Searched for: subject%3A%22Computer%255C+architecture%22
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Shahroodi, T. (author)
Modern applications like Genomics and Machine Learning (ML) hold the potential to reshape our understanding of diseases’ genetic origins and guide machines in executing tasks and making predictions without our explicit programming. The successful, widespread integration of these modern applications can usher in advancements in di-agnostics,...
doctoral thesis 2024
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Bolscher, Thijs (author)
As the Moon reemerges as a renewed fronteer in space exploration, the Lunar Zebro project proposes to deploy a swarm of miniature rovers for efficient lunar surface exploration. One of their goals is to leverage recent advancements in deep learning and AI-accelerating hardware, in conjunction with Commercial Off-The-Shelf technologies and the...
master thesis 2024
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Murti, Fahri Wisnu (author), Ali, Samad (author), Iosifidis, G. (author), Latva-aho, Matti (author)
Virtualized Radio Access Networks (vRANs) are fully configurable and can be implemented at a low cost over commodity platforms to enable network management flexibility. In this paper, a novel vRAN reconfiguration problem is formulated to jointly reconfigure the functional splits of the base stations (BSs), locations of the virtualized central...
journal article 2024
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Zahedi, M.Z. (author)
Computation-in-Memory (CIM) is a promising alternative to traditional computing systems where the storage is conceptually separated fromthe computing units. Instead, the CIM paradigm aims to perform the computation where the data resides, alleviating the memory bottleneck and ultimately leading to higher energy efficiency and performance. From...
doctoral thesis 2023
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Hu, Zhewen (author)
Over the last decade, applications like self-driving, image recognition and speech processing are having more and more impact on the society, all these applications are based on machine learning, and machine learning is all about metrics and vectors. For that reason, vector processors are getting attraction again.<br/><br/>Most of the previous...
master thesis 2023
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Wang, X. (author), Baldi, S. (author), Feng, Xuewei (author), Wu, Changwei (author), Xie, Hongwei (author), De Schutter, B.H.K. (author)
The vector field method was originally proposed to guide a single fixed-wing Unmanned Aerial Vehicle (UAV) towards a desired path. In this work, a non-uniform vector field method is proposed that changes in both magnitude and direction, for the purpose of achieving formations of UAVs. As compared to related work in the literature, the...
journal article 2023
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Abdellatif, Alaa Awad (author), Mhaisen, N. (author), Mohamed, Amr (author), Erbad, Aiman (author), Guizani, Mohsen (author)
The rise of chronic disease patients and the pandemic pose immediate threats to healthcare expenditure and mortality rates. This calls for transforming healthcare systems away from one-on-one patient treatment into intelligent health systems, leveraging the recent advances of Internet of Things and smart sensors. Meanwhile, reinforcement...
journal article 2023
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Moposita, Tatiana (author), Garzon, Esteban (author), Crupi, Felice (author), Trojman, Lionel (author), Vladimirescu, A. (author), Lanuzza, Marco (author)
This brief deals with the impact of spin-transfer torque magnetic random access memory (STT-MRAM) cell based on double-barrier magnetic tunnel junction (DMTJ) on the performance of a two-layer multilayer perceptron (MLP) neural network. The DMTJ-based cell is benchmarked against the conventional single-barrier MTJ (SMTJ) counterpart by means...
journal article 2023
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Nowroozi, Ehsan (author), Mohammadi, Mohammadreza (author), Savas, Erkay (author), Mekdad, Yassine (author), Conti, M. (author)
In the past few years, Convolutional Neural Networks (CNN) have demonstrated promising performance in various real-world cybersecurity applications, such as network and multimedia security. However, the underlying fragility of CNN structures poses major security problems, making them inappropriate for use in security-oriented applications,...
journal article 2023
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Bandic, M. (author), Prielinger, L.P. (author), Nublein, Jonas (author), Ovide, Anabel (author), Rodrigo, Santiago (author), van Someren, J. (author), Vardoyan, G.S. (author), Almudever, Carmen G. (author), Feld, S. (author)
Modular quantum computing architectures are a promising alternative to monolithic QPU (Quantum Processing Unit) designs for scaling up quantum devices. They refer to a set of interconnected QPUs or cores consisting of tightly coupled quantum bits that can communicate via quantum-coherent and classical links. In multi-core architectures, it is...
