Searched for: subject%3A%22scalability%22
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van der Noort, Rover (author)
Edge AI is an architectural deployment tactic that brings AI models closer to the user and data, relieving internet bandwidth usage and providing low latency and privacy. It remains unclear how this tactic performs at scale, since the distribution overhead could impact the total energy consumption. We identify four architectural scalability...
master thesis 2024
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Eickhoff, Jerrit (author)
Online gaming is the world’s largest entertainment industry by revenue, and supports over 3 billion consumers worldwide. Many of the world’s most popular online games must manage millions of concurrent players through a single unified service. Achieving performant and scalable online games is challenging. Online games are subject to stringent...
master thesis 2024
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Karskens, Samuel (author)
Abundance estimation with the use of environmental samples has been used during the SARS-CoV-2 pandemic to identify the abundances of different lineages. AmpliDiff, an algorithm that tries to find parts of DNA that can differentiate between different input genomes was used on a SARS-CoV-2 dataset to find these amplicons. The AmpliDiff algorithm...
bachelor thesis 2024
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Muthusubramanian, N. (author), Finkel, M. (author), Duivestein, W.J. (author), Zachariadis, C. (author), van der Meer, S.L.M. (author), Veen, H.M. (author), Beekman, M.C. (author), Stavenga, T. (author), Bruno, A. (author), DiCarlo, L. (author)
We investigate die-level and wafer-scale uniformity of Dolan-bridge and bridgeless Manhattan-style Josephson junctions, using multiple substrates with and without through-silicon vias (TSVs). Dolan junctions fabricated on planar substrates have the highest yield and lowest room-temperature conductance spread, equivalent to ∼ 100 M H z in...
journal article 2024
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Balzani, Daniel (author), Heinlein, A. (author), Klawonn, Axel (author), Knepper, Jascha (author), Nurani Ramesh, Sharan (author), Rheinbach, Oliver (author), Saßmannshausen, Lea (author), Uhlmann, Klemens (author)
A computational framework is presented to numerically simulate the effects of antihypertensive drugs, in particular calcium channel blockers, on the mechanical response of arterial walls. A stretch-dependent smooth muscle model by Uhlmann and Balzani is modified to describe the interaction of pharmacological drugs and the inhibition of smooth...
journal article 2024
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Meng, Weihao (author), Kragt, A.J.J. (author), Gao, Yingtao (author), Brembilla, E. (author), van der Burgt, Julia S. (author), Schenning, Albertus P.H.J. (author), Klein, T. (author), van den Ham, E.R. (author), Wang, Jingxia (author)
The adaptive control of sunlight through photochromic smart windows could have a huge impact on the energy efficiency and daylight comfort in buildings. However, the fabrication of inorganic nanoparticle and polymer composite photochromic films with a high contrast ratio and high transparency/low haze remains a challenge. Here, a solution...
journal article 2024
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Chen, J. (author), Dwarka, V.N.S.R. (author), Vuik, Cornelis (author)
The Helmholtz equation is related to seismic exploration, sonar, antennas, and medical imaging applications. It is one of the most challenging problems to solve in terms of accuracy and convergence due to the scalability issues of the numerical solvers. For 3D large-scale applications, high-performance parallel solvers are also needed. In this...
journal article 2024
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Miedema, Rene (author), Strydis, C. (author)
IntroductionIn-silico simulations are a powerful tool in modern neuroscience for enhancing our understanding of complex brain systems at various physiological levels. To model biologically realistic and detailed systems, an ideal simulation platform must possess: (1) high performance and performance scalability, (2) flexibility, and (3) ease of...
journal article 2024
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van den Eeden, Lars (author)
The Internet of Things industry is expanding rapidly. However, many security breaches occur, and privacy is often at stake in traditional IoT networks. These centralized systems will not be able to cope with dynamically changing environments. In light of these risks, it is crucial to prevent and minimize the chances of attacks occurring....
bachelor thesis 2023
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Reed, Robert (author), Laurenti, L. (author), Lahijanian, Morteza (author)
Deep Kernel Learning (DKL) combines the representational power of neural networks with the uncertainty quantification of Gaussian Processes. Hence, it is potentially a promising tool to learn and control complex dynamical systems. In this letter, we develop a scalable abstraction-based framework that enables the use of DKL for control...
