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1 [/
2 Copyright Oliver Kowalke 2013.
3 Distributed under the Boost Software License, Version 1.0.
4 (See accompanying file LICENSE_1_0.txt or copy at
5 http://www.boost.org/LICENSE_1_0.txt
6 ]
7
8 [section:overview Overview]
9
10 __boost_fiber__ provides a framework for micro-/userland-threads (fibers)
11 scheduled cooperatively.
12 The API contains classes and functions to manage and synchronize fibers similiarly to
13 __std_thread__.
14
15 Each fiber has its own stack.
16
17 A fiber can save the current execution state, including all registers
18 and CPU flags, the instruction pointer, and the stack pointer and later restore
19 this state.
20 The idea is to have multiple execution paths running on a single thread using
21 cooperative scheduling (versus threads, which are preemptively scheduled). The
22 running fiber decides explicitly when it should yield to allow another fiber to
23 run (context switching).
24 __boost_fiber__ internally uses __econtext__ from __boost_context__; the classes in
25 this library manage, schedule and, when needed, synchronize those execution contexts.
26 A context switch between threads usually costs thousands of CPU cycles on x86,
27 compared to a fiber switch with less than a hundred cycles.
28 A fiber runs on a single thread at any point in time.
29
30 In order to use the classes and functions described here, you can either include
31 the specific headers specified by the descriptions of each class or function, or
32 include the master library header:
33
34 #include <boost/fiber/all.hpp>
35
36 which includes all the other headers in turn.
37
38 The namespaces used are:
39
40 namespace boost::fibers
41 namespace boost::this_fiber
42
43 [heading Fibers and Threads]
44
45 Control is cooperatively passed between fibers launched on a given thread. At
46 a given moment, on a given thread, at most one fiber is running.
47
48 Spawning additional fibers on a given thread does not distribute your program
49 across more hardware cores, though it can make more effective use of the core
50 on which it's running.
51
52 On the other hand, a fiber may safely access any resource exclusively owned by
53 its parent thread without explicitly needing to defend that resource against
54 concurrent access by other fibers on the same thread. You are already
55 guaranteed that no other fiber on that thread is concurrently touching that
56 resource. This can be particularly important when introducing concurrency in
57 legacy code. You can safely spawn fibers running old code, using asynchronous
58 I/O to interleave execution.
59
60 In effect, fibers provide a natural way to organize concurrent code based on
61 asynchronous I/O. Instead of chaining together completion handlers, code
62 running on a fiber can make what looks like a normal blocking function call.
63 That call can cheaply suspend the calling fiber, allowing other fibers on the
64 same thread to run. When the operation has completed, the suspended fiber
65 resumes, without having to explicitly save or restore its state. Its local
66 stack variables persist across the call.
67
68 A fiber can be migrated from one thread to another, though the library does
69 not do this by default. It is possible for you to supply a custom scheduler
70 that migrates fibers between threads. You may specify custom fiber properties
71 to help your scheduler decide which fibers are permitted to migrate. Please
72 see [link migration Migrating fibers between threads] and [link custom
73 Customization] for more details.
74
75 A fiber launched on a particular thread continues running on that thread
76 unless migrated. It might be unblocked (see [link blocking Blocking] below) by
77 some other thread, but that only transitions the fiber from ["blocked] to
78 ["ready] on its current thread [mdash] it does not cause the fiber to
79 resume on the thread that unblocked it.
80
81 [#thread_local_storage]
82 [heading thread-local storage]
83 Unless migrated, a fiber may access thread-local storage; however that storage
84 will be shared among all fibers running on the same thread. For fiber-local
85 storage, please see __fsp__.
86
87 [#cross_thread_sync]
88 [heading BOOST_FIBERS_NO_ATOMICS]
89 The fiber synchronization objects provided by this library will, by default,
90 safely synchronize fibers running on different threads. However, this level of
91 synchronization can be removed (for performance) by building the library with
92 [*`BOOST_FIBERS_NO_ATOMICS`] defined. When the library is built with that macro,
93 you must ensure that all the fibers referencing a particular synchronization
94 object are running in the same thread. Please see [link synchronization
95 Synchronization].
96
97 [#blocking]
98 [heading Blocking]
99
100 Normally, when this documentation states that a particular fiber ['blocks] (or
101 equivalently, ['suspends),] it means that it yields control, allowing other
102 fibers on the same thread to run. The synchronization mechanisms provided by
103 __boost_fiber__ have this behavior.
104
105 A fiber may, of course, use normal thread synchronization mechanisms; however
106 a fiber that invokes any of these mechanisms will block its entire thread,
107 preventing any other fiber from running on that thread in the meantime. For
108 instance, when a fiber wants to wait for a value from another fiber in the
109 same thread, using `std::future` would be unfortunate: `std::future::get()` would
110 block the whole thread, preventing the other fiber from delivering its value.
111 Use __future__ instead.
112
113 Similarly, a fiber that invokes a normal blocking I/O operation will block its
114 entire thread. Fiber authors are encouraged to consistently use asynchronous
115 I/O. __boost_asio__ and other asynchronous I/O operations can
116 straightforwardly be adapted for __boost_fiber__: see [link callbacks
117 Integrating Fibers with Asynchronous Callbacks].
118
119 __boost_fiber__ depends upon __boost_context__.
120 Boost version 1.61.0 or greater is required.
121
122 [note This library requires C++11!]
123
124
125 [endsect]