13 documents found, page 1 of 2
A Change of Paradigm for the Design and Reliability Testing of Touch-Based Cabi...
Custódio, Tiago; Alves, Cristiano; Silva, Pedro; Silva, Jorge; Rodrigues, Carlos; Lourenço, Rui; Pessoa, Rui; Moreira, Fernando; Marques, RicardoThe current design paradigm of car cabin components assumes seats aligned with the driving direction. All passengers are aligned with the driver that, until recently, was the only element in charge of controlling the vehicle. The new paradigm of self-driving cars eliminates several of those requirements, releasing the driver from control duties and creating new opportunities for entertaining the passengers duri...
SmartPlastic: Innovative Touch-Based Human-Vehicle Interface Sensors for the Au...
Alves, Cristiano; Custódio, Tiago; Silva, Pedro; Silva, Jorge; Rodrigues, Carlos; Lourenço, Rui; Pessoa, Rui; Moreira, Fernando; Marques, RicardoEnvironmental concern regularly leads to the study and improvement of manufacturing processes and the development of new industrial products. The purpose of this work is to optimize the amount of injected plastic and reduce the number of parts used in the production of entrance panels to control features inside the car cabin. It focuses on a particular case study, namely the control of opening and closing windo...
Hyperspectral Parallel Image Compression on Edge GPUs
Ferraz, Óscar; Silva, Vitor; Falcao, GabrielEdge applications evolved into a variety of scenarios that include the acquisition and compression of immense amounts of images acquired in space remote environments such as satellites and drones, where characteristics such as power have to be properly balanced with constrained memory and parallel computational resources. The CCSDS-123 is a standard for lossless compression of multispectral and hyperspectral im...
Heterogeneous Implementation of a Voronoi Cell-Based SVP Solver
Falcao, Gabriel; Cabeleira, Filipe; Mariano, Artur; Paulo Santos, LuisThis paper presents a new, heterogeneous CPUCGPU attacks against lattice-based (postquantum) cryptosystems based on the Shortest Vector Problem (SVP), a central problem in lattice-based cryptanalysis. To the best of our knowledge, this is the rst SVP-attack against lattice-based cryptosystems using CPUs and GPUs simultaneously.We show that Voronoi-cell based CPUCGPU attacks, algorithmically improved in previous...
Pragma-Oriented Parallelization of the Direct Sparse Odometry SLAM Algorithm
Pereira, C.; Falcao, Gabriel; Alexandre, LuísMonocular 3D reconstruction is a challenging computer vision task that becomes even more stimulating when we aim at real-time performance. One way to obtain 3D reconstruction maps is through the use of Simultaneous Localization and Mapping (SLAM), a recurrent engineering problem, mainly in the area of robotics. It consists of building and updating a consistent map of the unknown environment and, simultaneously,...
Distributed Learning of CNNs on Heterogeneous CPU/GPU Architectures
Marques, José; Falcao, Gabriel; Alexandre, LuísConvolutional Neural Networks (CNNs) have shown to be powerful classi cation tools in tasks that range from check reading to medical diagnosis, reaching close to human perception, and in some cases surpassing it. However, the problems to solve are becoming larger and more complex, which translates to larger CNNs, leading to longer training times|the computational complex part|that not even the adoption of Graph...
A Practical View of the State-of-the-Art of Lattice-Based Cryptanalysis
Mariano, Artur; Laarhoven, Thijs; Correia, Fabio; Rodrigues, Manuel; Falcao, GabrielThis paper describes the lattice problems that are key in the study of lattice-based cryptography, identi es and categorizes methods for solving these problems, analyzes existing implementations of these algorithms, and extrapolates on the future of lattice-based cryptanalysis, based on the foreseeable advances in computer architecture. Some future lines ofwork are given, considering the existence of parallel a...
Design Space Exploration of LDPC Decoders Using High-Level Synthesis
Andrade, João; George, Nithin; Karras, Kimon; Novo, David; Prata, Frederico; Sousa, Leonel; Ienne, Paolo; Falcao, Gabriel; Silva, VitorToday, high-level synthesis (HLS) tools are being touted as a means to perform rapid prototyping and shortening the long development cycles needed to produce hardware designs in register transfer level (RTL). In this paper, we attempt to verify this claim by testing the productivity bene ts offered by current HLS tools by using them to develop one of the most important and complex processing blocks of modern so...
Energy-Efficient and Portable Least Squares Prediction for Image Coding on a Mo...
Cordeiro, Pedro; Falcao, Gabriel; Domingues, Patrício; Rodrigues, Nuno; Faria, SergioLeast squares prediction is a technique used to foresee pixel values during image coding by finding the minimum square error of neighbouring pixels. It has shown considerable quality gains especially for complex images with high variations in pixel intensities. The drawback of this technique consists of high computational complexity, consuming the most significant part of processing time and resources available...
On the Evaluation of Energy-Efficient Deep Learning Using Stacked Autoencoders ...
Falcao, Gabriel; Alexandre, Luís; Marques, J.; Frazão, Xavier; Maria, J.Over the last years, deep learning architectures have gained attention by winning important international detection and classification challenges. However, due to high levels of energy consumption, the need to use low-power devices at acceptable throughput performance is higher than ever. This paper tries to solve this problem by introducing energy efficient deep learning based on local training and using low-p...