Programa de Doctorat en Arquitectura de Computadors: Recent submissions
Now showing items 81-100 of 260
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, ...
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 ...
Development and management of collective network and cloud computing infrastructures
In the search and development of more participatory models for infrastructure development and management, in this dissertation, we investigate models for the financing, deployment, and operation of network and cloud computing ...
Crowd simulation and visualization
Large-scale simulation and visualization are essential topics in areas as different as sociology, physics, urbanism, training, entertainment among others. This kind of systems requires a vast computational power and memory ...
Scalable processing of aggregate functions for data streams in resource-constrained environments
The fast evolution of data analytics platforms has resulted in an increasing demand for real-time data stream processing. From Internet of Things applications to the monitoring of telemetry generated in large datacenters, ...
Ultra low-power, high-performance accelerator for speech recognition
Automatic Speech Recognition (ASR) is undoubtedly one of the most important and interesting applications in the cutting-edge era of Deep-learning deployment, especially in the mobile segment. Fast and accurate ASR comes ...
Evaluation of STT-MRAM main memory for HPC and real-time systems
It is questionable whether DRAM will continue to scale and will meet the needs of next-generation systems. Therefore, significant effort is invested in research and development of novel memory technologies. One of the ...
Exploiting task-based programming models for resilience
Hardware errors become more common as silicon technologies shrink and become more vulnerable, especially in memory cells, which are the most exposed to errors. Permanent and intermittent faults are caused by manufacturing ...
Synthetic biology guidelines for diffusion based molecular communication
Nanotechnology is widely seen as having huge potential to bring benefits to many areas of research and application. Nowadays, research studies are focusing on realizing nano-machines on the order of nanometers in size. A ...
