Linux-2.6.12-rc2v2.6.12-rc2

Initial git repository build. I'm not bothering with the full history,
even though we have it. We can create a separate "historical" git
archive of that later if we want to, and in the meantime it's about
3.2GB when imported into git - space that would just make the early
git days unnecessarily complicated, when we don't have a lot of good
infrastructure for it.

Let it rip!

6 files changed, 1123 insertions, 0 deletions

diff --git a/Documentation/RCU/RTFP.txt b/Documentation/RCU/RTFP.txt
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+Read the F-ing Papers!
+
+
+This document describes RCU-related publications, and is followed by
+the corresponding bibtex entries.
+
+The first thing resembling RCU was published in 1980, when Kung and Lehman
+[Kung80] recommended use of a garbage collector to defer destruction
+of nodes in a parallel binary search tree in order to simplify its
+implementation.  This works well in environments that have garbage
+collectors, but current production garbage collectors incur significant
+read-side overhead.
+
+In 1982, Manber and Ladner [Manber82,Manber84] recommended deferring
+destruction until all threads running at that time have terminated, again
+for a parallel binary search tree.  This approach works well in systems
+with short-lived threads, such as the K42 research operating system.
+However, Linux has long-lived tasks, so more is needed.
+
+In 1986, Hennessy, Osisek, and Seigh [Hennessy89] introduced passive
+serialization, which is an RCU-like mechanism that relies on the presence
+of "quiescent states" in the VM/XA hypervisor that are guaranteed not
+to be referencing the data structure.  However, this mechanism was not
+optimized for modern computer systems, which is not surprising given
+that these overheads were not so expensive in the mid-80s.  Nonetheless,
+passive serialization appears to be the first deferred-destruction
+mechanism to be used in production.  Furthermore, the relevant patent has
+lapsed, so this approach may be used in non-GPL software, if desired.
+(In contrast, use of RCU is permitted only in software licensed under
+GPL.  Sorry!!!)
+
+In 1990, Pugh [Pugh90] noted that explicitly tracking which threads
+were reading a given data structure permitted deferred free to operate
+in the presence of non-terminating threads.  However, this explicit
+tracking imposes significant read-side overhead, which is undesirable
+in read-mostly situations.  This algorithm does take pains to avoid
+write-side contention and parallelize the other write-side overheads by
+providing a fine-grained locking design, however, it would be interesting
+to see how much of the performance advantage reported in 1990 remains
+in 2004.
+
+At about this same time, Adams [Adams91] described ``chaotic relaxation'',
+where the normal barriers between successive iterations of convergent
+numerical algorithms are relaxed, so that iteration $n$ might use
+data from iteration $n-1$ or even $n-2$.  This introduces error,
+which typically slows convergence and thus increases the number of
+iterations required.  However, this increase is sometimes more than made
+up for by a reduction in the number of expensive barrier operations,
+which are otherwise required to synchronize the threads at the end
+of each iteration.  Unfortunately, chaotic relaxation requires highly
+structured data, such as the matrices used in scientific programs, and
+is thus inapplicable to most data structures in operating-system kernels.
+
+In 1993, Jacobson [Jacobson93] verbally described what is perhaps the
+simplest deferred-free technique: simply waiting a fixed amount of time
+before freeing blocks awaiting deferred free.  Jacobson did not describe
+any write-side changes he might have made in this work using SGI's Irix
+kernel.  Aju John published a similar technique in 1995 [AjuJohn95].
+This works well if there is a well-defined upper bound on the length of
+time that reading threads can hold references, as there might well be in
+hard real-time systems.  However, if this time is exceeded, perhaps due
+to preemption, excessive interrupts, or larger-than-anticipated load,
+memory corruption can ensue, with no reasonable means of diagnosis.
+Jacobson's technique is therefore inappropriate for use in production
+operating-system kernels, except when such kernels can provide hard
+real-time response guarantees for all operations.
+
+Also in 1995, Pu et al. [Pu95a] applied a technique similar to that of Pugh's
+read-side-tracking to permit replugging of algorithms within a commercial
+Unix operating system.  However, this replugging permitted only a single
+reader at a time.  The following year, this same group of researchers
+extended their technique to allow for multiple readers [Cowan96a].
+Their approach requires memory barriers (and thus pipeline stalls),
+but reduces memory latency, contention, and locking overheads.
+
+1995 also saw the first publication of DYNIX/ptx's RCU mechanism
+[Slingwine95], which was optimized for modern CPU architectures,
+and was successfully applied to a number of situations within the
+DYNIX/ptx kernel.  The corresponding conference paper appeared in 1998
+[McKenney98].
+
+In 1999, the Tornado and K42 groups described their "generations"
+mechanism, which quite similar to RCU [Gamsa99].  These operating systems
+made pervasive use of RCU in place of "existence locks", which greatly
+simplifies locking hierarchies.
+
+2001 saw the first RCU presentation involving Linux [McKenney01a]
+at OLS.  The resulting abundance of RCU patches was presented the
+following year [McKenney02a], and use of RCU in dcache was first
+described that same year [Linder02a].
+
+Also in 2002, Michael [Michael02b,Michael02a] presented techniques
+that defer the destruction of data structures to simplify non-blocking
+synchronization (wait-free synchronization, lock-free synchronization,
+and obstruction-free synchronization are all examples of non-blocking
+synchronization).  In particular, this technique eliminates locking,
+reduces contention, reduces memory latency for readers, and parallelizes
+pipeline stalls and memory latency for writers.  However, these
+techniques still impose significant read-side overhead in the form of
+memory barriers.  Researchers at Sun worked along similar lines in the
+same timeframe [HerlihyLM02,HerlihyLMS03].
