DMR API: Improving cluster productivity by turning applications into malleable

S Iserte, R Mayo, ES Quintana-Ortí, V Beltran… - Parallel Computing, 2018 - Elsevier
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 resource manager and, through
the runtime, to change its number of MPI ranks. The collaboration between both the
workload manager—aware of the queue of jobs and the resources allocation—and the
parallel runtime—able to transparently handle the processes and the program data—is …
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