Luis Costero

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 18

Top Topics

Boosted Classifiers

Reinforcement Learning

Top Venues

IPDPS Workshops

Publications

Luis Costero, Francisco D. Igual, Katzalin Olcoz, Francisco Tirado
Energy efficiency optimization of task-parallel codes on asymmetric architectures. CoRR (2024)
Youssef Faqir-Rhazoui, Luis Costero, Carlos García
Balancing Energy Efficiency and Portability: Assessing Domain-Specific Languages in Edge Platforms. DCOSS-IoT (2024)
Jennifer Hernández Bécares, Luis Costero, Pedro Pablo Gómez-Martín
An approach to automated videogame beta testing. CoRR (2024)
Alberto Corpas, Luis Costero, Guillermo Botella, Francisco D. Igual, Carlos García, Manuel Rodríguez
Acceleration and energy consumption optimization in cascading classifiers for face detection on low-cost ARM big.LITTLE asymmetric architectures. CoRR (2024)
Darong Huang, Luis Costero, Ali Pahlevan, Marina Zapater, David Atienza
CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. IEEE Trans. Sustain. Comput. 9 (4) (2024)
Luis Costero, Francisco D. Igual, Katzalin Olcoz, Francisco Tirado
Leveraging knowledge-as-a-service (KaaS) for QoS-aware resource management in multi-user video transcoding. CoRR (2024)
Darong Huang, Luis Costero, Ali Pahlevan, Marina Zapater, David Atienza
CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. CoRR (2023)
John S. Villarrubia, Luis Costero, Francisco D. Igual, Katzalin Olcoz
Improving inference time in multi-TPU systems with profiled model segmentation. PDP (2023)
Luis Costero, Francisco D. Igual, Katzalin Olcoz
Dynamic power budget redistribution under a power cap on multi-application environments. Sustain. Comput. Informatics Syst. 38 (2023)
Pablo Hernández, Luis Costero, Katzalin Olcoz, Francisco D. Igual
Applying Game-Learning Environments to Power Capping Scenarios via Reinforcement Learning. JCC-BD&ET (2022)
Darong Huang, Ali Pahlevan, Luis Costero, Marina Zapater, David Atienza
Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (12) (2022)
Luis Costero, Francisco D. Igual, Katzalin Olcoz, Francisco Tirado
Leveraging knowledge-as-a-service (KaaS) for QoS-aware resource management in multi-user video transcoding. J. Supercomput. 76 (12) (2020)
Luis Costero, Arman Iranfar, Marina Zapater, Francisco D. Igual, Katzalin Olcoz, David Atienza
Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. 31 (12) (2020)
Luis Costero, Arman Iranfar, Marina Zapater, Francisco D. Igual, Katzalin Olcoz, David Atienza
MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding. DATE (2019)
Alberto Corpas, Luis Costero, Guillermo Botella, Francisco D. Igual, Carlos García, Manuel Rodríguez
Acceleration and energy consumption optimization in cascading classifiers for face detection on low-cost ARM big. LITTLE asymmetric architectures. Int. J. Circuit Theory Appl. 46 (9) (2018)
Luis Costero, Francisco D. Igual, Katzalin Olcoz, Francisco Tirado
Energy Efficiency Optimization of Task-Parallel Codes on Asymmetric Architectures. HPCS (2017)
Luis Costero, Francisco D. Igual, Katzalin Olcoz, Sandra Catalán, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
Revisiting conventional task schedulers to exploit asymmetry in multi-core architectures for dense linear algebra operations. Parallel Comput. 68 (2017)
Luis Costero, Francisco D. Igual, Katzalin Olcoz, Sandra Catalán, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
Refactoring Conventional Task Schedulers to Exploit Asymmetric ARM big.LITTLE Architectures in Dense Linear Algebra. IPDPS Workshops (2016)
Luis Costero, Francisco D. Igual, Katzalin Olcoz, Enrique S. Quintana-Ortí
Revisiting Conventional Task Schedulers to Exploit Asymmetry in ARM big.LITTLE Architectures for Dense Linear Algebra. CoRR (2015)