+
+In 2003, the K42 group described how RCU could be used to create
+hot-pluggable implementations of operating-system functions.  Later that
+year saw a paper describing an RCU implementation of System V IPC
+[Arcangeli03], and an introduction to RCU in Linux Journal [McKenney03a].
+
+2004 has seen a Linux-Journal article on use of RCU in dcache
+[McKenney04a], a performance comparison of locking to RCU on several
+different CPUs [McKenney04b], a dissertation describing use of RCU in a
+number of operating-system kernels [PaulEdwardMcKenneyPhD], and a paper
+describing how to make RCU safe for soft-realtime applications [Sarma04c].
+
+
+Bibtex Entries
+
+@article{Kung80
+,author="H. T. Kung and Q. Lehman"
+,title="Concurrent Maintenance of Binary Search Trees"
+,Year="1980"
+,Month="September"
+,journal="ACM Transactions on Database Systems"
+,volume="5"
+,number="3"
+,pages="354-382"
+}
+
+@techreport{Manber82
+,author="Udi Manber and Richard E. Ladner"
+,title="Concurrency Control in a Dynamic Search Structure"
+,institution="Department of Computer Science, University of Washington"
+,address="Seattle, Washington"
+,year="1982"
+,number="82-01-01"
+,month="January"
+,pages="28"
+}
+
+@article{Manber84
+,author="Udi Manber and Richard E. Ladner"
+,title="Concurrency Control in a Dynamic Search Structure"
+,Year="1984"
+,Month="September"
+,journal="ACM Transactions on Database Systems"
+,volume="9"
+,number="3"
+,pages="439-455"
+}
+
+@techreport{Hennessy89
+,author="James P. Hennessy and Damian L. Osisek and Joseph W. {Seigh II}"
+,title="Passive Serialization in a Multitasking Environment"
+,institution="US Patent and Trademark Office"
+,address="Washington, DC"
+,year="1989"
+,number="US Patent 4,809,168 (lapsed)"
+,month="February"
+,pages="11"
+}
+
+@techreport{Pugh90
+,author="William Pugh"
+,title="Concurrent Maintenance of Skip Lists"
+,institution="Institute of Advanced Computer Science Studies, Department of Computer Science, University of Maryland"
+,address="College Park, Maryland"
+,year="1990"
+,number="CS-TR-2222.1"
+,month="June"
+}
+
+@Book{Adams91
+,Author="Gregory R. Adams"
+,title="Concurrent Programming, Principles, and Practices"
+,Publisher="Benjamin Cummins"
+,Year="1991"
+}
+
+@unpublished{Jacobson93
+,author="Van Jacobson"
+,title="Avoid Read-Side Locking Via Delayed Free"
+,year="1993"
+,month="September"
+,note="Verbal discussion"
+}
+
+@Conference{AjuJohn95
+,Author="Aju John"
+,Title="Dynamic vnodes -- Design and Implementation"
+,Booktitle="{USENIX Winter 1995}"
+,Publisher="USENIX Association"
+,Month="January"
+,Year="1995"
+,pages="11-23"
+,Address="New Orleans, LA"
+}
+
+@techreport{Slingwine95
+,author="John D. Slingwine and Paul E. McKenney"
+,title="Apparatus and Method for Achieving Reduced Overhead Mutual
+Exclusion and Maintaining Coherency in a Multiprocessor System
+Utilizing Execution History and Thread Monitoring"
+,institution="US Patent and Trademark Office"
+,address="Washington, DC"
+,year="1995"
+,number="US Patent 5,442,758 (contributed under GPL)"
+,month="August"
+}
+
+@techreport{Slingwine97
+,author="John D. Slingwine and Paul E. McKenney"
+,title="Method for maintaining data coherency using thread
+activity summaries in a multicomputer system"
+,institution="US Patent and Trademark Office"
+,address="Washington, DC"
+,year="1997"
+,number="US Patent 5,608,893 (contributed under GPL)"
+,month="March"
+}
+
+@techreport{Slingwine98
+,author="John D. Slingwine and Paul E. McKenney"
+,title="Apparatus and method for achieving reduced overhead
+mutual exclusion and maintaining coherency in a multiprocessor
+system utilizing execution history and thread monitoring"
+,institution="US Patent and Trademark Office"
+,address="Washington, DC"
+,year="1998"
+,number="US Patent 5,727,209 (contributed under GPL)"
+,month="March"
+}
+
+@Conference{McKenney98
+,Author="Paul E. McKenney and John D. Slingwine"
+,Title="Read-Copy Update: Using Execution History to Solve Concurrency
+Problems"
+,Booktitle="{Parallel and Distributed Computing and Systems}"
+,Month="October"
+,Year="1998"
+,pages="509-518"
+,Address="Las Vegas, NV"
+}
+
+@Conference{Gamsa99
+,Author="Ben Gamsa and Orran Krieger and Jonathan Appavoo and Michael Stumm"
+,Title="Tornado: Maximizing Locality and Concurrency in a Shared Memory
+Multiprocessor Operating System"
+,Booktitle="{Proceedings of the 3\textsuperscript{rd} Symposium on
+Operating System Design and Implementation}"
+,Month="February"
+,Year="1999"
+,pages="87-100"
+,Address="New Orleans, LA"
+}
+
+@techreport{Slingwine01
+,author="John D. Slingwine and Paul E. McKenney"
+,title="Apparatus and method for achieving reduced overhead
+mutual exclusion and maintaining coherency in a multiprocessor
+system utilizing execution history and thread monitoring"
+,institution="US Patent and Trademark Office"
+,address="Washington, DC"
+,year="2001"
+,number="US Patent 5,219,690 (contributed under GPL)"
+,month="April"
+}
+
+@Conference{McKenney01a
+,Author="Paul E. McKenney and Jonathan Appavoo and Andi Kleen and
+Orran Krieger and Rusty Russell and Dipankar Sarma and Maneesh Soni"
+,Title="Read-Copy Update"
+,Booktitle="{Ottawa Linux Symposium}"
+,Month="July"
+,Year="2001"
+,note="Available:
+\url{http://www.linuxsymposium.org/2001/abstracts/readcopy.php}
+\url{http://www.rdrop.com/users/paulmck/rclock/rclock_OLS.2001.05.01c.pdf}
+[Viewed June 23, 2004]"
+annotation="
+Described RCU, and presented some patches implementing and using it in
+the Linux kernel.
