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.
Results
Showing 1 to 20 of 235 for “"computing power"”.
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Efficient cross-silo federated learning using a computing power-aware scheduler
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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Efficient cross-silo federated learning using a computing power-aware scheduler
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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SIFT feature extraction on a Smartphone GPU using OpenGL ES2.0
… but also require considerable amount of computing power. GPUs offer a significant amount of untapped computing power that can help increase performance and improve user experience. We explore the feasibility of parallel heterogeneous computing on current generation of Smartphone. We show …
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Automated Syndromic Surveillance using Intelligent Mobile Agents
… are neither scalable in storage space nor in computing power. Such systems are limited in the amount of syndromic data that may be collected and analyzed for the early detection of infectious disease outbreaks. However, with the increased prevalence of international travel, public health …
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Data reduction and knot removal for non-uniform B-spline surfaces
… can contain very large quantities of data. The computing power required by a CAD system for visualization and analysis is directly influenced by these large amounts of data. Accordingly, a method for reducing the amount of data in a geometric model while maintaining accuracy is needed to reduce …
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Courting Serendipity: The Search for Transient Radio Signals
… radio frequency interference (RFI) and limited computing power. Today, a confluence of new RFI mitigation techniques and computing power makes a thorough census of the radio sky a realistic goal. A complete transient survey could uncover, in addition to entirely new classes of sources, radio …
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Architectural and Software Support for Executing Numerical Applications on High Performance Computers
Numerical applications require large amounts of computing power. Although shared memory multiprocessors provide a cost-effective platform for parallel execution of numerical programs, parallel processing has not delivered the expected performance on these machines. There are two crucial steps in …
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PARAMETERS THAT AFFECT PARALLEL PROCESSING FOR COMPUTATIONAL ELECTROMAGNETIC SIMULATION CODES ON HIGH PERFORMANCE COMPUTING CLUSTERS
… or desktops for their research and they need computing power to run computational software packages. Computing power was initially derived from Central Processing Unit (CPU) clock speed. That changed when increases in clock speed became constrained by power requirements. Chip manufacturers …
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Quality of Service and Optimization in Data Integration Systems
… for query processing operations, and computing power.
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Interconnection networks and data prefetching for large-scale multiprocessors: Design and performance
Increasing computing power demands higher memory performance than ever before, and memory access becomes a more serious bottleneck in high-performance computer systems. Therefore, reducing memory access latency or hiding the latency is crucial to achieving high performance. In shared memory …
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Predicting the Acoustic Response of the Golf Club & Ball Impact Using Finite Elements and the Boundary Element Method
… methods in LS-DYNA®. The simulation time and computing power required for the impact are modest, while the acoustic simulation time and computing power are much greater. The Rayleigh method provides an alternative which can greatly reduce these requirements. The simulation of sound produced …
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FleXilicon: a New Coarse-grained Reconfigurable Architecture for Multimedia and Wireless Communications
High computing power and flexibility are important design factors for multimedia and wireless communication applications due to the demand for high quality services and frequent evolution of standards. The ASIC (Application Specific Integrated Circuit) approach provides an area efficient, high …
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Reinforcement Learning assisted Adaptive difficulty of Proof of Work (PoW) in Blockchain-enabled Federated Learning
… the significance of considering miners' computing power and resources in PoW consensus mechanisms to enhance efficiency and fairness. It explores the implications of heterogeneity in blockchain mining in various applications, such as Federated Learning (FL), which aims to train machine …
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Parallel algorithms for test generation and fault simulation
… heuristics or by using the tremendous computing power available on multiprocessors thus becomes important. The design and analysis of parallel algorithms for test generation and fault simulation are the focus of this thesis research.
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Towards efficient, on-demand and automated deep learning
… and many others. The advanced and dedicated computing chips, like Nvidia GPU and Google TPU, largely contributed and broadened this success. However, the requirement of large computing power impedes the deployment of deep learning methods in many real scenarios, where cost, time and energy …
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A low latency algorithm for the simulation of a binary distillation column using a spreadsheet
Increases in the run speed of readily available computing resources has significantly improved the performance of distillation design and simulation algorithms. Presented here is an algorithm for the simulation of a binary distillation column with a near instantaneous response of the output …
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Development of a Distributed Simulation Cluster for MOOS-IvP
… during off hours, thus increasing the average computing power.
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Deep Learning for Identifying Breast Cancer
… doctors. Therefore, the use of super storage and computing power in deep learning as a basis can effectively process a large amount of medical data. Breast cancer brings great harm to female patients, and early diagnosis is the most effective prevention and treatment method, so this project will …
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A hybrid direct-iterative linear solver for chemical process simulation
… complex, and realistic models requiring the computing power of high performance machines. The objective is carried out by combining the reliability of direct sparse linear methods (e.g., Gaussian elimination) with the efficiency of iterative sparse linear methods (e.g., Krylov subspace …
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Accelerating Gauss-Newton filters on FPGA's
… time. However, with the exponential increases in computing power since then, it is now possible to reconsider more heavy-weight, robust algorithms such as the original nonrecursive Gauss-Newton filter on which the Kalman filter is based. This dissertation investigates the acceleration of such a …
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