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 126 for “"High Performance Computing (HPC)"”.
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Green HPC : a system design approach to energy-efficient datacenters
Green HPC is the new standard for High Performance Computing (HPC). This has now become the primary interest among HPC researchers because of a renewed emphasis on Total Cost of Ownership (TCO) and the pursuit of higher performance. Quite simply, the cost of operating modern HPC equipment can …
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Utilising the grid for augmented reality
… platform for AR but also seamlessly deploys High Performance Computing (HPC) resources to deal with the additional computational load, as part of the distributed High Performance Visualization (HPV) pipeline used to render the virtual artifacts. The developed AR framework is then applied to a …
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Low Latency Networking in Virtualized Environments
<p>Beowulf clusters are popular in the field of high performance computing (HPC). Customized operating systems have been used to achieve speedup in HPC by providing specific mechanisms to support the application and by eliminating OS jitter. Virtualized operating systems make it possible to run …
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Development of high-speed P-i-N photodetector for 50Gb/s optical link in data centers
Various emerging applications such as high-performance computing (HPC) have been pushing the speed limit of communication. The growing dependence on the optical interconnect in data centers results from its superiority over traditional electrical interconnects to transmit data at high speed over …
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Design and modeling of high speed P-i-N photodetector for 50 GB/S optical fiber links
High speed optical interconnect holds the key to the future Internet revolution; optical fibers have replaced traditional copper wires over long distances within data centers and high performance computing (HPC) due to their speed and reliability. With the increasing demand for high speed data …
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A container-based lightweight fault tolerance framework for high performance computing workloads
… top 500 supercomputers list, ~90% of the top High Performance Computing (HPC) systems are based on commodity hardware clusters, which are typically designed for performance rather than reliability. The Mean Time Between Failures (MTBF) for some current petascale systems has been reported to be …
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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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Detecting and understanding crash-consistency bugs across the parallel I/O stack
… parallel I/O libraries have been the backbone of high- performance computing (HPC) infrastructures for decades. However, their crash consistency bugs have not been extensively studied, and bug-finding or testing tools for identifying them are lacking. In this dissertation, we developed a generic …
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From detection to optimization: impact of soft errors on high-performance computing applications
As high-performance computing (HPC) continues to progress, constraints on HPC system design forces the handling of errors to higher levels in the software stack. Of the types of errors facing HPC, soft errors that silently corrupt system or application state are among the most severe. The behavior …
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Power Saving Analysis and Experiments for Large Scale Global Optimization
Green computing, an emerging field of research that seeks to reduce excess power consumption in high performance computing (HPC), is gaining popularity among researchers. Research in this field often relies on simulation or only uses a small cluster, typically 8 or 16 nodes, because of the lack of …
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AI-driven methods for resiliency and security assessment: the case for autonomous driving system and HPC storage system
Nowadays, computing systems are used extensively in mission-critical exploration, transportation, scientific study, and manufacturing. With the advances in computation technologies, computing systems have become ever more complex. Due to the system’s complexity, it is increasingly hard for humans …
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robustraster - A Python Software Package To Lower the Barrier of Entry for Large-Scale Geospatial Analysis
… and size, predominantly derived from automated high-resolution remote sensing instruments. As our capacity to generate geospatial data continues to expand, we confront challenges in effectively analyzing these datasets due to their sheer size. Consequently, there arises a pressing need for …
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Towards automatic migration of sequential kernels : Numba to PyKokkos
High performance computing (HPC) frameworks have notably been useful for scientific communities, however, for an average user, leveraging their power can prove to be challenging. Using these highly performant frameworks requires knowledge about computer architectures, familiarity with parallel …
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Optimizing parallel I/O performance of HPC applications
Parallel I/O is an essential component of modern High Performance Computing (HPC). Obtaining good I/O performance for a broad range of applications on diverse HPC platforms is a major challenge, in part because of complex inter-dependencies between I/O middleware and hardware. The parallel file …
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Beyond Monitoring: Proactive Server Preservation in an HPC Environment
… the alert and decidingif and when to act. In a High Performance Computing (HPC) environment, someof these failures can have a ripple effect, affecting a larger area than the physicalproblem. Furthermore, some temperature and load swings can be more drastic in anHPC environment than they would be …
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Accelerating NOvA's Feldman-Cousins procedure using high performance computing platforms
… NOvA and Scientific Discovery through Advanced Computing: High Energy Physics Data Analytics (SciDAC-4) collaborations, have implemented the FC procedure utilizing the High Performance Computing (HPC) facilities at the National Energy Research Scientific Computing Center (NERSC). With this …
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Software Testing of Parallel Programming Frameworks
… frameworks rapidly evolve to meet the performance demands of High Performance Computing (HPC) applications and the concurrent evolution of supercomputing class system architectures. To meet this demand, standards and specifications that outline the semantics and required capabilities of …
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Physical modeling and high-performance GPU computing for characterization, interception, and disruption of hazardous near-Earth objects
… process. This is done by applying ideas in high-performance computing (HPC) on the computer graphics processing unit (GPU). Rather than prove a concept through large standalone simulations on a supercomputer, a highly parallel structure allows for flexible, target dependent questions to be …
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Implementing a Tiled Singular Value Decomposition: A Framework for Tiled Linear Algebra in Julia
High-performance computing (HPC) is essential for scientific research, enabling complex simulations and analyses across various fields. However, the specialized knowledge required to utilize HPC effectively can be a barrier for many scientists. This work introduces a hardware-agnostic, large-scale …
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I/O Throughput Prediction for HPC Applications Using Darshan Logs
As most High Performance Computing (HPC) applications deal with large volumes of data, I/O performance is of critical importance to optimize application performance. Despite having large-scale, high-performance parallel file systems, many applications still suffer from poor I/O performance. …
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