+"
+}
+
+@Conference{Linder02a
+,Author="Hanna Linder and Dipankar Sarma and Maneesh Soni"
+,Title="Scalability of the Directory Entry Cache"
+,Booktitle="{Ottawa Linux Symposium}"
+,Month="June"
+,Year="2002"
+,pages="289-300"
+}
+
+@Conference{McKenney02a
+,Author="Paul E. McKenney and Dipankar Sarma and
+Andrea Arcangeli and Andi Kleen and Orran Krieger and Rusty Russell"
+,Title="Read-Copy Update"
+,Booktitle="{Ottawa Linux Symposium}"
+,Month="June"
+,Year="2002"
+,pages="338-367"
+,note="Available:
+\url{http://www.linux.org.uk/~ajh/ols2002_proceedings.pdf.gz}
+[Viewed June 23, 2004]"
+}
+
+@article{Appavoo03a
+,author="J. Appavoo and K. Hui and C. A. N. Soules and R. W. Wisniewski and
+D. M. {Da Silva} and O. Krieger and M. A. Auslander and D. J. Edelsohn and
+B. Gamsa and G. R. Ganger and P. McKenney and M. Ostrowski and
+B. Rosenburg and M. Stumm and J. Xenidis"
+,title="Enabling Autonomic Behavior in Systems Software With Hot Swapping"
+,Year="2003"
+,Month="January"
+,journal="IBM Systems Journal"
+,volume="42"
+,number="1"
+,pages="60-76"
+}
+
+@Conference{Arcangeli03
+,Author="Andrea Arcangeli and Mingming Cao and Paul E. McKenney and
+Dipankar Sarma"
+,Title="Using Read-Copy Update Techniques for {System V IPC} in the
+{Linux} 2.5 Kernel"
+,Booktitle="Proceedings of the 2003 USENIX Annual Technical Conference
+(FREENIX Track)"
+,Publisher="USENIX Association"
+,year="2003"
+,month="June"
+,pages="297-310"
+}
+
+@article{McKenney03a
+,author="Paul E. McKenney"
+,title="Using {RCU} in the {Linux} 2.5 Kernel"
+,Year="2003"
+,Month="October"
+,journal="Linux Journal"
+,volume="1"
+,number="114"
+,pages="18-26"
+}
+
+@article{McKenney04a
+,author="Paul E. McKenney and Dipankar Sarma and Maneesh Soni"
+,title="Scaling dcache with {RCU}"
+,Year="2004"
+,Month="January"
+,journal="Linux Journal"
+,volume="1"
+,number="118"
+,pages="38-46"
+}
+
+@Conference{McKenney04b
+,Author="Paul E. McKenney"
+,Title="{RCU} vs. Locking Performance on Different {CPUs}"
+,Booktitle="{linux.conf.au}"
+,Month="January"
+,Year="2004"
+,Address="Adelaide, Australia"
+,note="Available:
+\url{http://www.linux.org.au/conf/2004/abstracts.html#90}
+\url{http://www.rdrop.com/users/paulmck/rclock/lockperf.2004.01.17a.pdf}
+[Viewed June 23, 2004]"
+}
+
+@phdthesis{PaulEdwardMcKenneyPhD
+,author="Paul E. McKenney"
+,title="Exploiting Deferred Destruction:
+An Analysis of Read-Copy-Update Techniques
+in Operating System Kernels"
+,school="OGI School of Science and Engineering at
+Oregon Health and Sciences University"
+,year="2004"
+}
+
+@Conference{Sarma04c
+,Author="Dipankar Sarma and Paul E. McKenney"
+,Title="Making RCU Safe for Deep Sub-Millisecond Response Realtime Applications"
+,Booktitle="Proceedings of the 2004 USENIX Annual Technical Conference
+(FREENIX Track)"
+,Publisher="USENIX Association"
+,year="2004"
+,month="June"
+,pages="182-191"
+}
diff --git a/Documentation/RCU/UP.txt b/Documentation/RCU/UP.txt
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+RCU on Uniprocessor Systems
+
+
+A common misconception is that, on UP systems, the call_rcu() primitive
+may immediately invoke its function, and that the synchronize_kernel
+primitive may return immediately.  The basis of this misconception
+is that since there is only one CPU, it should not be necessary to
+wait for anything else to get done, since there are no other CPUs for
+anything else to be happening on.  Although this approach will sort of
+work a surprising amount of the time, it is a very bad idea in general.
+This document presents two examples that demonstrate exactly how bad an
+idea this is.
+
+
+Example 1: softirq Suicide
+
+Suppose that an RCU-based algorithm scans a linked list containing
+elements A, B, and C in process context, and can delete elements from
+this same list in softirq context.  Suppose that the process-context scan
+is referencing element B when it is interrupted by softirq processing,
+which deletes element B, and then invokes call_rcu() to free element B
+after a grace period.
+
+Now, if call_rcu() were to directly invoke its arguments, then upon return
+from softirq, the list scan would find itself referencing a newly freed
+element B.  This situation can greatly decrease the life expectancy of
+your kernel.
