5 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…