Luis Costero - RankMe

36 papers A 1B 1C 2Journal 28Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A comprehensive evaluation of spatial co-execution on GPUs using MPS and MIG technologies. J. Supercomput. Jorge Villarrubia, Luis Costero, Francisco D. Igual, Katzalin Olcoz
2026	J	`jnl`	QAFHE: A QoS-Aware Framework for Heterogeneous and Dynamic Edge-to-Cloud Kubernetes Deployments. Int. J. Networked Distributed Comput. Julián Cámara-Miró, Luis Costero, Francisco D. Igual
2026	J	`jnl`	Solving the task scheduling and GPU reconfiguration problem on MIG devices via deep reinforcement learning. Future Gener. Comput. Syst. Jorge Villarrubia, Luis Costero, Francisco D. Igual, Katzalin Olcoz
2025	J	`jnl`	3D-ICE 4.0: Accurate and efficient thermal modeling for 2.5D/3D heterogeneous chiplet systems. CoRR Kai Zhu, Darong Huang, Luis Costero, David Atienza
2025	J	`jnl`	A 20-Year Retrospective on Power and Thermal Modeling and Management. CoRR David Atienza, Kai Zhu, Darong Huang, Luis Costero
2025	J	`jnl`	A 20-Year Retrospective on Power and Thermal Modeling and Management. IEEE Des. Test David Atienza, Kai Zhu, Darong Huang, Luis Costero
2025	J	`jnl`	Balanced segmentation of CNNs for multi-TPU inference. CoRR Jorge Villarrubia, Luis Costero, Francisco D. Igual, Katzalin Olcoz
2025	J	`jnl`	Balanced segmentation of CNNs for multi-TPU inference. J. Supercomput. John S. Villarrubia, Luis Costero, Francisco D. Igual, Katzalin Olcoz
2025	J	`jnl`	CloudFormer: An Attention-based Performance Prediction for Public Clouds with Unknown Workload. CoRR Amirhossein Shahbazinia, Darong Huang, Luis Costero, David Atienza
2025	J	`jnl`	Improving inference time in multi-TPU systems with profiled model segmentation. CoRR Jorge Villarrubia, Luis Costero, Francisco D. Igual, Katzalin Olcoz
2025	J	`jnl`	Leveraging Multi-Instance GPUs through moldable task scheduling. CoRR Jorge Villarrubia, Luis Costero, Francisco D. Igual, Katzalin Olcoz
2025	J	`jnl`	Leveraging Multi-Instance GPUs through moldable task scheduling. J. Parallel Distributed Comput. Jorge Villarrubia, Luis Costero, Francisco D. Igual, Katzalin Olcoz
2025	J	`jnl`	Motivando el uso y aprendizaje de Bash a través de concursos de programación. CoRR Luis Costero, Jorge Villarrubia, Francisco D. Igual
2025	C	`conf`	QoS-aware workload scheduling on heterogeneous and dynamic edge-to-cloud deployments. PDP Julián Cámara-Miró, Luis Costero, Francisco D. Igual
2024	J	`jnl`	Acceleration and energy consumption optimization in cascading classifiers for face detection on low-cost ARM big.LITTLE asymmetric architectures. CoRR Alberto Corpas, Luis Costero, Guillermo Botella, Francisco D. Igual, Carlos García, Manuel Rodríguez
2024	J	`jnl`	An Evaluation Framework for Dynamic Thermal Management Strategies in 3D MultiProcessor System-on-Chip Co-Design. IEEE Trans. Parallel Distributed Syst. Darong Huang, Luis Costero, David Atienza
2024	J	`jnl`	An approach to automated videogame beta testing. CoRR Jennifer Hernández Bécares, Luis Costero, Pedro Pablo Gómez-Martín
2024	—	`conf`	Balancing Energy Efficiency and Portability: Assessing Domain-Specific Languages in Edge Platforms. DCOSS-IoT Youssef Faqir-Rhazoui, Luis Costero, Carlos García
2024	J	`jnl`	CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. IEEE Trans. Sustain. Comput. Darong Huang, Luis Costero, Ali Pahlevan, Marina Zapater, David Atienza
2024	J	`jnl`	Energy efficiency optimization of task-parallel codes on asymmetric architectures. CoRR Luis Costero, Francisco D. Igual, Katzalin Olcoz, Francisco Tirado
2024	J	`jnl`	Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads. ACM Trans. Archit. Code Optim. Qunyou Liu, Darong Huang, Luis Costero, Marina Zapater, David Atienza
2024	B	`conf`	Is the powersave governor really saving power? CCGrid Darong Huang, Luis Costero, David Atienza
2024	J	`jnl`	Leveraging knowledge-as-a-service (KaaS) for QoS-aware resource management in multi-user video transcoding. CoRR Luis Costero, Francisco D. Igual, Katzalin Olcoz, Francisco Tirado
2023	J	`jnl`	CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. CoRR Darong Huang, Luis Costero, Ali Pahlevan, Marina Zapater, David Atienza
2023	J	`jnl`	Dynamic power budget redistribution under a power cap on multi-application environments. Sustain. Comput. Informatics Syst. Luis Costero, Francisco D. Igual, Katzalin Olcoz
2023	C	`conf`	Improving inference time in multi-TPU systems with profiled model segmentation. PDP Jorge Villarrubia, Luis Costero, Francisco D. Igual, Katzalin Olcoz
2022	—	`conf`	Applying Game-Learning Environments to Power Capping Scenarios via Reinforcement Learning. JCC-BD&ET Pablo Hernández, Luis Costero, Katzalin Olcoz, Francisco D. Igual
2022	J	`jnl`	Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Darong Huang, Ali Pahlevan, Luis Costero, Marina Zapater, David Atienza
2020	J	`jnl`	Leveraging knowledge-as-a-service (KaaS) for QoS-aware resource management in multi-user video transcoding. J. Supercomput. Luis Costero, Francisco D. Igual, Katzalin Olcoz, Francisco Tirado
2020	J	`jnl`	Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. Luis Costero, Arman Iranfar, Marina Zapater, Francisco D. Igual, Katzalin Olcoz, David Atienza
2019	A	`conf`	MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding. DATE Luis Costero, Arman Iranfar, Marina Zapater, Francisco D. Igual, Katzalin Olcoz, David Atienza
2018	J	`jnl`	Acceleration and energy consumption optimization in cascading classifiers for face detection on low-cost ARM big. LITTLE asymmetric architectures. Int. J. Circuit Theory Appl. Alberto Corpas, Luis Costero, Guillermo Botella, Francisco D. Igual, Carlos García, Manuel Rodríguez
2017	—	`conf`	Energy Efficiency Optimization of Task-Parallel Codes on Asymmetric Architectures. HPCS Luis Costero, Francisco D. Igual, Katzalin Olcoz, Francisco Tirado
2017	J	`jnl`	Revisiting conventional task schedulers to exploit asymmetry in multi-core architectures for dense linear algebra operations. Parallel Comput. Luis Costero, Francisco D. Igual, Katzalin Olcoz, Sandra Catalán, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
2016	—	`conf`	Refactoring Conventional Task Schedulers to Exploit Asymmetric ARM big.LITTLE Architectures in Dense Linear Algebra. IPDPS Workshops Luis Costero, Francisco D. Igual, Katzalin Olcoz, Sandra Catalán, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
2015	J	`jnl`	Revisiting Conventional Task Schedulers to Exploit Asymmetry in ARM big.LITTLE Architectures for Dense Linear Algebra. CoRR Luis Costero, Francisco D. Igual, Katzalin Olcoz, Enrique S. Quintana-Ortí