+
+
+Example 2: Function-Call Fatality
+
+Of course, one could avert the suicide described in the preceding example
+by having call_rcu() directly invoke its arguments only if it was called
+from process context.  However, this can fail in a similar manner.
+
+Suppose that an RCU-based algorithm again scans a linked list containing
+elements A, B, and C in process contexts, but that it invokes a function
+on each element as it is scanned.  Suppose further that this function
+deletes element B from the list, then passes it to call_rcu() for deferred
+freeing.  This may be a bit unconventional, but it is perfectly legal
+RCU usage, since call_rcu() must wait for a grace period to elapse.
+Therefore, in this case, allowing call_rcu() to immediately invoke
+its arguments would cause it to fail to make the fundamental guarantee
+underlying RCU, namely that call_rcu() defers invoking its arguments until
+all RCU read-side critical sections currently executing have completed.
+
+Quick Quiz: why is it -not- legal to invoke synchronize_kernel() in
+this case?
+
+
+Summary
+
+Permitting call_rcu() to immediately invoke its arguments or permitting
+synchronize_kernel() to immediately return breaks RCU, even on a UP system.
+So do not do it!  Even on a UP system, the RCU infrastructure -must-
+respect grace periods.
+
+
+Answer to Quick Quiz
+
+The calling function is scanning an RCU-protected linked list, and
+is therefore within an RCU read-side critical section.  Therefore,
+the called function has been invoked within an RCU read-side critical
+section, and is not permitted to block.
diff --git a/Documentation/RCU/arrayRCU.txt b/Documentation/RCU/arrayRCU.txt
new file mode 100644
index 0000000000..453ebe6953
--- /dev/null
+++ b/Documentation/RCU/arrayRCU.txt
@@ -0,0 +1,141 @@
+Using RCU to Protect Read-Mostly Arrays
+
+
+Although RCU is more commonly used to protect linked lists, it can
+also be used to protect arrays.  Three situations are as follows:
+
+1.  Hash Tables
+
+2.  Static Arrays
+
+3.  Resizeable Arrays
+
+Each of these situations are discussed below.
+
+
+Situation 1: Hash Tables
+
+Hash tables are often implemented as an array, where each array entry
+has a linked-list hash chain.  Each hash chain can be protected by RCU
+as described in the listRCU.txt document.  This approach also applies
+to other array-of-list situations, such as radix trees.
+
+
+Situation 2: Static Arrays
+
+Static arrays, where the data (rather than a pointer to the data) is
+located in each array element, and where the array is never resized,
+have not been used with RCU.  Rik van Riel recommends using seqlock in
+this situation, which would also have minimal read-side overhead as long
+as updates are rare.
+
+Quick Quiz:  Why is it so important that updates be rare when
+             using seqlock?
+
+
+Situation 3: Resizeable Arrays
+
+Use of RCU for resizeable arrays is demonstrated by the grow_ary()
+function used by the System V IPC code.  The array is used to map from
+semaphore, message-queue, and shared-memory IDs to the data structure
+that represents the corresponding IPC construct.  The grow_ary()
+function does not acquire any locks; instead its caller must hold the
+ids->sem semaphore.
+
+The grow_ary() function, shown below, does some limit checks, allocates a
+new ipc_id_ary, copies the old to the new portion of the new, initializes
+the remainder of the new, updates the ids->entries pointer to point to
+the new array, and invokes ipc_rcu_putref() to free up the old array.
+Note that rcu_assign_pointer() is used to update the ids->entries pointer,
+which includes any memory barriers required on whatever architecture
+you are running on.
+
+        static int grow_ary(struct ipc_ids* ids, int newsize)
+        {
+                struct ipc_id_ary* new;
+                struct ipc_id_ary* old;
+                int i;
+                int size = ids->entries->size;
+
+                if(newsize > IPCMNI)
+                        newsize = IPCMNI;
+                if(newsize <= size)
+                        return newsize;
+
+                new = ipc_rcu_alloc(sizeof(struct kern_ipc_perm *)*newsize +
+                                    sizeof(struct ipc_id_ary));
+                if(new == NULL)
+                        return size;
+                new->size = newsize;
+                memcpy(new->p, ids->entries->p,
+                       sizeof(struct kern_ipc_perm *)*size +
+                       sizeof(struct ipc_id_ary));
+                for(i=size;i<newsize;i++) {
+                        new->p[i] = NULL;
+                }
+                old = ids->entries;
+
+                /*
+                 * Use rcu_assign_pointer() to make sure the memcpyed
+                 * contents of the new array are visible before the new
+                 * array becomes visible.
+                 */
+                rcu_assign_pointer(ids->entries, new);
+
+                ipc_rcu_putref(old);
+                return newsize;
+        }
+
+The ipc_rcu_putref() function decrements the array's reference count
+and then, if the reference count has dropped to zero, uses call_rcu()
+to free the array after a grace period has elapsed.
+
+The array is traversed by the ipc_lock() function.  This function
+indexes into the array under the protection of rcu_read_lock(),
+using rcu_dereference() to pick up the pointer to the array so
+that it may later safely be dereferenced -- memory barriers are
+required on the Alpha CPU.  Since the size of the array is stored
+with the array itself, there can be no array-size mismatches, so
+a simple check suffices.  The pointer to the structure corresponding
+to the desired IPC object is placed in "out", with NULL indicating
+a non-existent entry.  After acquiring "out->lock", the "out->deleted"
+flag indicates whether the IPC object is in the process of being
+deleted, and, if not, the pointer is returned.
