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+<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN"
+ "http://www.w3.org/TR/html4/strict.dtd">
+<html>
+<head>
+ <title>LLVM Atomic Instructions and Concurrency Guide</title>
+ <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+ <link rel="stylesheet" href="llvm.css" type="text/css">
+</head>
+<body>
+
+<h1>
+ LLVM Atomic Instructions and Concurrency Guide
+</h1>
+
+<ol>
+ <li><a href="#introduction">Introduction</a></li>
+ <li><a href="#outsideatomic">Optimization outside atomic</a></li>
+ <li><a href="#atomicinst">Atomic instructions</a></li>
+ <li><a href="#ordering">Atomic orderings</a></li>
+ <li><a href="#iropt">Atomics and IR optimization</a></li>
+ <li><a href="#codegen">Atomics and Codegen</a></li>
+</ol>
+
+<div class="doc_author">
+ <p>Written by Eli Friedman</p>
+</div>
+
+<!-- *********************************************************************** -->
+<h2>
+ <a name="introduction">Introduction</a>
+</h2>
+<!-- *********************************************************************** -->
+
+<div>
+
+<p>Historically, LLVM has not had very strong support for concurrency; some
+minimal intrinsics were provided, and <code>volatile</code> was used in some
+cases to achieve rough semantics in the presence of concurrency. However, this
+is changing; there are now new instructions which are well-defined in the
+presence of threads and asynchronous signals, and the model for existing
+instructions has been clarified in the IR.</p>
+
+<p>The atomic instructions are designed specifically to provide readable IR and
+ optimized code generation for the following:</p>
+<ul>
+ <li>The new C++0x <code>&lt;atomic&gt;</code> header.
+ (<a href="http://www.open-std.org/jtc1/sc22/wg21/">C++0x draft available here</a>.)
+ (<a href="http://www.open-std.org/jtc1/sc22/wg14/">C1x draft available here</a>)</li>
+ <li>Proper semantics for Java-style memory, for both <code>volatile</code> and
+ regular shared variables.
+ (<a href="http://java.sun.com/docs/books/jls/third_edition/html/memory.html">Java Specification</a>)</li>
+ <li>gcc-compatible <code>__sync_*</code> builtins.
+ (<a href="http://gcc.gnu.org/onlinedocs/gcc/Atomic-Builtins.html">Description</a>)</li>
+ <li>Other scenarios with atomic semantics, including <code>static</code>
+ variables with non-trivial constructors in C++.</li>
+</ul>
+
+<p>Atomic and volatile in the IR are orthogonal; "volatile" is the C/C++
+ volatile, which ensures that every volatile load and store happens and is
+ performed in the stated order. A couple examples: if a
+ SequentiallyConsistent store is immediately followed by another
+ SequentiallyConsistent store to the same address, the first store can
+ be erased. This transformation is not allowed for a pair of volatile
+ stores. On the other hand, a non-volatile non-atomic load can be moved
+ across a volatile load freely, but not an Acquire load.</p>
+
+<p>This document is intended to provide a guide to anyone either writing a
+ frontend for LLVM or working on optimization passes for LLVM with a guide
+ for how to deal with instructions with special semantics in the presence of
+ concurrency. This is not intended to be a precise guide to the semantics;
+ the details can get extremely complicated and unreadable, and are not
+ usually necessary.</p>
+
+</div>
+
+<!-- *********************************************************************** -->
+<h2>
+ <a name="outsideatomic">Optimization outside atomic</a>
+</h2>
+<!-- *********************************************************************** -->
+
+<div>
+
+<p>The basic <code>'load'</code> and <code>'store'</code> allow a variety of
+ optimizations, but can lead to undefined results in a concurrent environment;
+ see <a href="#o_nonatomic">NonAtomic</a>. This section specifically goes
+ into the one optimizer restriction which applies in concurrent environments,
+ which gets a bit more of an extended description because any optimization
+ dealing with stores needs to be aware of it.</p>
+
