'Bit vector' presentation slideshows

SMT Solvers (an extension of SAT)

1.01k views • 84 slides

Scalable Context-sensitive Points-to Analysis using Multi-dimensional Bloom Filter.

Rupesh Nasre. Indian Institute of Science, India. Jointly with: Dr. Kaushik Rajan, Prof. R. Govindarajan, Prof. Uday P. Khedker. Dec 14, 2009. Scalable Context-sensitive Points-to Analysis using Multi-dimensional Bloom Filter. Outline. Introduction and Motivation. Bloom filter.

673 views • 53 slides

Map, Set & Bit-Vector

Map, Set & Bit-Vector. Discrete Mathematics and Its Applications Baojian Hua bjhua@ustc.edu.cn. Map. Map Interface. signature type map type key type value map newMap (); void mapInsert (map m, key k, value v); value mapLookup (map m, key k);

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Discourse Structure and Discourse Coherence

Discourse Structure and Discourse Coherence. Julia Hirschberg CS 4705. Thanks to Dan Jurafsky, Diane Litman, Andy Kehler, Jim Martin . What makes a text or dialogue coherent? .

890 views • 49 slides

Chapter 2 Representing and Manipulating Information

Chapter 2 Representing and Manipulating Information. Prof. Qi Tian CS 3843 Fall 2013 http://www.cs.utsa.edu/~qitian/CS3843/. Summary of Lectures. 09-30-2013 (Monday) Section 2.4.4 Rounding Example In-class Quiz 2 Reminder: Midterm 1 on Monday Oct. 7, 2013

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ECE 454 Computer Systems Programming CPU Architectures

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455 views • 31 slides

Improved Index Compression Techniques for Versioned Document Collections

Improved Index Compression Techniques for Versioned Document Collections. Jinru He, Junyuan Zeng, and Torsten Suel Computer Science & Engineering Polytechnic Institute of NYU. Content of this Talk. Introduction Related work Our improved approaches Conclusion and future work. Introduction.

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A Machine Learning Approach to Android Malware Detection

A Machine Learning Approach to Android Malware Detection. Justin Sahs and Prof. Latifur Khan. The Problem. Smartphones represent a significant and growing proportion of computing devices Android in particular is the fastest growing smartphone platform, and has 52.5% market share*

1.26k views • 29 slides

Signals vs. Variables Workshop Fri/Sat Test bench creation Misc IP Cores Chipscope Pro

Signals vs. Variables Workshop Fri/Sat Test bench creation Misc IP Cores Chipscope Pro When Demos due. Signals vs. Variables. Simple Code. Testbench Code. signal sig_s1: std_logic_vector(3 downto 0) := "0000"; begin proc1: process(clk)

427 views • 19 slides

Hardware Support for Dynamic Memory Management

Hardware Support for Dynamic Memory Management. J. Morris Chang Witawas Srisa-an Chia-Tien Dan Lo Illinois Institute of Technology Edward F. Gehringer North Carolina State University. The Problem. O-o applications make frequent requests for dynamic memory.

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Announcements: Homework 3 due now Homework 4 posted Today: Attacks on DES Questions?

DTTF/NB479: Dszquphsbqiz Day 14. Announcements: Homework 3 due now Homework 4 posted Today: Attacks on DES Questions?. DES can be broken by has been showing signs of weakness from the beginning. 1975. 1993. 1987. 2000. 2011. 1977. 1992.

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Logical Imperative Language (LIMP)

Logical Imperative Language (LIMP). Carlos Tafoya and John Kaplar. The Problem.

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Duplicate Detection in Click Streams(2005) SubtitleAhmed Metwally Divyakant Agrawal Amr El Abbadi

Duplicate Detection in Click Streams(2005) SubtitleAhmed Metwally Divyakant Agrawal Amr El Abbadi. Tian Wang. Goal of the paper Detect Duplicate click. Approach Sliding window, Landmark window, Jumping windows. Bloom Filters Algorithm. Sliding Windows Query latest N click in the stream.

272 views • 13 slides

VHDL

VHDL. entity adder is port (a :in bit_vector(7 downto 0); b :in bit_vector(7 downto 0); ci :in bit; s :out bit_vector(7 downto 0); co :out bit); end adder; architecture logic of adder is

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? 6 ? VHDL NUMBERS, STRINGS, AND EXPRESSIONS

? 6 ? VHDL NUMBERS, STRINGS, AND EXPRESSIONS. ?????????? ??? pierre@mail.isu.edu.tw. 1. Numeric Constants. Numeric contants can be defined, and can be of any base (default is decimal). Numbers may include embedded underscores to improve readability.

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Global Common Subexpression Elimination

Global Common Subexpression Elimination. Available Expression Analysis Eliminating CSEs Dragon : pp. 627- 631, 633 - 636. add t1 = x, y add t2 = c, d. ldc t3 = 0 cpy x = t3 add t4 = x, y cpy m = t4. sub t5 = a, b ldc t6 = -1 cpy c = t6. sub t7 = a, b cpy m = t7 add t8 = x, y

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Chip Multi Processors are becoming mainstream Cache data access is a major bottleneck in CMPs

Software Systems Lab Department of Electrical Engineering, Technion. Introduction. Chip Multi Processors are becoming mainstream Cache data access is a major bottleneck in CMPs

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1. (20) The following is a DTD for books. Please produce an XML document conforming to the DTD.

Assignment #2 Due: Nov. 06, 2013. 1. (20) The following is a DTD for books. Please produce an XML document conforming to the DTD. <!DOCTYPE AuthorBook [ <!ELEMENT AuthorBook (Author*, Book*)> <!ELEMENT Author (Name, Address+)> <!ATTLIST Author AuthorId ID #REQUIRED

230 views • 3 slides