conference paper 2023
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Yan, Pumiao (author), Akhoundi, A. (author), Shah, Nishal P. (author), Tandon, Pulkit (author), Muratore, D.G. (author), Chichilnisky, E. J. (author), Murmann, Boris (author)
Future high-density and high channel count neural interfaces that enable simultaneous recording of tens of thousands of neurons will provide a gateway to study, restore and augment neural functions. However, building such technology within the bit-rate limit and power budget of a fully implantable device is challenging. The wired-OR...
journal article 2023
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van den Ham, Pieter (author)
Computer architectures with weak memory models, such as ARMv8 and ARMv7, allow memory accesses to be reordered in many situations.<br/>Therefore, weak memory models may cause a program to exhibit more behavior than a strong memory model, such as x86.<br/>Fency is a static analysis tool that inserts memory fences to ensure that a program exhibits...
master thesis 2022
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Sun, Chen (author)
The prosperity of the Internet-of-Things (IoT) imposes increasing demand on endpoint microcontroller-based devices' performance and energy efficiency. The MCUs are demanded to process the raw data acquired from the sensors with the integer-based workload, such as digital signal processing (DSP) algorithms and quantized neural network (QNN)...
master thesis 2022
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Feringa, J. (author)
The presented research addresses the question of how to bridge the divide between academic research and industry in the domain of by investigating aspects of computational design , robotic fabrication and their impact on practice via a series of experiments and case studies. Research sub-questions related to the architectural model , geometry...
doctoral thesis 2022
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Keijzer, T. (author), Gallo, A.J. (author), Ferrari, Riccardo M.G. (author)
In this paper we present a hierarchical scheme to detect cyber-attacks in a hierarchical control architecture for large-scale interconnected systems (LSS). We consider the LSS as a network of physically coupled subsystems, equipped with a two-layer controller: on the local level, decentralized controllers guarantee overall stability and...
conference paper 2022
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Batina, Lejla (author), Bhasin, Shivam (author), Jap, Dirmanto (author), Picek, S. (author)
This paper was selected for Top Picks in Hardware and Embedded Security 2020 and it presents a physical side-channel attack aiming at reverse engineering neural networks implemented on an edge device. The attack does not need access to training data and allows for neural network recovery by feeding known random inputs. We successfully reverse...
journal article 2022
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Shen, Y. (author), Bootsman, R.J. (author), Alavi, S.M. (author), de Vreede, L.C.N. (author)
This article presents a wideband 2× 12 -bit direct-digital RF modulator (DDRM) operating in a 0.5-to-3-GHz band for 5G transmitters. The proposed digital Cartesian modulator features an advanced IQ-mapping technique to boost RF power by 3 dB and suppress the I/Q image. To verify the proposed concept, a 40-nm CMOS prototype is implemented...
journal article 2022
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Rudge, Zacharia (author)
With recent breakthroughs in AI and deep learning, applying these techniques to on-board computers for space applications has grown in interest to engineers on space applications. The space field brings its own challenges, such as reliability and power restrictions. The proposed solution in this work concerns a neuromorphic accelerator for a...
master thesis 2021
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Fumagalli, Andrea (author)
The current housing market in the Netherlands depicts a need for energy-efficient buildings for young professionals. Performative Computational Architecture (PCA), as computational methodology, is a valuable source of knowledge and design support to integrate the buildings’ performances at early stages. By applying PCA, this thesis explores and...
master thesis 2020
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Kroes, Mairin (author)
Convolutional Neural Network (CNN) inference has gained a significant amount of traction for performing tasks like speech recognition and image classification. To improve the accuracy with which these tasks can be performed, CNNs are typically designed to be deep, encompassing a large number of neural network layers. As a result, the...
master thesis 2020
Searched for: subject%3A%22Computer%255C+architecture%22
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