Basic Data Structures and Algorithms in the Linux Kernel--reference

http://luisbg.blogalia.com/historias/74062

Thanks to  Vijay D'Silva's  brilliant answer in  cstheory.stackexchange.com I have been reading some of the famous data structures and algorithms used in the Linux Kernel. And so can you. 

Links based on  linux 2.6:

• • Linked lists, doubly linked lists, lock-free linked lists.
  • B+ Trees with comments telling you what you can't find in the textbooks.
  • Priority sorted lists used for mutexes, drivers, etc.
  • Red-Black trees are used are used for scheduling, virtual memory management, to track file descriptors and directory entries, etc.
  • Interval trees.
  • Radix trees, are used for memory management, NFS related lookups and networking related functionality.
  • Priority heap, which is literally, a textbook implementation, used in the control group system.
  • Hash functions, with a reference to Knuth and to a paper.
  • Some parts of the code, such as this driver, implement their own hash function.
  • Hash tables used to implement inodes, file system integrity checks, etc.
  • Bit arrays, which are used for dealing with flags, interrupts, etc. and are featured in Knuth Vol. 4.
  • Semaphores and spin locks.
  • Binary search is used for interrupt handling, register cache lookup, etc.
  • Binary search with B-trees.
  • Depth first search and variant used in directory configuration.
  • Breadth first search is used to check correctness of locking at runtime.
  • Merge sort on linked lists is used for garbage collection, file system management, etc.
  • Bubble sort is amazingly implemented too, in a driver library.
  • Knuth-Morris-Pratt string matching.
  • Boyer-Moore pattern matching with references and recommendations for when to prefer the alternative.

 

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