PPT-Parallel computing with MATLAB

Going Beyond Serial MATLAB Applications MATLAB Desktop Client Worker Worker Worker Worker Worker Worker Programming Parallel Applications CPU Builtin support with t oolboxes Ease of Use. Radar Imagery. The Center for Remote Sensing of Ice Sheets (CReSIS) has developed many radars that operate over the frequency range from 140 to 230 MHz with multiple receivers developed for airborne sounding, and imaging of ice sheets. Understanding the echogram data depends on knowing the process of how radar waves interact with natural surfaces. . Performance Theory - 1. Parallel Computing. CIS . 410/. 510. Department of Computer and Information Science. Outline. Performance scalability. Analytical performance measures. Amdahl. ’. s. law and Gustafson-. Kadin Tseng. Boston University. Scientific Computing and Visualization. It is developed by . The Mathworks, Inc.. . (http://www.mathworks.com) . It is an interactive, integrated, environment . for numerical/symbolic, scientific computations and other apps.. I. ntegrated . R. esearch . C. omputing. MATLAB. http://. www.circ.rochester.edu. /wiki/. index.php. /. MatlabWorkshop. Outline. Part I – Interacting with . Matlab. Running . Matlab. interactively. ITS Research Computing. Lani. Clough, Mark Reed. markreed@unc.edu. . Objectives. Introductory. level MATLAB course for people who want to learn . parallel and GPU computing . in MATLAB.. Help participants . Agenda. Leveraging. the . power. . of. . vector. and matrix operations in MATLAB. ®. . . - Demonstration: . Preallocation. and . vectorization. How. . does. MATLAB. ®. store and . provide. Kadin Tseng. Boston University. Scientific Computing and Visualization. Serial Performance gain. Due to memory access. Due to caching. Due to vector . representations. Due to compiler. Due to other . Presenter: . Kaushik Chowdhury. Next.  . . GE. neration.  . NE. tworks. and.  . SYS. tems. . Lab . Authors: . Benjamin Drozdenko. Ramanathan Subramanian. Kaushik Chowdhury. Miriam Leeser. 2. AIM OF THE PROJECT. Booleans. Booleans are a class of variable that have values of 0 or 1.. 0 = false. 1 = true. George Boole. (1815-1864). Booleans. Using the code on the right, we can set the value of two variables (a and b) and then ask Matlab if they are equal to each other using “==“. Presenter: . Kaushik Chowdhury. Next.  . . GE. neration.  . NE. tworks. and.  . SYS. tems. . Lab . Authors: . Benjamin Drozdenko. Ramanathan Subramanian. Kaushik Chowdhury. Miriam Leeser. 2. AIM OF THE PROJECT. A View from Berkeley. Dave Patterson. Parallel Computing Laboratory. U.C. Berkeley. July, 2008. Outline. What Caused the Revolution?. Is it an Interesting, Important Research Problem or Just Doing Industry’s Dirty Work?. Early Adopter: ASU - Intel Collaboration in Parallel and Distributed Computing Yinong Chen , Eric Kostelich , Yann -Hang Lee, Alex Mahalov , Gil Speyer, and Violet R. Syrotiuk 1 st NSF /TCPP Workshop on Parallel and Distributed Computing Education ( computation . tools. .. Others include. Maple. Mathematica. MathCad. MATLAB Excels at. Numerical calculations. Especially involving matrices. Graphics. MATLAB stands for . Mat. rix . Lab. oratory. Why MATLAB. Mark Reed . Lani Clough. Objectives. Intermediate. level MATLAB course for people . already using. . MATLAB.. Help participants . go past the basics . and improve the performance their MATLAB code. .