Departament d'Arquitectura de Computadors: Enviaments recents
Ara mostrant els elements 61-80 de 364
Runtime-assisted optimizations in the on-chip memory hierarchy
Following Moore's Law, the number of transistors on chip has been increasing exponentially, which has led to the increasing complexity of modern processors. As a result, the efficient programming of such systems has become ...
Low-power accelerators for cognitive computing
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 ...
Adaptive learning-based resource management strategy in fog-to-cloud
Technology in the twenty-first century is rapidly developing and driving us into a new smart computing world, and emerging lots of new computing architectures. Fog-to-Cloud (F2C) is among one of them, which emerges to ...
Mobility-aware mechanisms for fog node discovery and selection
The recent development of delay-sensitive applications has led to the emergence of the fog computing paradigm. Within this paradigm, computation nodes present at the edge of the network can act as fog nodes (FNs) capable ...
Programming models to support data science workflows
Data Science workflows have become a must to progress in many scientific areas such as life, health, and earth sciences. In contrast to traditional HPC workflows, they are more heterogeneous; combining binary executions, ...
Enabling knowledge-defined networks : deep reinforcement learning, graph neural networks and network analytics
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 ...
Exploiting frame coherence in real-time rendering for energy-efficient GPUs
The computation capabilities of mobile GPUs have greatly evolved in the last generations, allowing real-time rendering of realistic scenes. However, the desire for processing complex environments clashes with the ...
Security strategies in genomic files
There are new mechanisms to sequence and process the genomic code, discovering thus diagnostic tools and treatments. The file for a sequenced genome can reach hundreds of gigabytes. Thus, for further studies, we need new ...
Virtualization techniques for memory resource exploitation
Cloud infrastructures have become indispensable in our daily lives with the rise of cloud-based services offered by companies like Facebook, Google, Amazon and many others. These cloud infrastructures use a large numbers ...
Exploring the topical structure of short text through probability models : from tasks to fundamentals
Recent technological advances have radically changed the way we communicate. Today’s communication has become ubiquitous and it has fostered the need for information that is easier to create, spread and consume. As a ...
An extensive study on iterative solver resilience : characterization, detection and prediction
Soft errors caused by transient bit flips have the potential to significantly impactan applicalion's behavior. This has motivated the design of an array of techniques to detect, isolate, and correct soft errors using ...
Ambient intelligence in buildings : design and development of an interoperable Internet of Things platform
During many years, people and governments have been warned about the increasing levels of pollution and greenhouse gases (GHG) emissions that are endangering our lives on this planet. The Information and Communication ...
On the limits of probabilistic timing analysis
Over the last years, we are witnessing the steady and rapid growth of Critica! Real-Time Embedded Systems (CRTES) industries, such as automotive and aerospace. Many of the increasingly-complex CRTES' functionalities that ...
Improving decision tree and neural network learning for evolving data-streams
High-throughput real-time Big Data stream processing requires fast incremental algorithms that keep models consistent with most recent data. In this scenario, Hoeffding Trees are considered the state-of-the-art single ...
Hardware/software co-design for data-intensive genomics workloads
Since the last decade, the main components of computer systems have been evolving, diversifying, to overcome their physical limits and to minimize their energy footprint. Hardware specialization and heterogeneity have ...
Data center's telemetry reduction and prediction through modeling techniques
Nowadays, Cloud Computing is widely used to host and deliver services over the Internet. The architecture of clouds is complex due to its heterogeneous nature of hardware and is hosted in large scale data centers. To ...
Communication reduction techniques in numerical methods and deep neural networks
Inter-node communication has turned out to be one of the determining factors of the performance on modern HPC systems. Furthermore, the situation only gets worse with the ever-incresing size of the cores involved. Hence, ...
Knowledge aggregation in people recommender systems : matching skills to tasks
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 ...
Security architecture for Fog-To-Cloud continuum system
Nowadays, by increasing the number of connected devices to Internet rapidly, cloud computing cannot handle the real-time processing. Therefore, fog computing was emerged for providing data processing, filtering, aggregating, ...
ConOps for a safe integration of multi-RPAS operations in civil airspace
The gradual integration of remotely piloted aircraft systems (RPAS) in civil airspace, sharing airways with commercial flights, is expected to be completed once the legal issues and those regarding the unmanned traffic ...
