PPT-CSE 332: Data Abstractions

Asymptotic Analysis Spring 2016 Richard Anderson Lecture 3 2 Announcements Office hours Richard Anderson M 330430 pm CSE 582 W 330430 pm CSE 582 Hunter Zahn Tu 100200 pm CSE 220. All Programmable Abstractions push beyond traditional RTL design methodologies to automate all aspects of system development and algorithm deployment into all programmable FPGAs SoC and 3D ICs Xilinx and its Alliance members are working together to 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. Watercolor Paint - Abstractions. Watercolor Paint – Non-Representational. Pastel Abstractions. 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. Spring 2016. Richard Anderson. Lecture . 2. 2. Announcements. Homework requires you get the textbook (Either 2. nd. or 3. rd. Edition). Section . Thursday. Homework #1 out today (Wednesday). Due at the . 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. 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. Chapter 1 — Computer Abstractions and Technology — . 2. Classes of Computers. Personal computers. General purpose, variety of software. Subject to cost/performance tradeoff. Server computers. Network based. 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 6: Dictionaries; Binary Search Trees. Dan Grossman. Spring 2010. Where we are. Studying the absolutely essential ADTs of computer science and classic data structures for implementing them. ADTs so far:. Lecture 15: Introduction to Graphs. Dan Grossman. Spring 2010. Graphs. A graph is a formalism for representing relationships among items. Very general definition because very general concept. A . graph. Thanks to Kasey Champion, Ben Jones, Adam Blank, Michael Lee, Evan McCarty, Robbie Weber, Whitaker Brand, Zora Fung, Stuart . Reges. , Justin Hsia, Ruth Anderson, and many others for sample slides and materials .... Lecture 5: Binary Heaps, Continued. Dan Grossman. Spring 2010. Review. Priority Queue ADT: . insert. comparable object, . deleteMin. Binary heap data structure: Complete binary tree where each node has priority value greater than its parent. Winter 2017. 1. Presentations on Monday. 2:30-4:20pm, Monday 3/13. No . more than 5 slides (including title slide. ). Time limit to be announced. Both partners should speak. Slides are due BY NOON (12pm) on Mon 3/13 to catalyst.