Publications by José Luis Risco Martin

Definition Of A Transparent Constraint-Based Modeling And Simulation Layer For The Management Of Complex Systems

Marina Zapater Sancho, Kevin Henares Vilaboa, José Luis Risco Martin

Modeling and Simulation (M&S) is one of the most multifaceted topics present today in both industry and academia. However, we are involved in a new M&S paradigm. Systems are becoming more complex and new simulation needs arise and have to be studied. As a ...

IEEE2019

Simulation of High-Performance Memory Allocators

David Atienza Alonso, José Luis Risco Martin

This study presents a single-core and a multi-core processor architecture for health monitoring systems where slow biosignal events and highly parallel computations exist. The single-core architecture is composed of a processing core (PC), an instruction m ...

Elsevier2011

A Parallel Evolutionary Algorithm to Optimize Dynamic Memory Managers in Embedded Systems

David Atienza Alonso, José Luis Risco Martin

For the last 30 years, several dynamic memory managers (DMMs) have been proposed. Such DMMs include first fit, best fit, segregated fit and buddy systems. Since the performance, memory usage and energy consumption of each DMM differs, software engineers of ...

Elsevier2010

Simulation of High-Performance Memory Allocators

David Atienza Alonso, José Luis Risco Martin

Current general-purpose memory allocators do not provide sufficient speed or flexibility for modern highperformance applications. To optimize metrics like performance, memory usage and energy consumption, software engineers often write custom allocators fr ...

IEEE Press2010

Improving Reliability of Embedded Systems through Dynamic Memory Manager Optimization using Grammatical Evolution

David Atienza Alonso, José Luis Risco Martin

Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy consumption. However, scaling also brings a number of problems like reliability degradation mechanisms. The intensive act ...

ACM Press2010

Particle Swarm Optimization of Memory usage in Embedded Systems

David Atienza Alonso, José Luis Risco Martin

In this paper, we propose a dynamic, non-dominated sorting, multi-objective particle-swarm-based optimizer, named Hierarchical Non-dominated Sorting Particle Swarm Optimizer (H-NSPSO), for memory usage optimization in embedded systems. It significantly red ...

2009

Mixed Heuristic and Mathematical Programming Using Reference Points for Dynamic Data Types Optimization in Multimedia Embedded Systems

David Atienza Alonso, José Luis Risco Martin

New multimedia embedded applications are becoming increasingly dynamic. Thus, they cannot only rely on static data allocation, and must employ Dynamically-allocated Data Types (DDTs) to store their data and efficiently use the limited physical resources of ...

ACM Press2009

Optimization of Dynamic Memory Managers for Embedded Systems Using Grammatical Evolution

David Atienza Alonso, José Luis Risco Martin

New portable consumer embedded devices must execute multimedia applications (e.g., 3D games, video players and signal processing software, etc.) that demand extensive memory accesses and memory usage at a low energy consumption. Moreover, they must heavily ...

ACM Press2009

Optimization Methodology of Dynamic Data Structures Based on Genetic Algorithms for Multimedia Embedded Systems

David Atienza Alonso, José Luis Risco Martin

Modern multimedia application exhibit high resource utilization. In order to efficiently run this kind of applications in embedded systems, the dynamic memory subsystem needs to be optimized. A key role in this optimization is played by the dynamic data st ...

2009

A Parallel Evolutionary Algorithm to Optimize Dynamic Data Types in Embedded Systems

David Atienza Alonso, José Luis Risco Martin

New multimedia embedded applications are increasingly dynamic, and rely on dynamically-allocated data types (DDTs) to store their data. The optimization of DDTs for each target embedded system is a time-consuming process due to the large searching space of ...

2008