Exploració per autor "Iserte, Sergio"
Ara es mostren els items 1-10 de 10
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Adaptation of AI-Accelerated CFD Simulations to the IPU Platform
(Springer International Publishing, 2023)
Comunicació de congrés
Accés restringit per política de l'editorialIntelligence Processing Units (IPU) have proven useful for many AI applications. In this paper, we evaluate them within the emerging field of AI for simulation, where traditional numerical simulations are supported by ... -
Configurable synthetic application for studying malleability in HPC
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Comunicació de congrés
Accés obertNowadays, the throughput improvement in large clusters of computers recommends the development of malleable applications. Thus, during the execution of these applications in a job, the resource management system (RMS) can ... -
DMR API: improving cluster productivity by turning applications into malleable
(Elsevier, 2018-10)
Article
Accés obertAdaptive workloads can change on–the–fly the configuration of their jobs, in terms of number of processes. To carry out these job reconfigurations, we have designed a methodology which enables a job to communicate with the ... -
DMRlib: Easy-coding and efficient resource management for job malleability
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Article
Accés obertProcess malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource allocation policy. However, the non-negligible ... -
DPU Offloading Programming with the OpenMP API
(Association for Computing Machinery (ACM), 2023-11)
Comunicació de congrés
Accés obertData processing units (DPUs) as network co-processors are an emerging trend in our community, with plenty of opportunities yet to be explored. These have been generally used as domain-specific accelerators transparent to ... -
Dynamic reconfiguration of noniterative scientific applications A case study with HPG aligner
(SAGE Publications, 2018)
Article
Accés obertSeveral studies have proved the benefits of job malleability, that is, the capacity of an application to adapt its parallelism to a dynamically changing number of allocated processors. The most remarkable advantages of ... -
Dynamic spawning of MPI processes applied to malleability
(SAGE Publications, 2023)
Article
Accés obertMalleability allows computing facilities to adapt their workloads through resource management systems to maximize the throughput of the facility and the efficiency of the executed jobs. This technique is based on reconfiguring ... -
Efficient data redistribution for malleable applications
(Association for Computing Machinery (ACM), 2023)
Comunicació de congrés
Accés obertProcess malleability can be defined as the ability of a distributed MPI parallel job to change the number of processes on–the–fly without stopping its execution, reallocating the compute resources originally assigned to ... -
Efficient Scalable Computing through Flexible Applications and Adaptive Workloads
(IEEE, 2017-09-07)
Comunicació de congrés
Accés obertIn this paper we introduce a methodology for dynamic job reconfiguration driven by the programming model runtime in collaboration with the global resource manager. We improve the system throughput by exploiting malleability ... -
On the use of deep learning and computational fluid dynamics for the estimation of uniform momentum source components of propellers
(Cell Press, 2023-11)
Article
Accés obertThis article proposes a novel method based on Deep Learning for the resolution of uniform momentum source terms in the Reynolds-Averaged Navier-Stokes equations. These source terms can represent several industrial devices ...
