Merge remote branch 'origin' into secretlab/next-devicetree

Merging in current state of Linus' tree to deal with merge conflicts and
build failures in vio.c after merge.

Conflicts:
	drivers/i2c/busses/i2c-cpm.c
	drivers/i2c/busses/i2c-mpc.c
	drivers/net/gianfar.c

Also fixed up one line in arch/powerpc/kernel/vio.c to use the
correct node pointer.

Signed-off-by: Grant Likely <grant.likely@secretlab.ca>

1 files changed, 107 insertions, 0 deletions

diff --git a/Documentation/padata.txt b/Documentation/padata.txt
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index 000000000000..269d7d0d8335
--- /dev/null
+++ b/Documentation/padata.txt
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+The padata parallel execution mechanism
+Last updated for 2.6.34
+
+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
+developed for use with the IPsec code, which needs to be able to perform
+encryption and decryption on large numbers of packets without reordering
+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:
+
+    #include <linux/padata.h>
+
+    struct padata_instance *padata_alloc(const struct cpumask *cpumask,
+				         struct workqueue_struct *wq);
+
+The cpumask describes which processors will be used to execute work
+submitted to this instance.  The workqueue wq is where the work will
+actually be done; it should be a multithreaded queue, naturally.
+
+There are functions for enabling and disabling the instance:
+
+    void padata_start(struct padata_instance *pinst);
+    void padata_stop(struct padata_instance *pinst);
+
+These functions literally do nothing beyond setting or clearing the
+"padata_start() was called" flag; if that flag is not set, other functions
+will refuse to work.
+
+The list of CPUs to be used can be adjusted with these functions:
+
+    int padata_set_cpumask(struct padata_instance *pinst,
+			   cpumask_var_t cpumask);
+    int padata_add_cpu(struct padata_instance *pinst, int cpu);
+    int padata_remove_cpu(struct padata_instance *pinst, int cpu);
+
+Changing the CPU mask has the look of an expensive operation, though, so it
+probably should not be done with great frequency.
+
+Actually submitting work to the padata instance requires the creation of a
+padata_priv structure:
+
+    struct padata_priv {
+        /* Other stuff here... */
+	void                    (*parallel)(struct padata_priv *padata);
+	void                    (*serial)(struct padata_priv *padata);
+    };
+
+This structure will almost certainly be embedded within some larger
+structure specific to the work to be done.  Most its fields are private to
+padata, but the structure should be zeroed at initialization time, and the
+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:
+
+    int padata_do_parallel(struct padata_instance *pinst,
+		           struct padata_priv *padata, int cb_cpu);
+
+The pinst and padata structures must be set up as described above; cb_cpu
+specifies which CPU will be used for the final callback when the work is
+done; it must be in the current instance's CPU mask.  The return value from
+padata_do_parallel() is a little strange; zero is an error return
+indicating that the caller forgot the padata_start() formalities.  -EBUSY
+means that somebody, somewhere else is messing with the instance's CPU
+mask, while -EINVAL is a complaint about cb_cpu not being in that CPU mask.
+If all goes well, this function will return -EINPROGRESS, indicating that
+the work is in progress.
+
+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
+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
+container_of() to find the enclosing structure.
+
+Note that parallel() has no return value; the padata subsystem assumes that
+parallel() will take responsibility for the task from this point.  The work
+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:
+
+    void padata_do_serial(struct padata_priv *padata);
+
+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.
+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.
+
+The one remaining function in the padata API should be called to clean up
+when a padata instance is no longer needed:
+
+    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.