+<p>From the optimizer's point of view, the rule is that if there
+ are not any instructions with atomic ordering involved, concurrency does
+ not matter, with one exception: if a variable might be visible to another
+ thread or signal handler, a store cannot be inserted along a path where it
+ might not execute otherwise. Take the following example:</p>
+
+<pre>
+/* C code, for readability; run through clang -O2 -S -emit-llvm to get
+ equivalent IR */
+int x;
+void f(int* a) {
+ for (int i = 0; i &lt; 100; i++) {
+ if (a[i])
+ x += 1;
+ }
+}
+</pre>
+
+<p>The following is equivalent in non-concurrent situations:</p>
+
+<pre>
+int x;
+void f(int* a) {
+ int xtemp = x;
+ for (int i = 0; i &lt; 100; i++) {
+ if (a[i])
+ xtemp += 1;
+ }
+ x = xtemp;
+}
+</pre>
+
+<p>However, LLVM is not allowed to transform the former to the latter: it could
+ indirectly introduce undefined behavior if another thread can access x at
+ the same time. (This example is particularly of interest because before the
+ concurrency model was implemented, LLVM would perform this
+ transformation.)</p>
+
+<p>Note that speculative loads are allowed; a load which
+ is part of a race returns <code>undef</code>, but does not have undefined
+ behavior.</p>
+
+
+</div>
+
+<!-- *********************************************************************** -->
+<h2>
+ <a name="atomicinst">Atomic instructions</a>
+</h2>
+<!-- *********************************************************************** -->
+
+<div>
+
+<p>For cases where simple loads and stores are not sufficient, LLVM provides
+ various atomic instructions. The exact guarantees provided depend on the
+ ordering; see <a href="#ordering">Atomic orderings</a></p>
+
+<p><code>load atomic</code> and <code>store atomic</code> provide the same
+ basic functionality as non-atomic loads and stores, but provide additional
+ guarantees in situations where threads and signals are involved.</p>
+
+<p><code>cmpxchg</code> and <code>atomicrmw</code> are essentially like an
+ atomic load followed by an atomic store (where the store is conditional for
+ <code>cmpxchg</code>), but no other memory operation can happen on any thread
+ between the load and store. Note that LLVM's cmpxchg does not provide quite
+ as many options as the C++0x version.</p>
+
+<p>A <code>fence</code> provides Acquire and/or Release ordering which is not
+ part of another operation; it is normally used along with Monotonic memory
+ operations. A Monotonic load followed by an Acquire fence is roughly
+ equivalent to an Acquire load.</p>
+
+<p>Frontends generating atomic instructions generally need to be aware of the
+ target to some degree; atomic instructions are guaranteed to be lock-free,
+ and therefore an instruction which is wider than the target natively supports
+ can be impossible to generate.</p>
+
+</div>
+
+<!-- *********************************************************************** -->
+<h2>
+ <a name="ordering">Atomic orderings</a>
+</h2>
+<!-- *********************************************************************** -->
+
+<div>
+
+<p>In order to achieve a balance between performance and necessary guarantees,
+ there are six levels of atomicity. They are listed in order of strength;
+ each level includes all the guarantees of the previous level except for
+ Acquire/Release. (See also <a href="LangRef.html#ordering">LangRef</a>.)</p>
+
+<!-- ======================================================================= -->
+<h3>
+ <a name="o_notatomic">NotAtomic</a>
+</h3>
+
+<div>
+
+<p>NotAtomic is the obvious, a load or store which is not atomic. (This isn't
+ really a level of atomicity, but is listed here for comparison.) This is
+ essentially a regular load or store. If there is a race on a given memory
+ location, loads from that location return undef.</p>
+
+<dl>
+ <dt>Relevant standard</dt>
+ <dd>This is intended to match shared variables in C/C++, and to be used
+ in any other context where memory access is necessary, and
+ a race is impossible. (The precise definition is in
+ <a href="LangRef.html#memmodel">LangRef</a>.)
