PPT-CSE332: Data Abstractions

Lecture 5 Binary Heaps Continued Tyler Robison Summer 2010 1 Review 2 Priority Queue ADT insert comparable object deleteMin Binary heap data structure Complete binary tree where each node has a lesser priority than its parent greater value. Dictionary ADT. : Arrays, Lists and . Trees. Kate Deibel. Summer 2012. June 27, 2012. CSE 332 Data Abstractions, Summer 2012. 1. Where We Are. Studying the absolutely essential ADTs of computer science and classic data structures for implementing them. Chris Rossbach, Microsoft Research. Jon Currey, Microsoft Research. Emmett . Witchel. , University of Texas at Austin. HotOS. 2011. Lots of GPUs. Must they be so hard to use?. We need dataflow…. GPU Haiku . for . SoC. . Verification. Pramod Subramanyan. , . Yakir. . Vizel. , . Sayak. Ray and Sharad . Malik. FMCAD . 2015. On-chip Interconnect. CPU. GPU. Camera. Touch. Flash. DMA. WiFi. /3G. GPS. …. MMU+. String . Verification. Given a string manipulating program, . string . analysis . determines . all possible values . that a string expression can take during any program execution. Using string analysis we . Lecture 21: Amortized Analysis. Dan Grossman. Spring 2010. Amortized . Recall our plain-old stack implemented as an array that doubles its size if it runs out of room. How can we claim . push. is . O. 6/16/2010. Parallel Programming Abstractions. 1. Tasks . vs. Threads. Similar but not the same.. 6/16/2010. Parallel Programming Abstractions. 2. h/w processors. Operating System. T. hreads. Task Scheduler. Eurocrypt. May 1. st. , 2017. Rafael Pass, Elaine Shi, . Florian Tramèr. Trusted hardware: . Different . communities. , different . world views. Crypto. Architecture. Systems. & . Security. “Minimal” trusted . Lecture . 27. : . A Few Words on NP. Dan Grossman. Spring 2010. This does not belong in CSE332. This lecture mentions some highlights of . NP. , the . P. vs. . NP. question, and . NP. -completeness. Lecture 7: AVL Trees. Tyler Robison. Summer 2010. 1. The AVL Tree Data Structure. An AVL tree is a BST. In addition: Balance . property:. balance of every node is. between -1 and . 1. balance. (. node. Cynthia Lee. CS106X. Today’s Topics. Quick final exam discussion. Details/logistics, topics, sources for practice problems. Quarter wrap-up. Putting it all together: what have we accomplished together this quarter?. Priority Queues, Heaps, and a Small Town Barber. Kate Deibel. Summer 2012. June 25, 2012. CSE 332 Data Abstractions, Summer 2012. 1. Announcements. David's Super Awesome Office Hours. Mondays 2:30-3:30 CSE 220. Lecture 19: Analysis of Fork-Join Parallel Programs. Dan Grossman. Spring 2010. Where are we. Done:. How to use . fork. , and . join. to write a parallel algorithm. Why using divide-and-conquer with lots of small tasks is best. Lecture 2: Math Review; Algorithm Analysis. Dan Grossman. Spring 2010. Announcements. Project 1 posted. Section materials on using Eclipse will be very useful if you have never used it. (Could also start in a different environment if necessary). Lecture 9: B Trees. Dan Grossman. Spring 2010. Our goal. Problem: A dictionary with so much data most of it is on disk. Desire: A balanced tree (logarithmic height) that is even shallower than AVL trees so that we can minimize disk accesses and exploit disk-block size.