+
+        struct kern_ipc_perm* ipc_lock(struct ipc_ids* ids, int id)
+        {
+                struct kern_ipc_perm* out;
+                int lid = id % SEQ_MULTIPLIER;
+                struct ipc_id_ary* entries;
+
+                rcu_read_lock();
+                entries = rcu_dereference(ids->entries);
+                if(lid >= entries->size) {
+                        rcu_read_unlock();
+                        return NULL;
+                }
+                out = entries->p[lid];
+                if(out == NULL) {
+                        rcu_read_unlock();
+                        return NULL;
+                }
+                spin_lock(&out->lock);
+
+                /* ipc_rmid() may have already freed the ID while ipc_lock
+                 * was spinning: here verify that the structure is still valid
+                 */
+                if (out->deleted) {
+                        spin_unlock(&out->lock);
+                        rcu_read_unlock();
+                        return NULL;
+                }
+                return out;
+        }
+
+
+Answer to Quick Quiz:
+
+        The reason that it is important that updates be rare when
+        using seqlock is that frequent updates can livelock readers.
+        One way to avoid this problem is to assign a seqlock for
+        each array entry rather than to the entire array.
diff --git a/Documentation/RCU/checklist.txt b/Documentation/RCU/checklist.txt
new file mode 100644
index 0000000000..b3a568abe6
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+++ b/Documentation/RCU/checklist.txt
@@ -0,0 +1,157 @@
+Review Checklist for RCU Patches
+
+
+This document contains a checklist for producing and reviewing patches
+that make use of RCU.  Violating any of the rules listed below will
+result in the same sorts of problems that leaving out a locking primitive
+would cause.  This list is based on experiences reviewing such patches
+over a rather long period of time, but improvements are always welcome!
+
+0.      Is RCU being applied to a read-mostly situation?  If the data
+        structure is updated more than about 10% of the time, then
+        you should strongly consider some other approach, unless
+        detailed performance measurements show that RCU is nonetheless
+        the right tool for the job.
+
+        The other exception would be where performance is not an issue,
+        and RCU provides a simpler implementation.  An example of this
+        situation is the dynamic NMI code in the Linux 2.6 kernel,
+        at least on architectures where NMIs are rare.
+
+1.      Does the update code have proper mutual exclusion?
+
+        RCU does allow -readers- to run (almost) naked, but -writers- must
+        still use some sort of mutual exclusion, such as:
+
+        a.      locking,
+        b.      atomic operations, or
+        c.      restricting updates to a single task.
+
+        If you choose #b, be prepared to describe how you have handled
+        memory barriers on weakly ordered machines (pretty much all of
+        them -- even x86 allows reads to be reordered), and be prepared
+        to explain why this added complexity is worthwhile.  If you
+        choose #c, be prepared to explain how this single task does not
+        become a major bottleneck on big multiprocessor machines.
+
+2.      Do the RCU read-side critical sections make proper use of
+        rcu_read_lock() and friends?  These primitives are needed
+        to suppress preemption (or bottom halves, in the case of
+        rcu_read_lock_bh()) in the read-side critical sections,
+        and are also an excellent aid to readability.
+
+3.      Does the update code tolerate concurrent accesses?
+
+        The whole point of RCU is to permit readers to run without
+        any locks or atomic operations.  This means that readers will
+        be running while updates are in progress.  There are a number
+        of ways to handle this concurrency, depending on the situation:
+
+        a.      Make updates appear atomic to readers.  For example,
+                pointer updates to properly aligned fields will appear
+                atomic, as will individual atomic primitives.  Operations
+                performed under a lock and sequences of multiple atomic
+                primitives will -not- appear to be atomic.
+
+                This is almost always the best approach.
+
+        b.      Carefully order the updates and the reads so that
+                readers see valid data at all phases of the update.
+                This is often more difficult than it sounds, especially
+                given modern CPUs' tendency to reorder memory references.
+                One must usually liberally sprinkle memory barriers
+                (smp_wmb(), smp_rmb(), smp_mb()) through the code,
+                making it difficult to understand and to test.
+
+                It is usually better to group the changing data into
+                a separate structure, so that the change may be made
+                to appear atomic by updating a pointer to reference
+                a new structure containing updated values.
+
+4.      Weakly ordered CPUs pose special challenges.  Almost all CPUs
+        are weakly ordered -- even i386 CPUs allow reads to be reordered.
+        RCU code must take all of the following measures to prevent
+        memory-corruption problems:
+
+        a.      Readers must maintain proper ordering of their memory
+                accesses.  The rcu_dereference() primitive ensures that
+                the CPU picks up the pointer before it picks up the data
+                that the pointer points to.  This really is necessary
+                on Alpha CPUs.  If you don't believe me, see:
+
+                        http://www.openvms.compaq.com/wizard/wiz_2637.html
+
+                The rcu_dereference() primitive is also an excellent
+                documentation aid, letting the person reading the code
+                know exactly which pointers are protected by RCU.
+
+                The rcu_dereference() primitive is used by the various
+                "_rcu()" list-traversal primitives, such as the
+                list_for_each_entry_rcu().
+
+        b.      If the list macros are being used, the list_del_rcu(),
+                list_add_tail_rcu(), and list_del_rcu() primitives must
+                be used in order to prevent weakly ordered machines from
+                misordering structure initialization and pointer planting.
+                Similarly, if the hlist macros are being used, the
+                hlist_del_rcu() and hlist_add_head_rcu() primitives
+                are required.
+
+        c.      Updates must ensure that initialization of a given
+                structure happens before pointers to that structure are
+                publicized.  Use the rcu_assign_pointer() primitive
+                when publicizing a pointer to a structure that can
+                be traversed by an RCU read-side critical section.
+
+                [The rcu_assign_pointer() primitive is in process.]