+ <dt>Notes for frontends</dt>
+ <dd>The rule is essentially that all memory accessed with basic loads and
+ stores by multiple threads should be protected by a lock or other
+ synchronization; otherwise, you are likely to run into undefined
+ behavior. If your frontend is for a "safe" language like Java,
+ use Unordered to load and store any shared variable. Note that NotAtomic
+ volatile loads and stores are not properly atomic; do not try to use
+ them as a substitute. (Per the C/C++ standards, volatile does provide
+ some limited guarantees around asynchronous signals, but atomics are
+ generally a better solution.)
+ <dt>Notes for optimizers</dt>
+ <dd>Introducing loads to shared variables along a codepath where they would
+ not otherwise exist is allowed; introducing stores to shared variables
+ is not. See <a href="#outsideatomic">Optimization outside
+ atomic</a>.</dd>
+ <dt>Notes for code generation</dt>
+ <dd>The one interesting restriction here is that it is not allowed to write
+ to bytes outside of the bytes relevant to a store. This is mostly
+ relevant to unaligned stores: it is not allowed in general to convert
+ an unaligned store into two aligned stores of the same width as the
+ unaligned store. Backends are also expected to generate an i8 store
+ as an i8 store, and not an instruction which writes to surrounding
+ bytes. (If you are writing a backend for an architecture which cannot
+ satisfy these restrictions and cares about concurrency, please send an
+ email to llvmdev.)</dd>
+</dl>
+
+</div>
+
+
+<!-- ======================================================================= -->
+<h3>
+ <a name="o_unordered">Unordered</a>
+</h3>
+
+<div>
+
+<p>Unordered is the lowest level of atomicity. It essentially guarantees that
+ races produce somewhat sane results instead of having undefined behavior.
+ It also guarantees the operation to be lock-free, so it do not depend on
+ the data being part of a special atomic structure or depend on a separate
+ per-process global lock. Note that code generation will fail for
+ unsupported atomic operations; if you need such an operation, use explicit
+ locking.</p>
+
+<dl>
+ <dt>Relevant standard</dt>
+ <dd>This is intended to match the Java memory model for shared
+ variables.</dd>
+ <dt>Notes for frontends</dt>
+ <dd>This cannot be used for synchronization, but is useful for Java and
+ other "safe" languages which need to guarantee that the generated
+ code never exhibits undefined behavior. Note that this guarantee
+ is cheap on common platforms for loads of a native width, but can
+ be expensive or unavailable for wider loads, like a 64-bit store
+ on ARM. (A frontend for Java or other "safe" languages would normally
+ split a 64-bit store on ARM into two 32-bit unordered stores.)
+ <dt>Notes for optimizers</dt>
+ <dd>In terms of the optimizer, this prohibits any transformation that
+ transforms a single load into multiple loads, transforms a store
+ into multiple stores, narrows a store, or stores a value which
+ would not be stored otherwise. Some examples of unsafe optimizations
+ are narrowing an assignment into a bitfield, rematerializing
+ a load, and turning loads and stores into a memcpy call. Reordering
+ unordered operations is safe, though, and optimizers should take
+ advantage of that because unordered operations are common in
+ languages that need them.</dd>
+ <dt>Notes for code generation</dt>
+ <dd>These operations are required to be atomic in the sense that if you
+ use unordered loads and unordered stores, a load cannot see a value
+ which was never stored. A normal load or store instruction is usually
+ sufficient, but note that an unordered load or store cannot
+ be split into multiple instructions (or an instruction which
+ does multiple memory operations, like <code>LDRD</code> on ARM).</dd>
+</dl>
+
+</div>
+
+<!-- ======================================================================= -->
+<h3>
+ <a name="o_monotonic">Monotonic</a>
+</h3>
+
+<div>
+
+<p>Monotonic is the weakest level of atomicity that can be used in
+ synchronization primitives, although it does not provide any general
+ synchronization. It essentially guarantees that if you take all the
+ operations affecting a specific address, a consistent ordering exists.
