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authorMauro Carvalho Chehab2017-05-16 10:06:48 -0300
committerJonathan Corbet2017-07-14 13:57:56 -0600
commit7576b2b98dc9aa8a3ce8921df4a5fbb354269ed8 (patch)
tree9185e8e2d9f09684bfcbf9bc18719819a4f6ff4c /Documentation/padata.txt
parente4a5c33ed2084d000b968e1847a7d341551f75ec (diff)
padata.txt: standardize document format
Each text file under Documentation follows a different format. Some doesn't even have titles! Change its representation to follow the adopted standard, using ReST markups for it to be parseable by Sphinx: - mark document title; - mark literal blocks. Signed-off-by: Mauro Carvalho Chehab <mchehab@s-opensource.com> Signed-off-by: Jonathan Corbet <corbet@lwn.net>
Diffstat (limited to 'Documentation/padata.txt')
-rw-r--r--Documentation/padata.txt27
1 files changed, 15 insertions, 12 deletions
diff --git a/Documentation/padata.txt b/Documentation/padata.txt
index 7ddfe216a0aa..b103d0c82000 100644
--- a/Documentation/padata.txt
+++ b/Documentation/padata.txt
@@ -1,5 +1,8 @@
+=======================================
The padata parallel execution mechanism
-Last updated for 2.6.36
+=======================================
+
+:Last updated: for 2.6.36
Padata is a mechanism by which the kernel can farm work out to be done in
parallel on multiple CPUs while retaining the ordering of tasks. It was
@@ -9,7 +12,7 @@ those packets. The crypto developers made a point of writing padata in a
sufficiently general fashion that it could be put to other uses as well.
The first step in using padata is to set up a padata_instance structure for
-overall control of how tasks are to be run:
+overall control of how tasks are to be run::
#include <linux/padata.h>
@@ -24,7 +27,7 @@ The workqueue wq is where the work will actually be done; it should be
a multithreaded queue, naturally.
To allocate a padata instance with the cpu_possible_mask for both
-cpumasks this helper function can be used:
+cpumasks this helper function can be used::
struct padata_instance *padata_alloc_possible(struct workqueue_struct *wq);
@@ -36,7 +39,7 @@ it is legal to supply a cpumask to padata that contains offline CPUs.
Once an offline CPU in the user supplied cpumask comes online, padata
is going to use it.
-There are functions for enabling and disabling the instance:
+There are functions for enabling and disabling the instance::
int padata_start(struct padata_instance *pinst);
void padata_stop(struct padata_instance *pinst);
@@ -48,7 +51,7 @@ padata cpumask contains no active CPU (flag not set).
padata_stop clears the flag and blocks until the padata instance
is unused.
-The list of CPUs to be used can be adjusted with these functions:
+The list of CPUs to be used can be adjusted with these functions::
int padata_set_cpumasks(struct padata_instance *pinst,
cpumask_var_t pcpumask,
@@ -71,12 +74,12 @@ padata_add_cpu/padata_remove_cpu are used. cpu specifies the CPU to add or
remove and mask is one of PADATA_CPU_SERIAL, PADATA_CPU_PARALLEL.
If a user is interested in padata cpumask changes, he can register to
-the padata cpumask change notifier:
+the padata cpumask change notifier::
int padata_register_cpumask_notifier(struct padata_instance *pinst,
struct notifier_block *nblock);
-To unregister from that notifier:
+To unregister from that notifier::
int padata_unregister_cpumask_notifier(struct padata_instance *pinst,
struct notifier_block *nblock);
@@ -84,7 +87,7 @@ To unregister from that notifier:
The padata cpumask change notifier notifies about changes of the usable
cpumasks, i.e. the subset of active CPUs in the user supplied cpumask.
-Padata calls the notifier chain with:
+Padata calls the notifier chain with::
blocking_notifier_call_chain(&pinst->cpumask_change_notifier,
notification_mask,
@@ -95,7 +98,7 @@ is one of PADATA_CPU_SERIAL, PADATA_CPU_PARALLEL and cpumask is a pointer
to a struct padata_cpumask that contains the new cpumask information.
Actually submitting work to the padata instance requires the creation of a
-padata_priv structure:
+padata_priv structure::
struct padata_priv {
/* Other stuff here... */
@@ -110,7 +113,7 @@ parallel() and serial() functions should be provided. Those functions will
be called in the process of getting the work done as we will see
momentarily.
-The submission of work is done with:
+The submission of work is done with::
int padata_do_parallel(struct padata_instance *pinst,
struct padata_priv *padata, int cb_cpu);
@@ -138,7 +141,7 @@ need not be completed during this call, but, if parallel() leaves work
outstanding, it should be prepared to be called again with a new job before
the previous one completes. When a task does complete, parallel() (or
whatever function actually finishes the job) should inform padata of the
-fact with a call to:
+fact with a call to::
void padata_do_serial(struct padata_priv *padata);
@@ -151,7 +154,7 @@ pains to ensure that tasks are completed in the order in which they were
submitted.
The one remaining function in the padata API should be called to clean up
-when a padata instance is no longer needed:
+when a padata instance is no longer needed::
void padata_free(struct padata_instance *pinst);