+
+5.      If call_rcu(), or a related primitive such as call_rcu_bh(),
+        is used, the callback function must be written to be called
+        from softirq context.  In particular, it cannot block.
+
+6.      Since synchronize_kernel() blocks, it cannot be called from
+        any sort of irq context.
+
+7.      If the updater uses call_rcu(), then the corresponding readers
+        must use rcu_read_lock() and rcu_read_unlock().  If the updater
+        uses call_rcu_bh(), then the corresponding readers must use
+        rcu_read_lock_bh() and rcu_read_unlock_bh().  Mixing things up
+        will result in confusion and broken kernels.
+
+        One exception to this rule: rcu_read_lock() and rcu_read_unlock()
+        may be substituted for rcu_read_lock_bh() and rcu_read_unlock_bh()
+        in cases where local bottom halves are already known to be
+        disabled, for example, in irq or softirq context.  Commenting
+        such cases is a must, of course!  And the jury is still out on
+        whether the increased speed is worth it.
+
+8.      Although synchronize_kernel() is a bit slower than is call_rcu(),
+        it usually results in simpler code.  So, unless update performance
+        is important or the updaters cannot block, synchronize_kernel()
+        should be used in preference to call_rcu().
+
+9.      All RCU list-traversal primitives, which include
+        list_for_each_rcu(), list_for_each_entry_rcu(),
+        list_for_each_continue_rcu(), and list_for_each_safe_rcu(),
+        must be within an RCU read-side critical section.  RCU
+        read-side critical sections are delimited by rcu_read_lock()
+        and rcu_read_unlock(), or by similar primitives such as
+        rcu_read_lock_bh() and rcu_read_unlock_bh().
+
+        Use of the _rcu() list-traversal primitives outside of an
+        RCU read-side critical section causes no harm other than
+        a slight performance degradation on Alpha CPUs and some
+        confusion on the part of people trying to read the code.
+
+        Another way of thinking of this is "If you are holding the
+        lock that prevents the data structure from changing, why do
+        you also need RCU-based protection?"  That said, there may
+        well be situations where use of the _rcu() list-traversal
+        primitives while the update-side lock is held results in
+        simpler and more maintainable code.  The jury is still out
+        on this question.
+
+10.     Conversely, if you are in an RCU read-side critical section,
+        you -must- use the "_rcu()" variants of the list macros.
+        Failing to do so will break Alpha and confuse people reading
+        your code.
diff --git a/Documentation/RCU/listRCU.txt b/Documentation/RCU/listRCU.txt
new file mode 100644
index 0000000000..bda6ead69b
--- /dev/null
+++ b/Documentation/RCU/listRCU.txt
@@ -0,0 +1,307 @@
+Using RCU to Protect Read-Mostly Linked Lists
+
+
+One of the best applications of RCU is to protect read-mostly linked lists
+("struct list_head" in list.h).  One big advantage of this approach
+is that all of the required memory barriers are included for you in
+the list macros.  This document describes several applications of RCU,
+with the best fits first.
+
+
+Example 1: Read-Side Action Taken Outside of Lock, No In-Place Updates
+
+The best applications are cases where, if reader-writer locking were
+used, the read-side lock would be dropped before taking any action
+based on the results of the search.  The most celebrated example is
+the routing table.  Because the routing table is tracking the state of
+equipment outside of the computer, it will at times contain stale data.
+Therefore, once the route has been computed, there is no need to hold
+the routing table static during transmission of the packet.  After all,
+you can hold the routing table static all you want, but that won't keep
+the external Internet from changing, and it is the state of the external
+Internet that really matters.  In addition, routing entries are typically
+added or deleted, rather than being modified in place.
+
+A straightforward example of this use of RCU may be found in the
+system-call auditing support.  For example, a reader-writer locked
+implementation of audit_filter_task() might be as follows:
+
+        static enum audit_state audit_filter_task(struct task_struct *tsk)
+        {
+                struct audit_entry *e;
+                enum audit_state   state;
+
+                read_lock(&auditsc_lock);
+                list_for_each_entry(e, &audit_tsklist, list) {
+                        if (audit_filter_rules(tsk, &e->rule, NULL, &state)) {
+                                read_unlock(&auditsc_lock);
+                                return state;
+                        }
+                }
+                read_unlock(&auditsc_lock);
+                return AUDIT_BUILD_CONTEXT;
+        }
+
+Here the list is searched under the lock, but the lock is dropped before
+the corresponding value is returned.  By the time that this value is acted
+on, the list may well have been modified.  This makes sense, since if
+you are turning auditing off, it is OK to audit a few extra system calls.
+
+This means that RCU can be easily applied to the read side, as follows:
+
+        static enum audit_state audit_filter_task(struct task_struct *tsk)
+        {
+                struct audit_entry *e;
+                enum audit_state   state;
+
+                rcu_read_lock();
+                list_for_each_entry_rcu(e, &audit_tsklist, list) {
+                        if (audit_filter_rules(tsk, &e->rule, NULL, &state)) {
+                                rcu_read_unlock();
+                                return state;
+                        }
+                }
+                rcu_read_unlock();
+                return AUDIT_BUILD_CONTEXT;
+        }
+
+The read_lock() and read_unlock() calls have become rcu_read_lock()
+and rcu_read_unlock(), respectively, and the list_for_each_entry() has
+become list_for_each_entry_rcu().  The _rcu() list-traversal primitives
+insert the read-side memory barriers that are required on DEC Alpha CPUs.
