Basic Data Structures and Algorithms in the Linux Kernel

原文地址：http://luisbg.blogalia.com/historias/74062#677101

linux 2.6 : https://github.com/wusuopubupt/linux-2.6

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.