Lines Matching refs:jobs
9 Padata is a mechanism by which the kernel can farm jobs out to be done in
16 Padata also supports multithreaded jobs, splitting up the job evenly while load
25 The first step in using padata to run serialized jobs is to set up a
26 padata_instance structure for overall control of how jobs are to be run::
39 jobs to be serialized independently. A padata_instance may have one or more
40 padata_shells associated with it, each allowing a separate series of jobs.
45 The CPUs used to run jobs can be changed in two ways, programatically with
52 parallel cpumask describes which processors will be used to execute jobs
116 true parallelism is achieved by submitting multiple jobs. parallel() runs with
141 pains to ensure that jobs are completed in the order in which they were
153 It is the user's responsibility to ensure all outstanding jobs are complete