying heavily on object oriented programming to achieve this goal. This is also reflected in the simplified architecture of the program, shown in Figure 4.8. All tasks of a certain nature, such as component management or simulation regulation have been assigned to a specific manager module. These modules interact with the program user and, based on user input, regulate the internal flow of data or invoke other modules to perform specific operations on this data. Load components Token Compiler Component Template Library Component Manager Design Core Analysis Primitive Library Component List Project Manager Load/Save project Saved Simulation Data Primitive List Execution Engine Time-list User Interaction/Visualization Figure 4.8. Aurora architecture. On a super-modular level the program has been divided into three distinct parts that can be identified as design, core and analysis. Between these parts the interaction was intentionally kept to a minimum. Although this also provides a clear benefit to program maintainability the main reason for doing so lies in the nature of scientific simulation software. Typically such software is based on a comparatively small but highly complex algorithm or set of equations. These calculation algorithms are 82 Data Miner Simulation Manager Graph Manager
83 Simulation and analysis generally required to be as fast a possible and should therefore be devoid of anything not related to the calculations. This is especially true for the user interface that is often required to change data that can be understood by the user into data that is easy to process by the algorithms. While the user interface and the simulation algorithms are sometimes intentionally placed in separate programs it is common practice to integrate these together in a single program. In addition to this a data visualization backend is often included to provide a user easy access to the output data of the algorithms. The three parts of the Aurora program also reflect this strong separation of tasks: • The design section serves as the main user interface. It allows the user to create a complex optical circuit out of “components”. At the most basic level these components can represent single waveguides or couplers but higher level components, comprised of several other components are also possible. The components are essentially no more than localized user interfaces that are dynamically created from a template and added to an internal list when the user creates the component. They provide both the visualization of a component (e.g. show a circle for a resonator) as well as easy access, through the use of variables, to the actual mathematical representation of these components. This representation resides externally of these components in so called “primitives” that will be discussed in detail in Paragraph 4.5.2. In addition, a component takes care of the linkage between these primitives if the user connects one or more components. Although the primitives are created and maintained by the components they are separate entities that belong to and are part of the actual simulation algorithms. • The core section of Aurora, which currently makes up less than 1% of the overall code, contains all the algorithms and management routines required to perform a time domain simulation. The core was designed to operate as a separate entity that takes the primitives created by the user interface and, after simulating the optical circuit represented by these, saves all relevant data to disk. • The analysis section has a dual task. It serves both as a simulation manager, setting up the simulation core for a certain type of simulation, as well as a data-miner that extracts useful information from the output of a simulation and displays it to the user. Although it might seem cumbersome to put the simulation setup in the analysis section rather than combining it directly with the simulation core there is in fact a very good reason for doing so based on computational performance. The simulation algorithms that are used by the core are fundamentally timedomain based. It is therefore only possible to find the frequency response of an optical circuit by combining the results of several of these simulations. However, because the individual time-domain simulations have no interdependencies, it is possible to calculate all these simulations in parallel on different threads, processors or even computers which makes the calculation method used by Aurora extremely fast. In light of this distributed calculation it makes more sense to place the management of the simulation outside of the core. Based on the simulation settings by the user the simulation manager can then create a number of cores in different threads (on the same or other computers) that each simulate a small number of wavelengths and combine their outputs into a single result.
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DENSELY INTEGRATED MICRORING- RESON
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DENSELY INTEGRATED MICRORING- RESON
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To my parents…
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esonators is limited by the spacing
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iv Samenvatting Dit proefschrift be
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schakelaar “aan” is, dan is de
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3.6.2 Overlap loss reduction.......
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Chapter 1 Introduction The devices
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1.2 Broadband to the home 3 Introdu
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1.3 Bringing Fiber to the Home 5 In
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Figure 1.5. The technological scope
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9 Introduction these basic paramete
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Chapter 2 2.1 Introduction Integrat
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Chapter 2 light Icav2 in the cavity
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Chapter 2 ∆ = ⎛ β r − β g
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Chapter 2 2.3.3 Combined model The
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Chapter 2 FC 4µ 1µ 2 ⋅ χr = 2
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Chapter 2 P Through /P In (dB) 0 -1
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Chapter 2 The figure shows that it
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Chapter 2 In − jϕr1 2 Figure 2.1
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Chapter 2 differences between the f
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Chapter 2 M = ⋅ FSR = N ⋅ FSR F
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Page 86 and 87: Chapter 4 4.1 Introduction As was s
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Page 90 and 91: Chapter 4 Under the condition that
Page 92 and 93: Chapter 4 Figure 4.4. Screenshot of
Page 94 and 95: Chapter 4 The equations required to
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Page 102 and 103: Chapter 4 Figure 4.9. A Primitive w
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Page 108 and 109: Chapter 4 simulated output spectra
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Page 114 and 115: Chapter 4 Figure 4.27a. OADM with r
Page 116 and 117: Chapter 4 will propagate through th
Page 118 and 119: Chapter 4 As demonstrated by these
Page 120 and 121: Chapter 4 What is more interesting
Page 122 and 123: Chapter 4 method it does allow time
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Page 126 and 127: Chapter 5 5.1 Introduction The mate
Page 128 and 129: Chapter 5 wafer is used (step 1). T
Page 130 and 131: Chapter 5 range of 0.9 to 1.1 µm.
Page 132 and 133: Chapter 5 The process flow with the
Page 134 and 135: Chapter 5 5.3.3 Mask layout The big
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Chapter 6 In early, comparatively s
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Chapter 6 that the TEOS has a very
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Chapter 6 The most important aspect
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Chapter 6 6.2.3 Chromium heater des
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Chapter 6 Therefore, even if the si
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Chapter 6 Next, the heater was heat
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Chapter 6 6.3 Characterization of s
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Chapter 6 polarization maintaining
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Chapter 6 the resonators in this gr
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Chapter 6 Although the fitted coupl
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Chapter 6 a cladding thickness of 3
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Chapter 6 6.4 A wavelength selectiv
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Chapter 6 A possible explanation fo
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Chapter 7 Densely integrated device
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Densely integrated devices for WDM-
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7.2.2 Spectral measurements Densely
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Power Densely integrated devices fo
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7.3.4 Characterization Densely inte
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Figure 7.31a. Eye pattern of the re
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Chapter 8 8.1 Introduction In most
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Chapter 8 amount of power will be d
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Chapter 8 Another problem that may
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Chapter 8 halves that are each comp
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Chapter 9 Discussion and Conclusion
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Appendix A. Mason’s rule Several
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Appendix B. Crosstalk Derivation Th
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List of Acronyms ADSL - Asymmetric
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List of Symbols Q - Quality Factor
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Bibliography [1] Dan Schiller, “E
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Regions,” IEEE Photonics Technolo
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[66] B. E. Little, S. T. Chu, J. V.
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[97] H. Haeiwa, T. Naganawa and Y.
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[135] A. Driessen, D. H. Geuzebroek
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[165] T. Barwicz, M. R. Watts, M. A
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Publication List Patents (pending)
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R. Dekker, L.T.H.Hilderink, M.B.J.
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Networks (BB Photonics),” Interna
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Dankwoord/Acknowledgements Zo, dit
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Edwin Jan Klein - Universiteit Twente

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