Departament d'Arquitectura de Computadors: Enviaments recents
Ara es mostren els items 1-12 de 361
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Towards resilient wireless networks: mesh backhauls for 5G ultra-dense networks and rural Internet service provision
(Universitat Politècnica de Catalunya, 2024-02-22)
Tesi
Accés obert(English) This thesis aims to investigate the efficacy and applicability of Wireless Backhaul Network (WBN) in two divergent contexts: ultra-dense urban networks for 5G and connectivity solutions for rural or digitally ... -
Smart and efficient sensor networks operation for 5G and beyond ecosystems
(Universitat Politècnica de Catalunya, 2024-01-30)
Tesi
Accés obert(English) Sensor Networks (SN) will play an integral role in Beyond 5G (B5G) ecosystems, especially for highly-distributed use cases and services such as Digital Twins (DT). Thus, the underlying transport network needs to ... -
Multi-agent graph learning-based optimization and its applications to computer networks
(Universitat Politècnica de Catalunya, 2024-03-15)
Tesi
Accés obert(English) In the wake of a digital revolution, contemporary society finds itself entrenched in an era where network applications' demands surpass the capabilities of conventional network management solutions. This dissertation ... -
A double full-stack architecture for multi-core quantum computers
(Universitat Politècnica de Catalunya, 2023-12-18)
Tesi
Accés obert(English) Despite its tremendous potential, it is still unclear how quantum computing will scale to satisfy the requirements of its most powerful applications. Continued progress in the fabrication and control of qubits ... -
Efficient hardware acceleration of deep neural networks via arithmetic complexity reduction
(Universitat Politècnica de Catalunya, 2023-10-26)
Tesi
Accés obert(English) Over the past decade, significant progresses in the field of artificial intelligence have led to remarkable advancements in a wide range of technologies. Deep learning, a subfield of machine learning centered ... -
Acceleration of automatic speech recognition for low-power devices
(Universitat Politècnica de Catalunya, 2022-11-09)
Tesi
Accés obert(English) In this thesis, we study the challenges preventing ASR deployment on edge devices and propose innovations to tackle them, hopefully moving the technology a step forward to the future. First, we characterize ... -
Job scheduling for disaggregated memory in high performance computing systems
(Universitat Politècnica de Catalunya, 2023-10-09)
Tesi
Accés obert(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 ... -
Deep learning for spatio-temporal forecasting: benchmarks, methods, and insights from mobility and weather predictions
(Universitat Politècnica de Catalunya, 2023-10-30)
Tesi
Accés obert(English) This thesis explores the intersection of deep learning and spatio-temporal forecasting, focusing on the challenges and opportunities present in applying machine learning methods to predict complex geospatial and ... -
Adapting floating-point precision to accelerate deep neural network training
(Universitat Politècnica de Catalunya, 2023-10-18)
Tesi
Accés obert(English) Deep Neural Networks (DNNs) have become ubiquitous in a wide range of application domains. Despite their success, training DNNs is an expensive task which has motivated the use of reduced numerical precision ... -
Advanced hardware prefetching in virtual memory systems
(Universitat Politècnica de Catalunya, 2023-09-12)
Tesi
Accés obert(English) Despite groundbreaking technological innovations, the disparity between processor and memory speeds (known as Memory Wall) is still a major performance obstacle for modern systems. Hardware prefetching is a ... -
Software diagnostics for autonomous safety-critical control-systems based on artificial intelligence
(Universitat Politècnica de Catalunya, 2023-07-18)
Tesi
Accés obert(English) Machine Learning (ML) systems allow the efficient implementation of functionalities that can be hard to program by traditional software due to the high spectrum of inputs that hinder the definition of a specific ... -
Convergence of high performance computing, big data, and machine learning applications on containerized infrastructures
(Universitat Politècnica de Catalunya, 2023-07-17)
Tesi
Accés obert(English) The convergence of High Performance Computing (HPC), Big Data (BD), and Machine Learning (ML) in the computing continuum is being pursued in earnest across the academic and industry. We envision virtualization ...