Hoard memory allocator

The Hoard memory allocator, or Hoard, is a memory allocator for Linux, OS X, and Microsoft Windows. Hoard is designed to be efficient when used by multithreaded applications on multiprocessor computers. Hoard is distributed under the Apache License, version 2.0.

Hoard
Original author(s)Emery Berger, Kathryn S. McKinley, Robert D. Blumofe, Paul R. Wilson
Developer(s)Emery Berger
Initial releaseSeptember 29, 1999 (1999-09-29)
Stable release
3.13 / January 1, 2019 (2019-01-01)
Repository
Operating systemLinux, OS X, Microsoft Windows
Available inC++
TypeMemory allocation
LicenseApache License v2
Websitehoard.org

History

In 2000, its author Emery Berger benchmarked some famous memory allocators and stated Hoard improves the performance of multithreaded applications by providing fast, scalable memory management functions (malloc and free). In particular, it reduces contention for the heap (the central data structure used in dynamic memory allocation) caused when multiple threads allocate or free memory, and avoids the false sharing that can be introduced by memory allocators. At the same time, Hoard has strict bounds on fragmentation.[1]

Hoard continues to be maintained and improved, and is in use by a number of open source and commercial projects.[2][3]

It has also inspired changes to other memory allocators such as the one in OS X since February 2008 (first released in Mac OS X Snow Leopard).[4][5]

See also

References

  1. Berger, E. D.; McKinley, K. S.; Blumofe, R. D.; Wilson, P. R. (November 2000). Hoard: A Scalable Memory Allocator for Multithreaded Applications (PDF). ASPLOS-IX. Proceedings of the ninth international conference on Architectural support for programming languages and operating systems. pp. 117–128. CiteSeerX 10.1.1.1.4174. doi:10.1145/378993.379232. ISBN 1-58113-317-0.
  2. "An alternative Memory Allocator for the standard glibc". 2007-09-16. Archived from the original on 2011-10-07.
  3. "GNU Common C++ Downloading".
  4. "I'm a Mac (or, "Emery Inside")". 26 October 2010.
  5. "A look at how malloc works on the Mac".
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