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20212024
most citedA methodology to automatically optimize dynamic memory managers applying grammatical evolution

17 citations · 50 across the 6 of their papers we have counts for

collaborators

6 papers

cs.OS2024★ 8 cited

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…

cs.AR2024★ 8 cited

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…

cs.AR2024★ 17 cited

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…

cs.AR2024★ 17 cited

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…

cs.LG2023

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…

q-bio.QM2021

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…