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 446 for “"High Performance Computing"”.
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Portable and productive high-performance computing
Performance portability of computer programs, and programmer productivity in writing them are key expectations in software engineering. These expectations lead to the following questions: Can programmers write code once, and execute it at optimal speed on any machine configuration? Can programmers …
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Machine learning for high performance computing applications
… Learning (ML) techniques to problems in the High Performance Computing (HPC) domain. The ML techniques included clustering, various types of regression, a recommendor system, and reinforcement learning using proximal policy optimization. Included are three different advancements applying …
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High performance computing for multiphase fluid flows
Multiphase fluid flows are very common in engineering and science applications. Examples include air ow on water surface, metallurgical flow and blood flow in the body. In these flows, fluids are separated by a sharp interface and form different phases. The flow is characterized by the movement of …
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High-performance computing with PetaBricks and Julia
… numerical algorithms in new approaches for high-performance computing. PetaBricks is an implicitly parallel language that allows programmers to naturally express algorithmic choice explicitly at the language level. The PetaBricks compiler and autotuner is not only able to compose a complex …
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One-Sided Communication for High Performance Computing Applications
… is presented, which provides a number of unique performance features necessary for efficient use of the one-sided programming paradigm.
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On Communication-Computation Overlap in High-Performance Computing
… and cores per node have increased many fold on high end computer systems over the last decade. For a parallel application to scale to tens or even hundreds of thousands of processes, all non-computing related operations have to be kept at an absolute minimum, including communication operations. …
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Grid and high performance computing applied to bioinformatics
… have led to the use of distributed and parallel computing infrastructures for their analysis. In this context Grid computing has been successfully used. Grid computing is based on a distributed system which interconnects several computers and/or clusters to access global-scale resources. This …
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Disk I/O in High-Performance Computing Systems
There exists an increasing disparity between the performance of high-performance computers and disk I/O systems. This divergence in performance signifies that the I/O system will become an increasing bottleneck in future computer systems. With such a bottleneck, a program's execution time on these …
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Just in time compilation for high performance computing
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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A reconfigurable accelerator card for high performance computing
… to carry out research into reconfigurable computing. Our accelerator design is an expansion card for a traditional Von Neumann host machine, and contains two field-programmable gate arrays. By inserting the card into a host machine, intrinsically parallel processing tasks can be exported to …
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Models and Techniques for Green High-Performance Computing
High-performance computing (HPC) systems have become power limited. For instance, the U.S. Department of Energy set a power envelope of 20MW in 2008 for the first exascale supercomputer now expected to arrive in 2021--22. Toward this end, we seek to improve the greenness of HPC systems by improving …
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Microwave Tomography Using Stochastic Optimization And High Performance Computing
… thesis discusses the application of parallel computing in microwave tomography for detection and imaging of dielectric objects. The main focus is on microwave tomography with the use of a parallelized Finite Difference Time Domain (FDTD) forward solver in conjunction with non-linear stochastic …
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Soviet advanced technology: The case of high-performance computing.
This study uses Soviet high-performance computing (HPC) as a vehicle to study technological innovation, organizational transformation, and the R&D of advanced technologies in centralized-directive economies in the past and during periods of transition. Case studies are used to identify the factors …
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Techniques for efficient high performance computing in the cloud
… offered by virtualization make cloud computing an attractive option for meeting the needs of some High Performance Computing (HPC) users, especially those with emerging or sporadic demands. ""Computing or Infrastructure as a service"" model in cloud has tremendous potential of …
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High-performance computing for smart grid analysis and optimization
… to these attacks. STLF systems have demonstrated high accuracy and have been widely employed for commercial use. However, classic load forecasting systems, which are based on statistical methods, are vulnerable to training data poisoning. We build and implement a first-of-its-kind data poisoning …
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Using High-Performance Computing to Scale Generative Adversarial Networks
… such as mode collapse. We aim to improve the performance and accuracy of the Lipizzaner GAN framework by taking advantage of its distributed nature and running it at very large scales. Lipizzaner was implemented for robustness, but has not been tested at scale in high performance …
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Statistical Methods for Variability Management in High-Performance Computing
High-performance computing (HPC) variability management is an important topic in computer science. Research topics include experimental designs for efficient data collection, surrogate models for predicting the performance variability, and system configuration optimization. Due to the complex …
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On the Use of Containers in High Performance Computing
… such data analysis is also being utilized in the high performance computing (HPC) domain, the need for container support in HPC has become paramount. However, container adoption in HPC face crucial performance and I/O challenges. One obstacle is that while there have been container solutions for …
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