#include <linux/padata.h>
- struct padata_instance *padata_alloc(struct workqueue_struct *wq,
+ struct padata_instance *padata_alloc(const char *name,
const struct cpumask *pcpumask,
const struct cpumask *cbcpumask);
+'name' simply identifies the instance.
+
The pcpumask describes which processors will be used to execute work
submitted to this instance in parallel. The cbcpumask defines which
processors are allowed to be used as the serialization callback processor.
Each task submitted to padata_do_parallel() will, in turn, be passed to
exactly one call to the above-mentioned parallel() function, on one CPU, so
-true parallelism is achieved by submitting multiple tasks. Despite the
-fact that the workqueue is used to make these calls, parallel() is run with
+true parallelism is achieved by submitting multiple tasks. parallel() runs with
software interrupts disabled and thus cannot sleep. The parallel()
function gets the padata_priv structure pointer as its lone parameter;
information about the actual work to be done is probably obtained by using
At some point in the future, padata_do_serial() will trigger a call to the
serial() function in the padata_priv structure. That call will happen on
the CPU requested in the initial call to padata_do_parallel(); it, too, is
-done through the workqueue, but with local software interrupts disabled.
+run with local software interrupts disabled.
Note that this call may be deferred for a while since the padata code takes
pains to ensure that tasks are completed in the order in which they were
submitted.
void padata_free(struct padata_instance *pinst);
This function will busy-wait while any remaining tasks are completed, so it
-might be best not to call it while there is work outstanding. Shutting
-down the workqueue, if necessary, should be done separately.
+might be best not to call it while there is work outstanding.