+
+<dl>
+ <dt>Relevant standard</dt>
+ <dd>This corresponds to the C++0x/C1x <code>memory_order_relaxed</code>;
+ see those standards for the exact definition.
+ <dt>Notes for frontends</dt>
+ <dd>If you are writing a frontend which uses this directly, use with caution.
+ The guarantees in terms of synchronization are very weak, so make
+ sure these are only used in a pattern which you know is correct.
+ Generally, these would either be used for atomic operations which
+ do not protect other memory (like an atomic counter), or along with
+ a <code>fence</code>.</dd>
+ <dt>Notes for optimizers</dt>
+ <dd>In terms of the optimizer, this can be treated as a read+write on the
+ relevant memory location (and alias analysis will take advantage of
+ that). In addition, it is legal to reorder non-atomic and Unordered
+ loads around Monotonic loads. CSE/DSE and a few other optimizations
+ are allowed, but Monotonic operations are unlikely to be used in ways
+ which would make those optimizations useful.</dd>
+ <dt>Notes for code generation</dt>
+ <dd>Code generation is essentially the same as that for unordered for loads
+ and stores. No fences are required. <code>cmpxchg</code> and
+ <code>atomicrmw</code> are required to appear as a single operation.</dd>
+</dl>
+
+</div>
+
+<!-- ======================================================================= -->
+<h3>
+ <a name="o_acquire">Acquire</a>
+</h3>
+
+<div>
+
+<p>Acquire provides a barrier of the sort necessary to acquire a lock to access
+ other memory with normal loads and stores.
+
+<dl>
+ <dt>Relevant standard</dt>
+ <dd>This corresponds to the C++0x/C1x <code>memory_order_acquire</code>. It
+ should also be used for C++0x/C1x <code>memory_order_consume</code>.
+ <dt>Notes for frontends</dt>
+ <dd>If you are writing a frontend which uses this directly, use with caution.
+ Acquire only provides a semantic guarantee when paired with a Release
+ operation.</dd>
+ <dt>Notes for optimizers</dt>
+ <dd>Optimizers not aware of atomics can treat this like a nothrow call.
+ It is also possible to move stores from before an Acquire load
+ or read-modify-write operation to after it, and move non-Acquire
+ loads from before an Acquire operation to after it.</dd>
+ <dt>Notes for code generation</dt>
+ <dd>Architectures with weak memory ordering (essentially everything relevant
+ today except x86 and SPARC) require some sort of fence to maintain
+ the Acquire semantics. The precise fences required varies widely by
+ architecture, but for a simple implementation, most architectures provide
+ a barrier which is strong enough for everything (<code>dmb</code> on ARM,
+ <code>sync</code> on PowerPC, etc.). Putting such a fence after the
+ equivalent Monotonic operation is sufficient to maintain Acquire
+ semantics for a memory operation.</dd>
+</dl>
+
+</div>
+
+<!-- ======================================================================= -->
+<h3>
+ <a name="o_acquire">Release</a>
+</h3>
+
+<div>
+
+<p>Release is similar to Acquire, but with a barrier of the sort necessary to
+ release a lock.
+
+<dl>
+ <dt>Relevant standard</dt>
+ <dd>This corresponds to the C++0x/C1x <code>memory_order_release</code>.</dd>
+ <dt>Notes for frontends</dt>
+ <dd>If you are writing a frontend which uses this directly, use with caution.
+ Release only provides a semantic guarantee when paired with a Acquire
+ operation.</dd>
+ <dt>Notes for optimizers</dt>
+ <dd>Optimizers not aware of atomics can treat this like a nothrow call.
