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 15 of 15 for “"Parallel and Distributed Computing"”.
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A distributed analysis and monitoring framework for the compact Muon solenoid experiment and a pedestrian simulation
The design of a parallel and distributed computing system is a very complicated task. It requires a detailed understanding of the design issues and of the theoretical and practical aspects of their solutions. Firstly, this thesis discusses in detail the major concepts and components required to …
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Resource Efficient Parallel VLDB with Customizable Degree of Redundancy
… It leverages two recent breakthroughs in parallel and distributed computing: a) synchronous transaction replication technologies by Justin Y. Shi and Suntain Song; and b) Stateless Parallel Processing principle pioneered by Justin Y. Shi. These breakthroughs enable scalable performance and …
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The design and implementation of CHITRA92, a system to empirically model concurrent software performance
With parallel and distributed computing entering the mainstream of computer science, it is important to ensure that parallel application codes are optimized to achieve the best possible performance. This thesis describes the design and implementation of CHITRA92, the second generation of a …
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Parallel Islands: A Diversity Aware Tool For Parallel Computing Education
… multiprocessors has led to the incorporation of parallel processing in virtually all segments of industry. Creation of and maintenance for the software to run these systems, as well as for the applications using these systems, requires extensive knowledge of the concepts and skills of parallel …
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Evaluating a Cluster of Low-Power ARM64 Single-Board Computers with MapReduce
… enormous data collection in science, industry, and the cloud, methods for processing massive datasets have become more crucial than ever. MapReduce is a restricted programing model for expressing parallel computations as simple serial functions, and an execution framework for distributing those …
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Fault-tolerance embedding of rings and arrays in star and pancake graphs
The star and pancake graphs are useful interconnection networks for connecting processors in a parallel and distributed computing environment. The star network has been widely studied and is shown to possess attactive features like sublogarithmic diameter, node and edge symmetry and high …
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A statistical mechanics approach for an effective, scalable, and reliable distributed load balancing scheme for grid networks
The advances in computer and networking technologies over the past decades produced new type of collaborative computing environment called Grid Networks. Grid network is a parallel and distributed computing network system that possesses the ability to achieve a higher computing throughput by taking …
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Distributed dense linear algebra operations with Charm++
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-12-01
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Small-scale distributed machine learning in R
… is increasing in popularity, both in applied and theoretical statistical fields. Machine learning models generally require large amounts of data to train and thus are computationally expensive, both in the absolute sense of actual compute time, and in the relative sense of the numerical …
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A Software Framework For the Detection and Classification of Biological Targets in Bio-Nano Sensing
Detection and identification of important biological targets, such as DNA, proteins, and diseased human cells are crucial for early diagnosis and prognosis. The key to discriminate healthy cells from the diseased cells is the biophysical properties that differ radically. Micro and nanosystems, such …
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Energy Landscapes for Protein Folding
… chemical transport, molecular recognition, and catalysis. To perform their function most proteins must adopt a specific structure (often referred to as the folded structure). A microscopic description of folding is an important prerequisite for elucidating the underlying basis of protein …
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High-performance evolutionary computation for scalable spatial optimization
Spatial optimization (SO) is an important and prolific field of interdisciplinary research. Spatial optimization methods seek optimal allocation or arrangement of spatial units under spatial constraints such as distance, adjacency, contiguity, partition, etc. As spatial granularity becomes finer …
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Inference and Learning in Spiking Neural Networks for Neuromorphic Systems
<p>Neuromorphic computing is a computing field that takes inspiration from the biological and physical characteristics of the neocortex system to motivate a new paradigm of highly parallel and distributed computing to take on the demands of the ever-increasing scale and computational complexity of …
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Inference And Learning In Spiking Neural Networks For Neuromorphic Systems
<p>Neuromorphic computing is a computing field that takes inspiration from the biological and physical characteristics of the neocortex system to motivate a new paradigm of highly parallel and distributed computing to take on the demands of the ever-increasing scale and computational complexity of …