Universitat Politècnica de Catalunya
Mostrando ítems 104-123 de 361
Energy efficiency and performance improvements have been two of the major concerns of current Data Centers. With the advent of Big Data, more information is generated year after year, and even the most aggressive predictions ...
Large scale computing infrastructures need scalable and effi cient resource allocation mechanisms to ful l the requirements of its participants and applications while the whole system is regulated to work e ciently. ...
Electromagnetic methods (EM) are an invaluable research tool in geophysics whose relevance has increased rapidly in recent years due to its wide industrial adoption. In particular, the forward modelling of three-dimensional ...
Network monitoring has become a necessity to aid in the management and operation of large networks. Passive network monitoring consists of extracting metrics (or any information of interest) by analyzing the traffic that ...
(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 ...
Nowadays, we are reaching a point where further improving single thread performance can only be done at the expenses of significantly increasing power consumption. Thus, multi-core chips have been adopted by the industry ...
Nowadays clusters are one of the most used platforms in High Performance Computing and most programmers use the Message Passing Interface (MPI) library to program their applications in these distributed platforms getting ...
Mobile devices have become ubiquitous and their ever evolving capabilities are bringing them closer to personal computers. Nonetheless, due to their mobility and small size factor constraints, they still present many ...
Els models computacionals del cor són una eina important que pot donar als investigadors biomèdics una font addicional d’informació per entendre el funcionament del miocardi. Els models numèrics poden ajudar a interpretar ...
Hardware and software complexity of future critical real-time systems challenges the scalability of traditional timing analysis methods. Measurement-Based Probabilistic Timing Analysis (MBPTA) has recently emerged as an ...
Significant breakthroughs in the last decade in the Machine Learning (ML) field have ushered in a new era of Artificial Intelligence (AI). Particularly, recent advances in Deep Learning (DL) have enabled to develop a new ...
In the late 1990s, powerful economic forces led to the adoption of commodity desktop processors in High-Performance Computing(HPC). This transformation has been so effective that the November 2016 TOP500 list is still ...
5G marks the beginning of a deep revolution in the mobile network ecosystem, transitioning to a network of services to satisfy the demands of new players, the vertical industries. This revolution implies a redesign of the ...
In Wireless Multimedia Sensor Networks (WMSNs) the lifetime of battery operated visual nodes is limited by their energy consumption, which is proportional to the energy required for sensing, processing, and transmitting ...
In 2013, U.S. data centres accounted for 2.2% of the country's total electricity consumption, a figure that is projected to increase rapidly over the next decade. A significant proportion of power consumed within a data ...
The need for energy conservation, grid reliability, and improved operational efficiencies have led to the changes from conventional electricity grids which have “blind” and manual operations, along with the electromechanical ...
Deep Learning algorithms have been remarkably successful in applications such as Automatic Speech Recognition and Machine Translation. Thus, these kinds of applications are ubiquitous in our lives and are found in a plethora ...
The design of mobile GPUs is all about saving energy. Smartphones and tablets are battery-operated and thus any type of rendering needs to use as little energy as possible. Furthermore, smartphones do not include sophisticated ...
La arquitectura de las redes de transporte actuales está basada en la tecnología de transporte SDH (Synchronous Digital Hierarchy). Las redes SDH se han diseñado y están optimizadas básicamente para el transporte del tráfico ...
Clustering analysis is widely used to stratify data in the same cluster when they are similar according to the specific metrics. We can use the cluster analysis to group the CPU burst of a parallel application, and the ...