+ It is also possible to move loads from after a Release store
+ or read-modify-write operation to before it, and move non-Release
+ stores from after an Release operation to before it.</dd>
+ <dt>Notes for code generation</dt>
+ <dd>See the section on Acquire; a fence before the relevant operation is
+ usually sufficient for Release. Note that a store-store fence is not
+ sufficient to implement Release semantics; store-store fences are
+ generally not exposed to IR because they are extremely difficult to
+ use correctly.</dd>
+</dl>
+
+</div>
+
+<!-- ======================================================================= -->
+<h3>
+ <a name="o_acqrel">AcquireRelease</a>
+</h3>
+
+<div>
+
+<p>AcquireRelease (<code>acq_rel</code> in IR) provides both an Acquire and a
+ Release barrier (for fences and operations which both read and write memory).
+
+<dl>
+ <dt>Relevant standard</dt>
+ <dd>This corresponds to the C++0x/C1x <code>memory_order_acq_rel</code>.
+ <dt>Notes for frontends</dt>
+ <dd>If you are writing a frontend which uses this directly, use with caution.
+ Acquire only provides a semantic guarantee when paired with a Release
+ operation, and vice versa.</dd>
+ <dt>Notes for optimizers</dt>
+ <dd>In general, optimizers should treat this like a nothrow call; the
+ the possible optimizations are usually not interesting.</dd>
+ <dt>Notes for code generation</dt>
+ <dd>This operation has Acquire and Release semantics; see the sections on
+ Acquire and Release.</dd>
+</dl>
+
+</div>
+
+<!-- ======================================================================= -->
+<h3>
+ <a name="o_seqcst">SequentiallyConsistent</a>
+</h3>
+
+<div>
+
+<p>SequentiallyConsistent (<code>seq_cst</code> in IR) provides
+ Acquire semantics for loads and Release semantics for
+ stores. Additionally, it guarantees that a total ordering exists
+ between all SequentiallyConsistent operations.
+
+<dl>
+ <dt>Relevant standard</dt>
+ <dd>This corresponds to the C++0x/C1x <code>memory_order_seq_cst</code>,
+ Java volatile, and the gcc-compatible <code>__sync_*</code> builtins
+ which do not specify otherwise.
+ <dt>Notes for frontends</dt>
+ <dd>If a frontend is exposing atomic operations, these are much easier to
+ reason about for the programmer than other kinds of operations, and using
+ them is generally a practical performance tradeoff.</dd>
+ <dt>Notes for optimizers</dt>
+ <dd>Optimizers not aware of atomics can treat this like a nothrow call.
+ For SequentiallyConsistent loads and stores, the same reorderings are
+ allowed as for Acquire loads and Release stores, except that
+ SequentiallyConsistent operations may not be reordered.</dd>
+ <dt>Notes for code generation</dt>
+ <dd>SequentiallyConsistent loads minimally require the same barriers
+ as Acquire operations and SequentiallyConsistent stores require
+ Release barriers. Additionally, the code generator must enforce
+ ordering between SequentiallyConsistent stores followed by
+ SequentiallyConsistent loads. This is usually done by emitting
+ either a full fence before the loads or a full fence after the
+ stores; which is preferred varies by architecture.</dd>
+</dl>
+
+</div>
+
+</div>
+
+<!-- *********************************************************************** -->
+<h2>
+ <a name="iropt">Atomics and IR optimization</a>
+</h2>
+<!-- *********************************************************************** -->
+
+<div>
+
+<p>Predicates for optimizer writers to query:
+<ul>
+ <li>isSimple(): A load or store which is not volatile or atomic. This is
+ what, for example, memcpyopt would check for operations it might
+ transform.</li>
+ <li>isUnordered(): A load or store which is not volatile and at most
+ Unordered. This would be checked, for example, by LICM before hoisting
+ an operation.</li>
+ <li>mayReadFromMemory()/mayWriteToMemory(): Existing predicate, but note
+ that they return true for any operation which is volatile or at least
+ Monotonic.</li>
+ <li>Alias analysis: Note that AA will return ModRef for anything Acquire or
+ Release, and for the address accessed by any Monotonic operation.</li>
+</ul>
+
+<p>To support optimizing around atomic operations, make sure you are using
+ the right predicates; everything should work if that is done. If your
+ pass should optimize some atomic operations (Unordered operations in
+ particular), make sure it doesn't replace an atomic load or store with
+ a non-atomic operation.</p>
+
+<p>Some examples of how optimizations interact with various kinds of atomic
+ operations:
+<ul>
+ <li>memcpyopt: An atomic operation cannot be optimized into part of a
+ memcpy/memset, including unordered loads/stores. It can pull operations
+ across some atomic operations.