journal article 2023
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Xu, F. (author), Hajibeygi, H. (author), Sluys, Lambertus J. (author)
In fractured geological formations, as a result of the in-situ stress changes, fractures can propagate or slide. This phenomenon can be efficiently modeled by the extended finite element method (XFEM) when there are only a few fractures present. However, geological reservoirs contain many fractures which can also cross and are densely...
journal article 2023
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Cheruiyot, Elijah (author), Mito, Collins (author), Menenti, M. (author)
This work presents an improved gravimetric algorithm to derive reference soil moisture, with removal of some of the hypothesis on which its original expression was based, and addition of a new corrective term that takes into account the interdependence between temperature and non-unitary water density. The temperature correction term improves...
journal article 2023
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Mesbah, Sepideh (author), Arous, Ines (author), Yang, J. (author), Bozzon, A. (author)
Evaluating design ideas is necessary to predict their success and assess their impact early on in the process. Existing methods rely either on metrics computed by systems that are effective but subject to errors and bias, or experts' ratings, which are accurate but expensive and long to collect. Crowdsourcing offers a compelling way to...
conference paper 2023
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Latorre, Alejandro (author), Soeiro, Thiago B. (author), Geertsma, R.D. (author), Coraddu, A. (author), Polinder, H. (author)
This article gives an overview of challenges in primary distribution, protections, and power scalability for shipboard dc systems. Given that dc technology is in development, several aspects of shipboard systems have not yet been sufficiently devised to ensure the protection and efficiency demanded. Several issues in dc systems arise from the...
journal article 2023
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Ovide, Anabel (author), Rodrigo, Santiago (author), Bandic, M. (author), van Someren, J. (author), Feld, S. (author), Abadal, Sergi (author), Alarcon, Eduard (author), Almudever, Carmen G. (author)
Current monolithic quantum computer architectures have limited scalability. One promising approach for scaling them up is to use a modular or multi-core architecture, in which different quantum processors (cores) are connected via quantum and classical links. This new architectural design poses new challenges such as the expensive inter-core...
conference paper 2023
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Yamazaki, Ichitaro (author), Heinlein, A. (author), Rajamanickam, Sivasankaran (author)
The generalized Dryja–Smith–Widlund (GDSW) preconditioner is a two-level overlapping Schwarz domain decomposition (DD) preconditioner that couples a classical one-level overlapping Schwarz preconditioner with an energy-minimizing coarse space. When used to accelerate the convergence rate of Krylov subspace iterative methods, the GDSW...
conference paper 2023
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Alarcon, Eduard (author), Abadal, Sergi (author), Sebastiano, F. (author), Babaie, M. (author), Charbon-Iwasaki-Charbon, E. (author), Bolivar, Peter Haring (author), Palesi, Maurizio (author), Staszewski, R.B. (author), Almudever, Carmen G. (author)
The grand challenge of scaling up quantum computers requires a full-stack architectural standpoint. In this position paper, we will present the vision of a new generation of scalable quantum computing architectures featuring distributed quantum cores (Qcores) interconnected via quantum-coherent qubit state transfer links and orchestrated via...
conference paper 2023
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Ganeshpure, D.A. (author), Soeiro, Thiago B. (author), Gagic, Mladen (author), Ghaffarian Niasar, M. (author), Bauer, P. (author), Vaessen, P.T.M. (author)
To test high-voltage (HV) equipment with increasingly complex transients obtained from various power system studies, this article demonstrates a hardware implementation of a medium-voltage (MV) submodule (SM) to be used in a modular multilevel converter (MMC)-based HV arbitrary wave shape generator (AWG). The MV SM is scalable with its own...
journal article 2023
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Iosup, Alexandru (author), Prodan, Radu (author), Varbanescu, Ana Lucia (author), Talluri, Sacheendra (author), Magalhaes, Gilles (author), Hokstam, Kailhan (author), Zwaan, Hugo (author), van Beek, V.S. (author), Farahani, Reza (author)
Our society is increasingly digital, and its processes are increasingly digitalized. As an emerging technology for the digital society, graphs provide a universal abstraction to represent concepts and objects, and the relationships between them. However, processing graphs at a massive scale raises numerous sustainability challenges; becoming...
conference paper 2023
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Zhou, Zhao (author), Verburg, R.M. (author)
Little is known about the role of product features in shaping market orientation as most research focuses on organizational features, such as interdepartmental connectedness, centralization in the strategy formation process, and the nature of top management teams. In this study we draw on the theory of resource orchestration and hypothesize that...
journal article 2023
Searched for: subject%3A%22scalability%22
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