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20152026
most citedEnergy efficiency optimization of task-parallel codes on asymmetric architectures

6 citations · 25 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.DC2026

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…

cs.DC2025★ 5 cited

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…

cs.DC2025★ 1 cited

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…

cs.DC2025★ 2 cited

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…

cs.DC2024★ 6 cited

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…

cs.DC2024★ 3 cited

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…

cs.DC2015★ 3 cited

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…