17 citations · 50 across the 6 of their papers we have counts for
6 papers
Simulation of high-performance memory allocators
José L. Risco-Martín, J. Manuel Colmenar, David Atienza +1
For the last thirty years, a large variety of memory allocators have been proposed. Since performance, memory usage and energy consumption of each memory allocator differs, softwar…
Real Time Evolvable Hardware for Optimal Reconfiguration of Cusp-Like Pulse Shapers
Juan Lanchares, Oscar Garnica, José L. Risco-Martín +3
The design of a cusp-like digital pulse shaper for particle energy measurements requires the definition of four parameters whose values are defined based on the nature of the shape…
A methodology to automatically optimize dynamic memory managers applying grammatical evolution
José L. Risco-Martín, J. Manuel Colmenar, J. Ignacio Hidalgo +2
Modern consumer devices must execute multimedia applications that exhibit high resource utilization. In order to efficiently execute these applications, the dynamic memory subsyste…
Thermal-Aware Floorplanner for 3D IC, including TSVs, Liquid Microchannels and Thermal Domains Optimization
David Cuesta, José L. Risco-Martín, José L. Ayala +1
3D stacked technology has emerged as an effective mechanism to overcome physical limits and communication delays found in 2D integration. However, 3D technology also presents sever…
Patterns Detection in Glucose Time Series by Domain Transformations and Deep Learning
J. Alvarado, J. Manuel Velasco, F. Chávez +2
People with diabetes have to manage their blood glucose level to keep it within an appropriate range. Predicting whether future glucose values will be outside the healthy threshold…
A Critical Review of the state-of-the-art on Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes
Felix Tena, Oscar Garnica, Juan Lanchares +1
This article compares ten recently proposed neural networks and proposes two ensemble neural network-based models for blood glucose prediction. All of them are tested under the sam…