Abstract
Researchers in every knowledge field are moving towards the use of supercomputing facilities because the computing power they can provide is not achievable by individual research groups. The use of supercomputing centers would allow them to reduce costs and time. Additionally, there is a growing trend towards the use of GPUs clusters in HPC centers to accelerate particularly parallel codes as the ones related with the training of artificial neural networks. This paper presents a successful use case of a supercomputing facility, SCAYLE - Centro de Supercomputación de Castilla y León -(Spain) by a group of robotic researchers while participating in an international robotics competition - the ERL Smart CIty RObotic Challenge (SciRoc). The goal of the paper is to show that HPC facilities can be required to provided particular SLAs (Service Level Agreement). In the case described, the HPC services were used to train neural networks for object recognition, that could not be easily trained on-site and that cannot be trained in advanced because of the regulation of the competition.
Supported by SCAYLE, INCIBE and Spanish Ministry of Science and Innovation of the Kingdom of Spain (Grant RTI2018-100683-B-I00).
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Álvarez Aparicio, C. et al. (2021). Using HPC as a Competitive Advantage in an International Robotics Challenge. In: Nesmachnow, S., Castro, H., Tchernykh, A. (eds) High Performance Computing. CARLA 2020. Communications in Computer and Information Science, vol 1327. Springer, Cham. https://doi.org/10.1007/978-3-030-68035-0_8
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