PPT-1 Computational Abstractions:

Strategies for Scaling Up Applications Douglas Thain University of Notre Dame Institute for Computational Economics University of Chicago 27 July 2012 The Cooperative Computing Lab The Cooperative Computing Lab. Enrico Pontelli. Department of Computer Science. New Mexico State University. The buzzword…. “Computational Thinking” . The thought processes involved in formulating problems and their solutions so that the solutions are represented in a form that can be effectively carried out by an information processing agent [Wing-. Abstraction. Abstraction. Goals. What is abstraction?. Is it teachable?. How to assess?. Abstraction has two facets. “Removing detail to simplify and focus attention” [p38]. “identifying the common core or essence” [p38]. Class Overview. web site: www.cs.vt.edu/~kafura/CS6604. Origins. Term first used by Seymour . Papert. (1996) . [Snow 2012]. “. In . both . cases the computer used as a tool effectively . leads . to a solution, but in neither does the . 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+. 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. 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. Authors: Kyu . Han . Koh et. al.. Presented . by : . Ali Anwar. ABOUT ME. B.Sc. Electrical Engineering, University of Engineering and Technology Lahore, Pakistan. M.Sc. Computer Engineering. , University of Engineering and Technology Lahore, . 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. Cynthia Lee. CS106B. 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?. CSE 332 Data Abstractions: A Heterozygous Forest of AVL, Splay, and B Trees Kate Deibel Summer 2012 July 2, 2012 CSE 332 Data Abstractions, Summer 2012 1 From last time… Binary search trees can give us great performance due to providing a structured binary search. 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:. 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.