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 42 for “"Performance engineering"”.
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Control Network Performance Engineering
… und Fehlerdiagnose zu einem Control Network Performance Engineering kombiniert, welches die Qualitätsbewertung und -beratung nahtlos und ohne Mehraufwand in den Netzwerkentwurf integriert. (Die Dissertation wurde veröffentlicht im Jörg Vogt Verlag, Voglerstr. 20, 01277 Dresden, Internet: …
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Performance Engineering of Modular Symbols
… Our implementation applies the principles of performance engineering to this computational number theory problem, and MFSplit is at least 3 times faster than existing implementations. Consequently, we were able to compute information about newform subspaces for level N ≤ 50000, extending …
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Performance Engineering of Reactive Molecular Dynamics Simulations
… CPU or GPU. This thesis presents analysis and performance optimization of the widely used LAMMPS ReaxFF implementations. I analyze the performance characteristics of the USER-REAXC, USER-OMP, and Kokkos implementations in LAMMPS, profiling and describing bottlenecks in each. I then provide …
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Performance engineering of the StarLogo Nova Execution Engine
… optimizes the StarLogo Nova Execution Engine for performance, consistently beating the previous engine and bringing the execution time per cycle for key benchmarks under 10 milliseconds.
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High Performance Engineering Polymers: Design, Properties, and Performance
The facile synthesis of engineering thermoplastics enabled the development of structure-morphology-property relationships for a wide range of applications. Utilizing step-growth polymerization techniques, a myriad of reaction conditions probed various polymer families including polysulfones, …
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Multiscale design of supermaterials: frontier for high-performance engineering
Actualmente, hay una falta de herramientas computacionales para predecir el daño sufrido por los materiales nanoestructurados y su comportamiento en condiciones de trabajo severas como las que se esperan en las paredes de las cámaras de reacción en fusión nuclear o el blindaje de los satélites …
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ScaleGPS: Scalable Graph Parallel Sampling via Data-centric Performance Engineering
… sampling framework, ScaleGPS, to support high performance graph sampling on huge graphs in a single machine with a CPU and a GPU. The key idea is to cooperatively employ data caching and compression to reduce memory footprint and data movement overhead, and thus achieve high performance and …
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Performance engineering of multicore software : developing a science of fast code for the post-Moore era
… need to be able to write fast code. Software performance engineering offers great promise to provide computer performance gains in the post-Moore era, but developing efficient software today requires substantial expertise and arcane knowledge of hardware and software systems. Multicore …
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Performance Engineering of Directional Message-Passing Algorithms Through a Stencil-Based Approach for Applications in Molecular Dynamics
The molecular dynamics method, used by scientists across the fields of physics, materials science, and biology, is an increasingly popular way to simulate particle interactions. Current implementations of molecular dynamics simulators can verify macromolecular structures, examine atomic-level …
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Security and Performance Engineering of Scalable Cognitive Radio Networks. Sensing, Performance and Security Modelling and Analysis of ’Optimal’ Trade-offs for Detection of Attacks and Congestion Control in Scalable Cognitive Radio Networks
… without considering the impact of sensing on the performance and security of CRNs. Sensing is essential for secondary users (SUs) to get hold of free band without interfering with the signal generated by primary users (PUs). However, excessive sensing time for the detection of free spectrum for …
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Defining scalable high performance programming with DEF
Performance engineering is performed in languages that are close to the machine, especially C and C++, but these languages have little native support for concurrency. We're deep into the multicore era of computer hardware, however, meaning that scalability is dependent upon concurrent data …
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Cilkpride : always-on visualizations for parallel programming
… important way for programmers to squeeze more performance out of their programs. Parallelization is error-prone, however, and programmers often forget to run error checkers and performance analyzers regularly. This thesis presents Cilkpride, an IDE plug-in that uses always-on visualizations to …
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Model driven communication protocol engineering and simulation based performance analysis using UML 2.0
The automated functional and performance analysis of communication systems specified with some Formal Description Technique has long been the goal of telecommunication engineers. In the past SDL and Petri nets have been the most popular FDT's for the purpose. With the growth in popularity of UML …
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The Taichi High-Performance and Differentiable Programming Language for Sparse and Quantized Visual Computing
… languages such as C++ and CUDA, writing high-performance visual computing code is often laborious and requires deep expertise in performance engineering. This implies an undesirable trade-off between performance and productivity. Emerging visual computing workloads such as sparse data …
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Structure-property behavior of polyimide homopolymers, copolymers, and blends
… polyimides are well suited for such high performance engineering applications due to their excellent thermal and mechanical properties, their typical intractability in the fully imidized state has been a serious limitation. Therefore, this research has specifically focused upon several …
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The crystallisation of Poly (aryl ether etherketone) (PEEK) and its carbon fibre composites
… ether ketone (PEEK) is a semi-crystalline, high-performance engineering polymer whose properties can be enhanced through fibre reinforcement. The properties of PEEK and its composites are sensitive to changes in the crystalline content and morphology, which are influenced by the processing …
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Improving predictability of cell culture processes during biologics manufacturing scale-up through hybrid modeling
… an algorithmic approach to better predict the performance of a production bioreactor at commercial scale. A hybrid modeling approach is explored using historical process data and calculated equipment engineering features that characterize the bioreactors at each scale. The study reveals that …
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Theory and Applications of Matrix Completion in Genomics Datasets
… our contributions through the auxiliary lens of performance engineering and develop concrete algorithms for accurate, performant, and intuitive biological imputation.
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Performance benchmarking, analysis, and optimization of deep learning inference
… different application domains. This has made the performance benchmarking, understanding, and optimization of DL inference an increasingly pressing task for both hardware designers and system providers, as they would like to offer the best possible computing system to serve DL models with the …
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Reduced-Order Modeling and Design Optimization of Thermomechanical Shape Memory Alloy-Based Bistable Microactuators and Hyperelastic Material Systems
… behavior while further improving computational performance. Overall, the dissertation provides robust and efficient numerical tools for simulating advanced material systems and contributes to the development of high-performance engineering applications.
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