6 citations · 25 across the 9 of their papers we have counts for
9 papers
A comprehensive evaluation of spatial co-execution on GPUs using MPS and MIG technologies
Jorge Villarrubia, Luis Costero, Francisco D. Igual +1
To mitigate the increasingly common underutilization of computational resources in modern GPUs, spatial sharing methods enable multiple applications to use them simultaneously. Thi…
Leveraging Multi-Instance GPUs through moldable task scheduling
Jorge Villarrubia, Luis Costero, Francisco D. Igual +1
NVIDIA MIG (Multi-Instance GPU) allows partitioning a physical GPU into multiple logical instances with fully-isolated resources, which can be dynamically reconfigured. This work h…
Motivando el uso y aprendizaje de Bash a través de concursos de programación
Luis Costero, Jorge Villarrubia, Francisco D. Igual
Command line learning and Bash usage are fundamental skills in systems administration, software development, and data science environments. However, their teaching has been neglect…
Balanced segmentation of CNNs for multi-TPU inference
Jorge Villarrubia, Luis Costero, Francisco D. Igual +1
In this paper, we propose different alternatives for convolutional neural networks (CNNs) segmentation, addressing inference processes on computing architectures composed by multip…
Improving inference time in multi-TPU systems with profiled model segmentation
Jorge Villarrubia, Luis Costero, Francisco D. Igual +1
In this paper, we systematically evaluate the inference performance of the Edge TPU by Google for neural networks with different characteristics. Specifically, we determine that, g…
Energy efficiency optimization of task-parallel codes on asymmetric architectures
Luis Costero, Francisco D. Igual, Katzalin Olcoz +1
We present a family of policies that, integrated within a runtime task scheduler (Nanox), pursue the goal of improving the energy efficiency of task-parallel executions with no int…
Leveraging knowledge-as-a-service (KaaS) for QoS-aware resource management in multi-user video transcoding
Luis Costero, Francisco D. Igual, Katzalin Olcoz +1
The coexistence of parallel applications in shared computing nodes, each one featuring different Quality of Service (QoS) requirements, carries out new challenges to improve resour…
Acceleration and energy consumption optimization in cascading classifiers for face detection on low-cost ARM big.LITTLE asymmetric architectures
Alberto Corpas, Luis Costero, Guillermo Botella +3
This paper proposes a mechanism to accelerate and optimize the energy consumption of a face detection software based on Haar-like cascading classifiers, taking advantage of the fea…
Revisiting Conventional Task Schedulers to Exploit Asymmetry in ARM big.LITTLE Architectures for Dense Linear Algebra
Luis Costero, Francisco D. Igual, Katzalin Olcoz +1
Dealing with asymmetry in the architecture opens a plethora of questions from the perspective of scheduling task-parallel applications, and there exist early attempts to address th…