Now showing items 182-201 of 358

    Job scheduling for disaggregated memory in high performance computing systems 

    Vieira Zacarias, Felippe (Date of defense: 2023-10-09)

    (English) In a typical HPC cluster system, a node is the elemental component unit of this architecture. Memory and compute resources are tightly coupled in each node and the rigid boundaries between nodes limits compute ...

    Knowledge aggregation in people recommender systems : matching skills to tasks 

    Nguyen, Jennifer (Date of defense: 2019-11-08)

    People recommender systems (PRS) are a special type of RS. They are often adopted to identify people capable of performing a task. Recommending people poses several challenges not exhibited in traditional RS. Elements such ...

    Knowledge-defined networking : a machine learning based approach for network and traffic modeling 

    Mestres Sugrañes, Albert (Date of defense: 2017-12-12)

    The research community has considered in the past the application of Machine Learning (ML) techniques to control and operate networks. A notable example is the Knowledge Plane proposed by D.Clark et al. However, such ...

    Large scale geostatistics with locally varying anisotropy 

    Peredo Andrade, Oscar Francisco (Date of defense: 2022-06-09)

    Classical geostatistical methods are based on the hypothesis of stationarity, which allows to apply repetitive sampling in different locations of the spatial domain, in order to obtain enough information to infer cumulative ...

    Learning workload behaviour models from monitored time-series for resource estimation towards data center optimization 

    Buchaca Prats, David (Date of defense: 2021-01-14)

    In recent years there has been an extraordinary growth of the demand of Cloud Computing resources executed in Data Centers. Modern Data Centers are complex systems that need management. As distributed computing systems ...

    Leveraging disaggregated accelerators and non-volatile memories to improve the efficiency of modern datacenters 

    Call Barreiro, Aaron (Date of defense: 2022-11-07)

    (English) Traditional data centers consist of computing nodes that possess all the resources physically attached. When there was the need to deal with more significant demands, the solution has been to either add more nodes ...

    Leveraging graph neural networks for optimization and traffic compression in network digital twins 

    Almasan Puscas, Felician Paul (Date of defense: 2023-07-17)

    (English) In recent years, several industry sectors have adapted the Digital Twin (DT) paradigm to improve the performance of physical systems. This paradigm consists of leveraging computational methods to build high-fidelity ...

    Leveraging performance of 3D finite difference schemes in large scientific computing simulations 

    De la Cruz, Raúl (Date of defense: 2015-11-30)

    Gone are the days when engineers and scientists conducted most of their experiments empirically. During these decades, actual tests were carried out in order to assess the robustness and reliability of forthcoming product ...

    Load shedding in network monitoring applications 

    Barlet Ros, Pere (Date of defense: 2008-12-15)

    Monitoring and mining real-time network data streams are crucial operations for managing and operating data networks. The information that network operators desire to extract from the network traffic is of different size, ...

    Loop pipelining with resource and timing constraints 

    Sánchez Carracedo, Fermín (Date of defense: 1996-01-12)

    Developing efficient programs for many of the current parallel computers is not easy due to the architectural complexity of those machines. The wide variety of machine organizations often makes it more difficult to port ...

    Low-cost and efficient fault detection and diagnosis schemes for modern cores 

    Carretero Casado, Javier Sebastian (Date of defense: 2015-11-18)

    Continuous improvements in transistor scaling together with microarchitectural advances have made possible the widespread adoption of high-performance processors across all market segments. However, the growing reliability ...

    Low-power accelerators for cognitive computing 

    Riera Villanueva, Marc (Date of defense: 2020-10-09)

    Deep Neural Networks (DNNs) have achieved tremendous success for cognitive applications, and are especially efficient in classification and decision making problems such as speech recognition or machine translation. Mobile ...

    Low-power architectures for automatic speech recognition 

    Tabani, Hamid (Date of defense: 2018-02-21)

    Automatic Speech Recognition (ASR) is one of the most important applications in the area of cognitive computing. Fast and accurate ASR is emerging as a key application for mobile and wearable devices. These devices, such ...

    Macro- and microscopic analysis of the internet economy from network measurements 

    Mikians, Jakub (Date of defense: 2016-01-20)

    The growth of the Internet impacts multiple areas of the world economy, and it has become a permanent part of the economic landscape both at the macro- and at microeconomic level. On-line traffic and information are currently ...

    Managing dynamic non-uiform cache architectures 

    Lira Rueda, Javier (Date of defense: 2011-11-25)

    Researchers from both academia and industry agree that future CMPs will accommodate large shared on-chip last-level caches. However, the exponential increase in multicore processor cache sizes accompanied by growing on-chip ...

    Managing incentives in community network clouds 

    Khan, Amin M. (Date of defense: 2016-06-21)

    Internet and communication technologies have lowered the costs for communities to collaborate, leading to new services like user-generated content and social computing, and through collaboration, collectively built ...

    Mechanisms for service-oriented resource allocation in IoT 

    Souza, Vitor Barbosa Carlos de (Date of defense: 2018-01-10)

    Albeit several IoT applications have been recently deployed in several fields, including environment and industry monitoring, Smart Home, Smart Hospital and Smart Agriculture, current deployments are mostly host-oriented, ...

    Mechanisms to Reduce Routing Information Inaccuracy Effects: Application to MPLS and WDM Networks 

    Masip Bruin, Xavier (Date of defense: 2003-10-07)

    Les xarxes IP tradicionals utilitzen el model de transmissió "best-effort" per transportar tràfic entre clients de la xarxa. Aquest model de transmissió de tràfic no és el més adequat per les aplicacions en temps real com ...

    Mejora del rendimiento de las aplicaciones Java usando cooperación entre el sistema operativo y la máquina virtual de Java 

    Becerra Fontal, Yolanda (Date of defense: 2006-09-15)

    El uso de los entornos virtualizados de ejecución se ha extendido a todos los ámbitos y, en particular, se está utilizando para el desarrollo y la ejecución de aplicaciones con un alto consumo de recursos. Por lo tanto, ...

    Memory architectures for exaflop computing systems 

    Pavlović, Milan (Date of defense: 2016-02-05)

    Most computing systems are heavily dependent on their main memories, as their primary storage, or as an intermediate cache for slower storage systems (HDDs). The capacity of memory systems, as well as their performance, ...