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 81 for “"parallel computation"”.
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Communication and Synchronization in Parallel Computation
… communication and synchronization overheads in parallel algorithms executing on shared memory multiprocessors.
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Parallel computation : synchronization, scheduling, and schemes.
Thesis. 1979. Ph.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
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Isotropic graphs with applications to parallel computation
… of expanding graphs and their applications to parallel computation. In particular, we consider explicit construction techniques, based on finite fields, that provide graphs which exhibit good expansion properties at low densities and can be efficiently implemented. These techniques are related …
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Using Cilk for parallel computation in MATLAB
Thesis (S.B. M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
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Run-time parallelization: A framework for parallel computation
The goal of parallelizing, or restructuring, compilers is to detect and exploit parallelism in sequential programs written in conventional languages. Current parallelizing compilers do a reasonable job of extracting parallelism from programs with regular, statically analyzable access patterns. …
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The mesh of trees architecture for parallel computation
… as both a special-purpose and a general-purpose parallel computer. A family of special-purpose VLSI architectures for computing an ($n\sb1 \times n\sb2 \times \cdots \times n\sb{d}$)-point multidimensional DFT over $\doubz\sb{M}$, the ring of integers modulo $M$, is proposed. Using the …
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Weld : fast data-parallel computation on modern hardware
… language and runtime that can run data-parallel computations efficiently on modern hardware. The core of Weld is a novel intermediate language (IL) that is expressive enough to capture common data-parallel applications (e.g., SQL, graph analytics and machine learning) while being easy to …
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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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Efficient parallel computation on multiprocessors with optical interconnection networks
… their architecture, address schemes, and computation and communication capabilities. We focus on a simple but powerful optical interconnection network model - the Linear Array with Reconfigurable pipelined Bus System (LARPBS). We extend the LARPBS model to a simplified higher dimensional …
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Combinatorial Optimization On Massive Datasets: Streaming, Distributed, And Massively Parallel Computation
… for various problems in different modern computational models for processing massive datasets, in particular, streaming, distributed, and massively parallel computation (such as MapReduce) models. The first part of this thesis is focused on graph optimization, in which we study several …
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Monte Carlo Methods in Practice and Efficiency Enhancements via Parallel Computation
… to developing algorithms that mix well, have low computational complexity and can scale up to large datasets. One of the most commonly used and straightforward approaches is to speed up Monte Carlo algorithms by running them in parallel computing environments. The compute time of Monte Carlo …
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Effective parallel computation on workstation cluster with a user-level communication network
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Parallel computation in efficient non-linear finite element analysis with applications to soft-ground tunneling project
… source of uncertainty in these analyses. Massive computational efforts make more comprehensive 3-D models of the construction sequence completely impractical using existing finite element software with direct or iterative solver methods.
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Ab initio study of the Si(111)-(7x7) surface reconstruction : a challenge for massively parallel computation
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 1993.
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Parallel computing on geostatistical data using CUDA
… those analyses can be accelerated by applying parallel computing using modern GPUs. The highly parallel structure makes modern GPUs more effective than general-purpose CPUs for algorithms where processing of large blocks of data is done in parallel. In our study, we compared the performance …
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Parallel algorithms for convex hulls and proximity problems
Computational geometry is concerned with the algorithmic aspects of solving geometric problems. The problems are motivated from and have application to such diverse areas as computer graphics, robotics, computer vision, and operations research. Problems arising from these areas of application are …
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ALE and CEL formulations of pile installation in sand
… the potential influence of pore water, and high computation cost. This work presents a a sophisticated numerical model which addresses the aforementioned aspects. A key feature of the numerical model is the capability to simulate potential pile tip damage during the installation process. Then …
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Scalable Gaussian Processes: Advances in Iterative Methods and Pathwise Conditioning
Driven by advances in hardware for massively-parallel computation, machine learning models trained on large amounts of data have become capable of accomplishing complex tasks, such as generating realistic images or maintaining conversations in natural language. However, the inability to know when …
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Real-time Prediction of Dynamic Systems Based on Computer Modeling
… The proposed DTFLOP modeling classifies the computation into the sequential computation, which is conducted on the CPU, and the parallel computation, which is performed on the GPU and formulates the data transmission between the CPU and the GPU using the parameters of the memory access speed …
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Generative and Discriminative Models in Phase Transition Prediction
… of the system, accessible data amounts, and computation resources of the experiments, these methods exhibit different accuracy and efficiency. This study aims to comprehensively compare six methods for predicting critical temperatures in the Ising lattice. Leveraging Julia’s capabilities will …
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