Now showing items 1-4 of 4

    • DMR API: improving cluster productivity by turning applications into malleable 

      Iserte, Sergio; Mayo, Rafael; Quintana-Ortí, Enrique S.; Beltran, vicenç; Peña, Antonio (Elsevier, 2018-10)
      Article
      Open Access
      Adaptive 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 

      Iserte, Sergio; Mayo, Rafael; Quintana-Orti, Enrique S.; Peña, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Article
      Open Access
      Process 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 ...
    • Dynamic reconfiguration of noniterative scientific applications A case study with HPG aligner 

      Iserte, Sergio; Martínez Pérez, Héctor; Barrachina Mir, Sergio; Castillo Catalán, Maribel; Mayo, Rafael; Peña, Antonio (SAGE Publications, 2018)
      Article
      Open Access
      Several 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 ...
    • Efficient Scalable Computing through Flexible Applications and Adaptive Workloads 

      Iserte, Sergio; Mayo, Rafael; Quintana-Ortí, Enrique S.; Beltran Querol, Vicenç; Peña, Antonio J. (IEEE, 2017-09-07)
      Conference lecture
      Open Access
      In 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 ...