'Dynamic data structures' presentation slideshows

Commutativity Analysis: A New Analysis Framework for Parallelizing Compilers

Commutativity Analysis: A New Analysis Framework for Parallelizing Compilers. Martin C. Rinard Pedro C. Diniz University of California, Santa Barbara Santa Barbara, California 93106 {martin,pedro}@cs.ucsb.edu http://www.cs.ucsb.edu/~{martin,pedro}. Goal.

864 views • 69 slides

Linear Linked Structures

Linear Linked Structures. Dynamic Structures. collections limitations of static structures (i.e. arrays) fixed size waste space rearrangement of entries dynamic data structures change size over time storage proportional to amount of information linked structures

838 views • 67 slides

Bluespec

Bluespec. Lectures 1 & 2. Contact Information. Satnam Singh Email: satnams@microsoft.com Web: http://research.microsoft.com/~satnams Lecture notes and other Bluespec information: http://cas.ee.ic.ac.uk/~ssingh. Objectives. What is Bluespec? What is the design flow?

847 views • 66 slides

Chapter 3

Chapter 3. Topics. Arrays Singly Linked Lists Doubly Linked Lists Circularly List Lists and List Reversal Recursion. Arrays. Collection of n elements stored in a certain linear order (same type) Range [0,n-1] Index of an element is the number of elements that precede the element

854 views • 66 slides

CS203 Lecture 6

CS203 Lecture 6 . John Hurley Cal State LA.

699 views • 60 slides

Data Structures

Data Structures. Self-referential structures Dynamic memory allocation Linked lists Stacks Queues Trees. Dynamic Data Structures. Linked lists Insert & delete anywhere in the list Stacks Insert & delete at the top Used in compilers & operating systems Queues

591 views • 49 slides

Software Defenses

Software Defenses. (based on Ch. 10 and 11 of Stallings and Brown). Last time: Buffer Overflows. a very common attack mechanism first widely used by the Morris Worm in 1988 still of major concern legacy of buggy code in widely deployed operating systems and applications

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Software Transactional Memory

694 views • 47 slides

Algorithms and Modern Computer Science

Algorithms and Modern Computer Science. Dr. Marina L. Gavrilova. Dept of Comp. Science, University of Calgary, AB, Canada, T2N1N4. Presentation outline. About my research Data structures and algorithms to be studied Application areas Optimization and computer modeling

571 views • 46 slides

CPS 110 210 310 Introduction to Operating Systems Fall 2013

CPS 110 210 310 Introduction to Operating Systems Fall 2013. Jeff Chase Duke University. Resources to know about. Course Web http://www.cs.duke.edu/~chase/cps310 Or other links through CS department

548 views • 43 slides

Computer Science: An Overview Tenth Edition by J. Glenn Brookshear

Chapter 8: Data Abstractions. Computer Science: An Overview Tenth Edition by J. Glenn Brookshear With modifications by Marie desJardins for CMSC 100, UMBC, Fall 2008. Chapter 8: Data Abstractions. 8.1 Data Structure Fundamentals 8.2 Implementing Data Structures 8.3 A Short Case Study

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735 views • 36 slides

Why Study Assembler?

Why Study Assembler?. Why Should a Computer Science Major Learn Assembler Language? (Nobody uses it!) Edward L. Bosworth, PhD Columbus State University Columbus, GA. Outline of Talk. Introduce self Discuss levels of languages: high-level and assembler are the levels of interest here.

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Topic 11 Linked Lists

Topic 11 Linked Lists.

429 views • 33 slides

CS-240 Data Structures in C Arrays

CS-240 Data Structures in C Arrays. Dick Steflik. Abstract Data Type. A collection of pairs <index,value> where index is an ordered set of integers and are values of some data type that is constant for the array.

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Chapter 14: Dynamic Data Structures

Chapter 14: Dynamic Data Structures. Problem Solving and Program Design in C 5th Edition by Jeri R. Hanly and Elliot B. Koffman. Figure 14.1 Comparison of Pointer and Nonpointer Variables. Figure 14.2 Function with Pointers as Output Parameters.

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TCA

TCA. Section A : 40% Case study Create ER Level 2 and attributes Section B : 60% 30 Questions 2 marks correct answer -1 mark deducted for an incorrect answer. TCA. January Monday 13 th 1 - 2.30 N133A. Modules Topics. Data Modelling the ER Model SQL File Organisation DBMS

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CSCE 110 PROGRAMMING FUNDAMENTALS WITH C++

CSCE 110 PROGRAMMING FUNDAMENTALS WITH C++. Prof. Amr Goneid AUC Part 0. Course Outline. Course Resources. Instructor: Prof. Amr Goneid E-mail: goneid@aucegypt.edu Office: Rm 2152 SSE

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PRACTICAL DATA STRUCTURES USING C/C++ Chapter 1 Introduction

PRACTICAL DATA STRUCTURES USING C/C++ Chapter 1 Introduction. Email: cjtsai@cc.ncue.edu.tw Tel: 04-7232105 ext.3242 . ??? ??? ??? (Cheng-Jung Tsai). textbook. Practical Data Structure Using C/C++

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What is EECS 280 ?

207 views • 8 slides