Global interpreter lock

Global interpreter lock (GIL) is a mechanism used in computer language interpreters to synchronize the execution of threads so that only one native thread can execute at a time.[1] An interpreter that uses GIL always allows exactly one thread to execute at a time, even if run on a multi-core processor. Some popular interpreters that have GIL are CPython and Ruby MRI.

Technical background concepts

A global interpreter lock (GIL) is a mutual-exclusion lock held by a programming language interpreter thread to avoid sharing code that is not thread-safe with other threads. In implementations with a GIL, there is always one GIL for each interpreter process. CPython and Ruby MRI use GILs.

Applications running on implementations with a GIL can be designed to use separate processes to achieve full parallelism, as each process has its own interpreter and in turn has its own GIL. Otherwise, the GIL can be a significant barrier to parallelism.

Benefits and drawbacks

Use of a global interpreter lock in a language effectively limits the amount of parallelism reachable through concurrency of a single interpreter process with multiple threads. If the process is almost purely made up of interpreted code and does not make calls outside of the interpreter for long periods of time (which can release the lock on the GIL on that thread while it processes), there is likely to be very little increase in speed when running the process on a multiprocessor machine. Due to signaling with a CPU-bound thread, it can cause a significant slowdown, even on single processors.[2]

Reasons for employing such a lock include:

Examples

Some language implementations that implement a global interpreter lock are CPython, the most widely used implementation of Python,[3][4] and Ruby MRI, the reference implementation of Ruby (where it is called Global VM Lock).

JVM-based equivalents of these languages (Jython and JRuby) do not use global interpreter locks. IronPython and IronRuby are implemented on top of Microsoft's Dynamic Language Runtime and also avoid using a GIL.[5]

See also

References

  1. ↑ "GlobalInterpreterLock". Retrieved 30 November 2015.
  2. ↑ David Beazley (2009-06-11). "Inside the Python GIL" (PDF). Chicago: Chicago Python User Group. Retrieved 2009-10-07. External link in |publisher= (help)
  3. ↑ Shannon -jj Behrens (2008-02-03). "Concurrency and Python". Dr. Dobb's Journal. p. 2. Retrieved 2008-07-12. The GIL is a lock that is used to protect all the critical sections in Python. Hence, even if you have multiple CPUs, only one thread may be doing "pythony" things at a time.
  4. ↑ Python/C API Reference Manual: Thread State and the Global Interpreter Lock
  5. ↑ "IronPython at python.org". python.org. Retrieved 2011-04-04. IronPython has no GIL and multi-threaded code can use multi core processors.
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