'Algorithm design' presentation slideshows

Strings and Languages Operations

Strings and Languages Operations. Concatenation Exponentiation Kleene Star Regular Expressions. Strings and Language Operations. Concatenation Exponentiation Kleene star Pages 27-30 of the text Regular expressions Pages 71-75 of the text. String Concatenation.

2.93k views • 271 slides

Basic Communication Operations

Basic Communication Operations. Ananth Grama, Anshul Gupta, George Karypis, and Vipin Kumar. To accompany the text ``Introduction to Parallel Computing'', Addison Wesley, 2003 . Topic Overview . One-to-All Broadcast and All-to-One Reduction All-to-All Broadcast and Reduction

1.12k views • 70 slides

CS 267 Dense Linear Algebra: Parallel Matrix Multiplication

CS 267 Dense Linear Algebra: Parallel Matrix Multiplication. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr07. Outline. Recall BLAS = Basic Linear Algebra Subroutines Matrix-vector multiplication in parallel Matrix-matrix multiplication in parallel. Review of the BLAS.

880 views • 51 slides

The Promise of LP to Boost CSP Techniques for Combinatorial Problems

The Promise of LP to Boost CSP Techniques for Combinatorial Problems. Carla P. Gomes gomes@cs.cornell.edu David Shmoys shmoys@cs.cornell.edu Department of Computer Science School of Operations Research and Industrial Engineering Cornell University CP-AI-OR 2002. Motivation.

635 views • 47 slides

Algorithm Design and Analysis (ADA)

Algorithm Design and Analysis (ADA). 242-535 , Semester 1 2013-2014. Objective to introduce mathematical induction through examples . 1. M athematical Induction. Overview. 1 . Motivation 2 . Induction Defined 3 . Maths Notation Reminder 4 . Four Examples

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Chapter 7

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CSCE 330 Programming Language Structures Chapter 1: Introduction

CSCE 330 Programming Language Structures Chapter 1: Introduction. Fall 2007 Marco Valtorta mgv@cse.sc.edu. Textbooks. Ghezzi and Jazayeri The main textbook History and general concepts Syntax and semantics Imperative languages Functional languages Declarative languages

566 views • 29 slides

Copperhead: A Python-like Data Parallel Language & Compiler

Bryan Catanzaro, UC Berkeley Michael Garland, NVIDIA Research Kurt Keutzer, UC Berkeley. Copperhead: A Python-like Data Parallel Language & Compiler. Universal Parallel Computing Research Center University of California, Berkeley. Intro to CUDA. Overview Multicore/Manycore SIMD

385 views • 28 slides

266 views • 26 slides

Lecture 4 Loops

Lecture 4 Loops. Looping Constructs. The while Loop. Years to Double Investment.

414 views • 26 slides

Cluster Computing in the Classroom: Topics, Guidelines, and Experiences

Cluster Computing in the Classroom: Topics, Guidelines, and Experiences. Amy Apon Department of Computer Science & Computer Engineering University of Arkansas. Clusters and Data Engineering.

449 views • 22 slides

An Energy Efficiency Evaluation for Sensor Nodes with Multiple Processors, Radios and Sensors

An Energy Efficiency Evaluation for Sensor Nodes with Multiple Processors, Radios and Sensors. Deokwoo Jung deokwoo.jung@yale.edu Embedded Networks and Applications Lab (ENALAB) Yale University *Research sponsored by NSF. A large dynamic range of trade-off between power and performance.

337 views • 19 slides

RAIK 283: Data Structures & Algorithms

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Design and Analysis of Algorithms

Design and Analysis of Algorithms. 4 th Semester Computer Engineering Spring 2015 Conf.dr.ing. Ioana Sora ioana.sora@cs.upt.ro. Our goal:. design algorithms that are correct and efficient. The Need for Correctness.

421 views • 17 slides

My IMPRINT Experience

My IMPRINT Experience Luiz F. Mendes Computer Science Major Urbana, IL Background I was born in Brazil in 1986, but my family moved to the United States in 1990. We have been living in Urbana, where I attended King Elementary School, Urbana Middle School, and Urbana High School.

494 views • 13 slides

Computational optimization of Truss structures.

Computational optimization of Truss structures. By Ali Hasan Siddiqui Harshita Jhavar. Aim of the project : The study aims at developing a novel algorithm which would serve as a universal solver for the sizing optimization of large scale truss structures.

321 views • 11 slides

Predicting predator-prey populations

249 views • 11 slides

Sample Projects

Sample Projects. Hadoop -based Real World Applications. Do you have any large scale data processing problem in your work or research? Can you formalize your data analysis problem? Can you use Hadoop to scale the computation? Make sure you can finish it in about one month. .

249 views • 4 slides

Trident 3 Company Background

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Dept. of Computer Engineering 242-535 Algorithm Design and Analysis (ADA) Semester 1, 2013-2014

Dept. of Computer Engineering 242-535 Algorithm Design and Analysis (ADA) Semester 1, 2013-2014. Dr. Andrew Davison Dept. of Computer Engineering Prince of Songkla University Hat Yai, Songkhla 90012 ad@fivedots.coe.psu.ac.th.

164 views • 1 slides