+ <li>LICM: Unordered loads/stores can be moved out of a loop. It just treats
+ monotonic operations like a read+write to a memory location, and anything
+ stricter than that like a nothrow call.
+ <li>DSE: Unordered stores can be DSE'ed like normal stores. Monotonic stores
+ can be DSE'ed in some cases, but it's tricky to reason about, and not
+ especially important.
+ <li>Folding a load: Any atomic load from a constant global can be
+ constant-folded, because it cannot be observed. Similar reasoning allows
+ scalarrepl with atomic loads and stores.
+</ul>
+
+</div>
+
+<!-- *********************************************************************** -->
+<h2>
+ <a name="codegen">Atomics and Codegen</a>
+</h2>
+<!-- *********************************************************************** -->
+
+<div>
+
+<p>Atomic operations are represented in the SelectionDAG with
+ <code>ATOMIC_*</code> opcodes. On architectures which use barrier
+ instructions for all atomic ordering (like ARM), appropriate fences are
+ split out as the DAG is built.</p>
+
+<p>The MachineMemOperand for all atomic operations is currently marked as
+ volatile; this is not correct in the IR sense of volatile, but CodeGen
+ handles anything marked volatile very conservatively. This should get
+ fixed at some point.</p>
+
+<p>Common architectures have some way of representing at least a pointer-sized
+ lock-free <code>cmpxchg</code>; such an operation can be used to implement
+ all the other atomic operations which can be represented in IR up to that
+ size. Backends are expected to implement all those operations, but not
+ operations which cannot be implemented in a lock-free manner. It is
+ expected that backends will give an error when given an operation which
+ cannot be implemented. (The LLVM code generator is not very helpful here
+ at the moment, but hopefully that will change.)</p>
+
+<p>The implementation of atomics on LL/SC architectures (like ARM) is currently
+ a bit of a mess; there is a lot of copy-pasted code across targets, and
+ the representation is relatively unsuited to optimization (it would be nice
+ to be able to optimize loops involving cmpxchg etc.).</p>
+
+<p>On x86, all atomic loads generate a <code>MOV</code>.
+ SequentiallyConsistent stores generate an <code>XCHG</code>, other stores
+ generate a <code>MOV</code>. SequentiallyConsistent fences generate an
+ <code>MFENCE</code>, other fences do not cause any code to be generated.
+ cmpxchg uses the <code>LOCK CMPXCHG</code> instruction.
+ <code>atomicrmw xchg</code> uses <code>XCHG</code>,
+ <code>atomicrmw add</code> and <code>atomicrmw sub</code> use
+ <code>XADD</code>, and all other <code>atomicrmw</code> operations generate
+ a loop with <code>LOCK CMPXCHG</code>. Depending on the users of the
+ result, some <code>atomicrmw</code> operations can be translated into
+ operations like <code>LOCK AND</code>, but that does not work in
+ general.</p>
+
+<p>On ARM, MIPS, and many other RISC architectures, Acquire, Release, and
+ SequentiallyConsistent semantics require barrier instructions
+ for every such operation. Loads and stores generate normal instructions.
+ <code>cmpxchg</code> and <code>atomicrmw</code> can be represented using
+ a loop with LL/SC-style instructions which take some sort of exclusive
+ lock on a cache line (<code>LDREX</code> and <code>STREX</code> on
+ ARM, etc.). At the moment, the IR does not provide any way to represent a
+ weak <code>cmpxchg</code> which would not require a loop.</p>
+</div>
+
+<!-- *********************************************************************** -->
+
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