Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 13 of 13 for “"Parallel communication"”.
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Error bounds for parallel communication channels.
Thesis: Sc. D., Massachusetts Institute of Technology, Department of Electrical Engineering, 1965
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parallel communication mechanisms for sparse, irregular applications
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
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Multiscale Simulation of Copper Nucleation on Gold
… to Sequential Coupling, eliminating the need for parallel communication between KMC simulations along the substrate with each other and with the resistive substrate code. Further analysis of the chemical mechanism and simulation model were earned out using results of the resistive substrate …
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A fault tolerant bus interface unit based on the nubus standardized bus architecture
… among these subsystems is provided by parallel communication busses. Satellite-based systems are susceptible to transient faults caused by cosmic radiation or alpha particles. In order for a system to be usable in such an environment, it must be designed to be upset tolerant. …
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Approaches to High Speed Networks
… methods by which existing potentially available communication bandwidth can be used by communication intensive applications. Presently fiber optic media are available that can provide multiple gigabits of throughput. Unfortunately, because of the computation overhead required to insure that data …
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Spatial modulation in the underwater acoustic communication channel
… data rate achievable by an underwater acoustic communication system is presented and demonstrated. The technique, termed spatial modulation, seeks to control the spatial distribution of signal energy such that multiple parallel communication channels are supported by the single, physical ocean …
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Robust structured multigrid at extreme scales
… structure throughout the multigrid hierarchy. In parallel these methods benefit from nearest neighbor stencil-based communication patterns; however, the increased communication demands of coarse-grid problems and block smoothers needed for a robust solver challenge parallel efficiency. In this …
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Transimpedance Amplifier (TIA) Design for 400 Gb/s Optical Fiber Communications
… design for high speed optical fiber communication is a fairly new research area in Dr. Ha's group. In the first project sponsored by ETRI (Electronics and Telecommunication Research Institute) we started to design the building blocks of receiver for next generation 400 Gb/s optical …
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Multi-CubeSat mission planning enabled through parallel computing
… integration of multiple satellites using parallel processing on a super computer, and lays out the necessary constraints to define cooperative intercept, rendezvous and orbit reconfiguration problems. Finally, this dissertation develops a new approach to parallel algorithmic …
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Algorithms for Analyzing Spatio-Temporal Data
… store and process data using multiple machines. Parallel programming frameworks such as MapReduce and its variants are becoming popular for handling such large data. We present the first provably efficient algorithms to compute, store, and query data structures for range queries and approximate …
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Reducing communication in sparse solvers
… the cost of many scientific applications. In parallel, the performance and scalability of these operations is limited by irregular point-to-point communication. Multiple methods are investigated throughout this dissertation for reducing the cost associated with communication throughout sparse …
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Reducing communication bottlenecks in iterative solvers
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Communication avoiding parallel algorithms for amorphous problems
Parallelizing large sized problem in parallel systems has always been a challenge for programmer. This difficulty is caused by the complexity of the existing systems as well as the target problems. This is becoming a greater issue as the data sizes are constantly growing and as a result, larger …