PPT-CSE 489/589

Modern Networking Concepts Lu Su Department of Computer Science and Engineering State University of New York at Buffalo httpwwwcsebuffaloedulusu Todays Agenda A brief overview of the . That can lead to either increasing the clock speed or decreasing the power consumption Multiprocessing can be also used to increase speed or reduce power brPage 2br YORK UNIVERSITY CSE4210 Pipelining ab yn xn2 xn1 xn tion multiplica one and additi 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. CSE2331/5331. Topic 8:. Binary Search Tree. . Data structure. . Operations. . . CSE 2331/5331. Set Operations. Maximum. Extract-Max. Insert. Increase-key. Search. Delete. Successor. Predecessor. Compiler Construction. Scanner. Regex. Automata. Hand-Written Scanner. Grammars. . & BNF. Next. Spring 2014. Jim Hogg - UW - CSE P501. B-. 1. Spring 2014. Jim Hogg - UW - CSE P501. A-. 2. Source. CSE 2331/5331. Topic 10:. Basic Graph Alg.. . Representations . Basic traversal algorithms. . Topological . sort. . CSE 2331/5331. What Is A Graph. Graph G = (V, E). V: set of nodes. E: set of edges. Hash Tables. Hunter Zahn (for Richard Anderson). Spring 2016. UW CSE 332, Spring 2016. 2. Announcements . . UW CSE 332, Spring 2016. 3. AVL find, insert, delete: O(log n). Suppose (unique) keys between 0 and 1000.. P-. 1. CSE P 501 – Compilers. Register Allocation. Hal Perkins. Autumn 2011. 11/22/2011. © 2002-11 Hal Perkins & UW CSE. P-. 2. Agenda. Register allocation constraints. Local methods. Faster compile, slower code, but good enough for lots of things (JITs, …). Graphs and Graph Traversals. Kate Deibel. Summer 2012. July 25, 2012. CSE 332 Data Abstractions, Summer 2012. 1. Last Time. We introduced the idea of graphs and their associated terminology. Key terms included:. Gary Cottrell. Computer Science and Engineering Department. Institute for Neural Computation. Temporal Dynamics of Learning Center. UCSD. 4/11/17. CSE 87. 2. Introduction. Your brain is made up of 10. 1. Topic. How do nodes share a single link? Who sends when, e.g., in . WiFI. ?. Explore with a simple model. Assume no-one is in charge; this is a distributed system. CSE 461 University of Washington. nrnnrnrrrnnrnrnrnrnrrnrnnrnrnnnnnnnrn nnnnrnrnnnnrn nrnnnnnnnnnnnnnn - nrnr/-01234n5nr6rnnnnr7n8nrr9nnn9nnnr5n9nn64 -nnnnn23nnnnnrnr5nr6rnn7-nn9nrnnnrrnnnrrnnnrn-11nrnnrnn-nrrnrr/ rnrnrnnnnrn-n9nrrnr -34I/-9118DH14/F4/-34501-3/84-424//4094-3-34I/-9118DH14/U--04/-39549-549410-6---249344-3-/1-9-94104/-31-324-34-30-x00006-4P4-32149/59--91-30/2-925354-0-6I-1-4-34I/-9118DH14/W4-3-45-3/L1-9-6SL/1489-4/- Downloaded from http://rupress.org/jem/article-pdf/171/2/489/1100094/489.pdf by guest on 23 August 2022 Downloaded from http://rupress.org/jem/article-pdf/171/2/489/1100094/489.pdf by guest on 23 Augu 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.