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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="_static/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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