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 20 of 237 for “"Massively parallel"”.
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Massively parallel neural computation
… has been described as “embarrassingly parallel” as each neuron can be thought of as an independent system, with behaviour described by a mathematical model. However, the real challenge lies in modelling neural communication. While the connectivity of neurons has some parallels with that …
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Massively parallel combinatorial microbiology
… I present kChip, a new platform for constructing massively parallel combinatorial arrays of these parts in order to measure their interactions directly. I describe how kChip has been used to reveal patterns in microbial community assembly, unearth minimal microbial combinations with desirable …
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Multigrid Algorithms for Massively Parallel Machines
… the implementation of the multigrid algorithm on massively parallel machines is not very efficient because of (i) low processor utilization and (ii) high communication overheads. These problems need to be addressed to make better use of massively parallel machines for solving <em>pde's</em> using …
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Optimizing Communication for Massively Parallel Processing
In this thesis, we motivate the need for hardware collectives, as processor based collectives can be delayed by intermediate that processors busy with computation. We show the performance gains of a next generation network with hardware collectives, through synthetic benchmarks.
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Tradeoffs in Designing Massively Parallel Accelerator Architectures
We propose a methodology for performing an integrated optimization of both the micro-architecture and the physical circuit design of the cores and caches. In our approach, we use statistical sampling of the design space for evaluating the performance of the micro-architecture and RTL synthesis to …
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High performance histogramming on massively parallel processors
… a histogram is, essentially, the antithesis of parallel processing. Without the use of slow atomic operations or serial execution when contributing data to a histogram bin in an input-driven method, there would likely be inaccuracies in the resulting output. An output-driven method would …
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An evaluation framework for massively parallel accelerator processors
… programming models, and RTL implementation for massively parallel chip multiprocessors (CMPs). The research objective of the Rigel project, designing a prototype thousand-core chip, led to the development of the framework presented in this thesis. I describe the tools and techniques which …
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Analysis of composite ablators using massively parallel computation
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1995.
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Massively Parallel Hidden Markov Models for Wireless Applications
… new approach to spectrum identification using a parallel implementation of Hidden Markov Models. Algorithms involving HMMs are usually implemented in the traditional serial manner, which have prohibitively long runtimes. In this work, we study their use in parallel implementations and compare our …
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Massively parallel analysis of the functional effects of mutations
Massively parallel assays can dramatically advance our understanding of biological processes. Coupling them with modern mutagenesis techniques allows for fine mapping of the link between genotype and phenotype. In this dissertation, I first discuss the current state of the field of using massively …
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Image Processing on Mpp-Like Arrays (Massively Parallel Processor)
… very large arrays of processors such as the Massively Parallel Processor (MPP) for processing remotely sensed images is investigated. The dissertation can be broken into two areas.
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Representing High-Level Knowledge Structures in Massively Parallel Networks
… heuristics and frame-based knowledge structures. Massively parallel networks, on the other hand, have been used mainly to model low-level perceptual processes such as vision, speech, associative memory, and learning. Recent research has started to bridge the gap between these disciplines. …
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Prototyping a scalable massively-parallel supercomputer architecture with FPGAs
Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
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Simulation of massively parallel SIMD architectures using FPGA support
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Beyond the centralized mindset--explorations in massively-parallel microworlds
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1992.
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A Massively Parallel Exact TSP Solver for Small Problem Sizes
… of the search tree, making it challenging to parallelize efficiently, especially for massively parallel GPUs. I implemented the algorithm in CUDA and tested it on GPUs with different compute capabilities. My solver is exact and very fast. It outperforms the CONCORDE and LKH solvers for …
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Visual tracking of highly articulated objects using massively parallel processors
Hand gesture recognition has the potential of simplifying human computer interactions. However, the human hand is a highly articulated object, capable of taking on many different appearances. In this work, we consider an analysis by synthesis approach to this difficult tracking problem. We attempt …
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Cache design exploration in a general purpose massively parallel architecture
… unit's arcitecure. The increased popularity of massively parallel architectures has motivated researchers to further examine the memory model tradeoffs these types of architectures and their target applications present. This thesis will focus on Rigel, a 1024-core, general purpose massively …
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The rise of massively parallel computers in the supercomputer industry
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1990.
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Programming abstractions, compilation, and execution techniques for massively parallel data analysis
… die sich durch sehr generische Abstraktionen für parallelisierbare analytische Programme auszeichnen; MapReduce kann hier beispielhaft genannt werden, als der zweifelsohne prominenteste Vertreter dieser Systeme. Zwar vereinfachte und erschloss diese neue Generation von Systemen die Datenanalyse in …
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