+
+The changes to the update side are also straightforward.  A reader-writer
+lock might be used as follows for deletion and insertion:
+
+        static inline int audit_del_rule(struct audit_rule *rule,
+                                         struct list_head *list)
+        {
+                struct audit_entry  *e;
+
+                write_lock(&auditsc_lock);
+                list_for_each_entry(e, list, list) {
+                        if (!audit_compare_rule(rule, &e->rule)) {
+                                list_del(&e->list);
+                                write_unlock(&auditsc_lock);
+                                return 0;
+                        }
+                }
+                write_unlock(&auditsc_lock);
+                return -EFAULT;         /* No matching rule */
+        }
+
+        static inline int audit_add_rule(struct audit_entry *entry,
+                                         struct list_head *list)
+        {
+                write_lock(&auditsc_lock);
+                if (entry->rule.flags & AUDIT_PREPEND) {
+                        entry->rule.flags &= ~AUDIT_PREPEND;
+                        list_add(&entry->list, list);
+                } else {
+                        list_add_tail(&entry->list, list);
+                }
+                write_unlock(&auditsc_lock);
+                return 0;
+        }
+
+Following are the RCU equivalents for these two functions:
+
+        static inline int audit_del_rule(struct audit_rule *rule,
+                                         struct list_head *list)
+        {
+                struct audit_entry  *e;
+
+                /* Do not use the _rcu iterator here, since this is the only
+                 * deletion routine. */
+                list_for_each_entry(e, list, list) {
+                        if (!audit_compare_rule(rule, &e->rule)) {
+                                list_del_rcu(&e->list);
+                                call_rcu(&e->rcu, audit_free_rule, e);
+                                return 0;
+                        }
+                }
+                return -EFAULT;         /* No matching rule */
+        }
+
+        static inline int audit_add_rule(struct audit_entry *entry,
+                                         struct list_head *list)
+        {
+                if (entry->rule.flags & AUDIT_PREPEND) {
+                        entry->rule.flags &= ~AUDIT_PREPEND;
+                        list_add_rcu(&entry->list, list);
+                } else {
+                        list_add_tail_rcu(&entry->list, list);
+                }
+                return 0;
+        }
+
+Normally, the write_lock() and write_unlock() would be replaced by
+a spin_lock() and a spin_unlock(), but in this case, all callers hold
+audit_netlink_sem, so no additional locking is required.  The auditsc_lock
+can therefore be eliminated, since use of RCU eliminates the need for
+writers to exclude readers.
+
+The list_del(), list_add(), and list_add_tail() primitives have been
+replaced by list_del_rcu(), list_add_rcu(), and list_add_tail_rcu().
+The _rcu() list-manipulation primitives add memory barriers that are
+needed on weakly ordered CPUs (most of them!).
+
+So, when readers can tolerate stale data and when entries are either added
+or deleted, without in-place modification, it is very easy to use RCU!
+
+
+Example 2: Handling In-Place Updates
+
+The system-call auditing code does not update auditing rules in place.
+However, if it did, reader-writer-locked code to do so might look as
+follows (presumably, the field_count is only permitted to decrease,
+otherwise, the added fields would need to be filled in):
+
+        static inline int audit_upd_rule(struct audit_rule *rule,
+                                         struct list_head *list,
+                                         __u32 newaction,
+                                         __u32 newfield_count)
+        {
+                struct audit_entry  *e;
+                struct audit_newentry *ne;
+
+                write_lock(&auditsc_lock);
+                list_for_each_entry(e, list, list) {
+                        if (!audit_compare_rule(rule, &e->rule)) {
+                                e->rule.action = newaction;
+                                e->rule.file_count = newfield_count;
+                                write_unlock(&auditsc_lock);
+                                return 0;
+                        }
+                }
+                write_unlock(&auditsc_lock);
+                return -EFAULT;         /* No matching rule */
+        }
+
+The RCU version creates a copy, updates the copy, then replaces the old
+entry with the newly updated entry.  This sequence of actions, allowing
+concurrent reads while doing a copy to perform an update, is what gives
+RCU ("read-copy update") its name.  The RCU code is as follows:
+
+        static inline int audit_upd_rule(struct audit_rule *rule,
+                                         struct list_head *list,
+                                         __u32 newaction,
+                                         __u32 newfield_count)
+        {
+                struct audit_entry  *e;
+                struct audit_newentry *ne;
+
+                list_for_each_entry(e, list, list) {
+                        if (!audit_compare_rule(rule, &e->rule)) {
+                                ne = kmalloc(sizeof(*entry), GFP_ATOMIC);
+                                if (ne == NULL)
+                                        return -ENOMEM;
+                                audit_copy_rule(&ne->rule, &e->rule);
+                                ne->rule.action = newaction;
+                                ne->rule.file_count = newfield_count;
+                                list_add_rcu(ne, e);
+                                list_del(e);
+                                call_rcu(&e->rcu, audit_free_rule, e);
+                                return 0;
+                        }
+                }
+                return -EFAULT;         /* No matching rule */
+        }
+
+Again, this assumes that the caller holds audit_netlink_sem.  Normally,
+the reader-writer lock would become a spinlock in this sort of code.
+
+
+Example 3: Eliminating Stale Data
+
+The auditing examples above tolerate stale data, as do most algorithms
+that are tracking external state.  Because there is a delay from the
+time the external state changes before Linux becomes aware of the change,
+additional RCU-induced staleness is normally not a problem.
+
+However, there are many examples where stale data cannot be tolerated.
+One example in the Linux kernel is the System V IPC (see the ipc_lock()
+function in ipc/util.c).  This code checks a "deleted" flag under a
+per-entry spinlock, and, if the "deleted" flag is set, pretends that the
+entry does not exist.  For this to be helpful, the search function must
+return holding the per-entry spinlock, as ipc_lock() does in fact do.
+
+Quick Quiz:  Why does the search function need to return holding the
+per-entry lock for this deleted-flag technique to be helpful?
