Buscar
Harvesting Energy in ILUPACK via Slack Elimination
(2017-07-05)
We develop a new energy-aware methodology to improve the energy
consumption of a task-parallel preconditioned Conjugate Gradient iter-
ative solver on a Haswell-EP Intel Xeon. This technique leverages the
power-saving ...
A Multilevel Road Alignment Model for Spatial-Query-by-Sketch
(MDPI, 2020-11-01)
A sketch map represents an individual’s perception of a specific location. However, the information in sketch maps is often distorted and incomplete. Nevertheless, the main roads of a given location often exhibit considerable ...
A benchmarking study on single image dehazing techniques for underwater autonomous vehicles
(IEEE, 2017-06)
Enhancing the underwater images is of utmost importance for autonomous underwater vehicles. This kind of robots usually have to deal with highly degraded images from which it is extremely difficult to accurately find, ...
Autonomous underwater grasping using multi-view laser reconstruction
(IEEE, 2017-06)
Autonomous manipulation in underwater scenarios is a highly complex task which is still poorly studied, but with a growing interest in the last years. Two of the main phases of this problem are the detection and characterization ...
Argobots: A Lightweight Low-Level Threading and Tasking Framework
(IEEE, 2017-10)
In the past few decades, a number of user-level threading and tasking models have been proposed in the literature to address the shortcomings of OS-level threads, primarily with respect to cost and flexibility. Current ...
Fast Algorithms for the Computation of the Minimum
Distance of a Random Linear Code
(Association for Computing Machinery (ACM), 2019-06)
The minimum distance of an error-correcting code is an important concept in information theory. Hence, computing the minimum distance of a code with a minimum computational cost is crucial to many problems in this area. ...
A Smart Peri-Urban I2V Architecture for Dynamic Rerouting
(IEEE, 2018-04)
Traffic congestion increases CO2 emissions, fuel consumption and travel times. These increases are related to the evolution of the growth in urban areas. Urban areas are being transforming into smart cities, that is, they ...
Vision for Robust Robot Manipulation
(MDPI, 2019)
Advances in Robotics are leading to a new generation of assistant robots working in
ordinary, domestic settings. This evolution raises new challenges in the tasks to be accomplished by
the robots. This is the case for ...
BestOf: an online implementation selector for the training and inference of deep neural networks
(Springer, 2022-05-20)
Tuning and optimising the operations executed in deep learning frameworks is a fundamental task in accelerating the processing of deep neural networks (DNNs). However, this optimisation usually requires extensive manual ...
DMR API: Improving cluster productivity by turning applications into malleable
(Elsevier, 2018)
Adaptive workloads can change on–the–fly the configuration of their jobs, in terms of
number of processes. To carry out these job reconfigurations, we have designed a methodology which enables a job to communicate with ...