PPT-Heaps And Priority Queues

Lecture 16 CS2110 Fall 2017 Abstract vs concrete data structures Abstract data structures are interfaces they specify only interface method names and specs not implementation method bodies fields . Priority queues are fundamental in the design of modern multiprocessor algorithms with many classical applications ranging from numerical algorithms through discrete event simulation and expert systems While highly scalable approaches have been intr Data . Structures. Self-Adjusting. Data . Structures. 2. Lists. [D.D. . Sleator. , R.E. . Tarjan. , . Amortized Efficiency of List Update Rules. , Proc. 16. th. Annual ACM Symposium on Theory of Computing, 488-492, 1984]. COL 106. Shweta Agrawal and . Amit. Kumar. 2. Revisiting FindMin. Application: Find the smallest ( or highest priority) item quickly. Operating system. needs to schedule jobs according to priority instead of FIFO. . Schütze. and Christina . Lioma. Lecture . 20: Crawling. 1. Overview. . R. ecap . . A simple crawler. . A real crawler. 2. Outline. . R. ecap . . A simple crawler. . A real crawler. 3. 4. Search. Heap and Priority . queue. Any feature here?. Heap. No . particular relationship among nodes on any given level, even among the . siblings. When . a heap is a complete binary tree, it has a smallest possible height—a heap with N nodes always has . Lecture 16. CS2110 Spring 2015. Readings and Homework. Read Chapter 26. “A Heap Implementation” to learn about heaps. Exercise: . Salespeople often make matrices that show all the great features of their product that the competitor’s product lacks. Try this for a heap versus a BST. First, try and . Data . Structures. Self-Adjusting. Data . Structures. 2. Lists. [D.D. . Sleator. , R.E. . Tarjan. , . Amortized Efficiency of List Update Rules. , Proc. 16. th. Annual ACM Symposium on Theory of Computing, 488-492, 1984]. Sections 6.1 to 6.5. 2. Priority Queues. Regular . queue. supports. First In, First Out. Enqueue. (): add a new element. Dequeue. (): remove . oldest element . in queue. Data structure supports. Insert(): add a new element. Lecture . 16. CS2110 . Spring 2017. Announcements. Next week’s section: make your . BugTrees. . hashable. .. Watch the tutorial videos on hashing:. http://. www.cs.cornell.edu/courses/cs2110/2017sp/online/hashing/01hashing.html. Queues. 2. The Queue ADT. The . Queue. ADT stores arbitrary . objects. Insertions and deletions follow the first-in first-out . scheme (FIFO). Insertions are at the rear of the queue and removals are at the front of the . Prof. . Neary. Based on slides from previous iterations of this course. Today’s Topics. Review of Min Heaps. Introduction of Left-. ist. Heaps. Merge Operation. Heap Operations. Review of Heaps. Min Binary Heap. CS232 – Lecture 9. Chapter 9: Priority Queues, Heaps, and Graphs. 9.1 – Priority Queues. 9.2 – Heaps. 9.3 – Introduction to Graphs. 9.4 – Formal Specification of a Graph ADT. 9.5 – Graph Applications. Making queues a first class citizen : Abstracting queues in the UApi Magnus Karlsson & Björn Töpel, Intel Problem Statement 2 bind(af_xdp_fd, netdev, queue_id) Ethtool using queue_id UAPI Drivers decide what queue ids to use for what. No standard QUeues. Today. HW 2 grades went out yesterday. Many of the problems seemed to be a problem with rigor. In proofs, justify what you’re saying and make as much explicit as you can. Today. HW 2 grades went out yesterday.