+
+If the system-call audit module were to ever need to reject stale data,
+one way to accomplish this would be to add a "deleted" flag and a "lock"
+spinlock to the audit_entry structure, and modify audit_filter_task()
+as follows:
+
+        static enum audit_state audit_filter_task(struct task_struct *tsk)
+        {
+                struct audit_entry *e;
+                enum audit_state   state;
+
+                rcu_read_lock();
+                list_for_each_entry_rcu(e, &audit_tsklist, list) {
+                        if (audit_filter_rules(tsk, &e->rule, NULL, &state)) {
+                                spin_lock(&e->lock);
+                                if (e->deleted) {
+                                        spin_unlock(&e->lock);
+                                        rcu_read_unlock();
+                                        return AUDIT_BUILD_CONTEXT;
+                                }
+                                rcu_read_unlock();
+                                return state;
+                        }
+                }
+                rcu_read_unlock();
+                return AUDIT_BUILD_CONTEXT;
+        }
+
+Note that this example assumes that entries are only added and deleted.
+Additional mechanism is required to deal correctly with the
+update-in-place performed by audit_upd_rule().  For one thing,
+audit_upd_rule() would need additional memory barriers to ensure
+that the list_add_rcu() was really executed before the list_del_rcu().
+
+The audit_del_rule() function would need to set the "deleted"
+flag under the spinlock as follows:
+
+        static inline int audit_del_rule(struct audit_rule *rule,
+                                         struct list_head *list)
+        {
+                struct audit_entry  *e;
+
+                /* Do not use the _rcu iterator here, since this is the only
+                 * deletion routine. */
+                list_for_each_entry(e, list, list) {
+                        if (!audit_compare_rule(rule, &e->rule)) {
+                                spin_lock(&e->lock);
+                                list_del_rcu(&e->list);
+                                e->deleted = 1;
+                                spin_unlock(&e->lock);
+                                call_rcu(&e->rcu, audit_free_rule, e);
+                                return 0;
+                        }
+                }
+                return -EFAULT;         /* No matching rule */
+        }
+
+
+Summary
+
+Read-mostly list-based data structures that can tolerate stale data are
+the most amenable to use of RCU.  The simplest case is where entries are
+either added or deleted from the data structure (or atomically modified
+in place), but non-atomic in-place modifications can be handled by making
+a copy, updating the copy, then replacing the original with the copy.
+If stale data cannot be tolerated, then a "deleted" flag may be used
+in conjunction with a per-entry spinlock in order to allow the search
+function to reject newly deleted data.
+
+
+Answer to Quick Quiz
+
+If the search function drops the per-entry lock before returning, then
+the caller will be processing stale data in any case.  If it is really
+OK to be processing stale data, then you don't need a "deleted" flag.
+If processing stale data really is a problem, then you need to hold the
+per-entry lock across all of the code that uses the value looked up.
diff --git a/Documentation/RCU/rcu.txt b/Documentation/RCU/rcu.txt
new file mode 100644
index 0000000000..7e0c2ab6f2
--- /dev/null
+++ b/Documentation/RCU/rcu.txt
@@ -0,0 +1,67 @@
+RCU Concepts
+
+
+The basic idea behind RCU (read-copy update) is to split destructive
+operations into two parts, one that prevents anyone from seeing the data
+item being destroyed, and one that actually carries out the destruction.
+A "grace period" must elapse between the two parts, and this grace period
+must be long enough that any readers accessing the item being deleted have
+since dropped their references.  For example, an RCU-protected deletion
+from a linked list would first remove the item from the list, wait for
+a grace period to elapse, then free the element.  See the listRCU.txt
+file for more information on using RCU with linked lists.
+
+
+Frequently Asked Questions
+
+o       Why would anyone want to use RCU?
+
+        The advantage of RCU's two-part approach is that RCU readers need
+        not acquire any locks, perform any atomic instructions, write to
+        shared memory, or (on CPUs other than Alpha) execute any memory
+        barriers.  The fact that these operations are quite expensive
+        on modern CPUs is what gives RCU its performance advantages
+        in read-mostly situations.  The fact that RCU readers need not
+        acquire locks can also greatly simplify deadlock-avoidance code.
+
+o       How can the updater tell when a grace period has completed
+        if the RCU readers give no indication when they are done?
+
+        Just as with spinlocks, RCU readers are not permitted to
+        block, switch to user-mode execution, or enter the idle loop.
+        Therefore, as soon as a CPU is seen passing through any of these
+        three states, we know that that CPU has exited any previous RCU
+        read-side critical sections.  So, if we remove an item from a
+        linked list, and then wait until all CPUs have switched context,
+        executed in user mode, or executed in the idle loop, we can
+        safely free up that item.
+
+o       If I am running on a uniprocessor kernel, which can only do one
+        thing at a time, why should I wait for a grace period?
+
+        See the UP.txt file in this directory.
+
+o       How can I see where RCU is currently used in the Linux kernel?
+
+        Search for "rcu_read_lock", "call_rcu", and "synchronize_kernel".
+
+o       What guidelines should I follow when writing code that uses RCU?
+
+        See the checklist.txt file in this directory.
+
+o       Why the name "RCU"?
+
+        "RCU" stands for "read-copy update".  The file listRCU.txt has
+        more information on where this name came from, search for
+        "read-copy update" to find it.
+
+o       I hear that RCU is patented?  What is with that?
+
+        Yes, it is.  There are several known patents related to RCU,
+        search for the string "Patent" in RTFP.txt to find them.
+        Of these, one was allowed to lapse by the assignee, and the
+        others have been contributed to the Linux kernel under GPL.
+
+o       Where can I find more information on RCU?
+
+        See the RTFP.txt file in this directory.