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CS 52500, Parallel Computing Spring 2011

CS 52500, Parallel Computing Spring 2011. Alex Pothen Lectures: Tues, Thurs, 3:00—4:15 PM, BRNG 2275 Office Hours: Wed 3:00—4:00 PM; Thurs 4:30—5:30 PM; and by appointment Course webpage: http:// www.cs.purdue.edu/homes/apothen/courses.html. Motivational background.

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CS 52500, Parallel Computing Spring 2011

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  1. CS 52500, Parallel ComputingSpring 2011 Alex Pothen Lectures: Tues, Thurs, 3:00—4:15 PM, BRNG 2275 Office Hours: Wed 3:00—4:00 PM; Thurs 4:30—5:30 PM; and by appointment Course webpage: http://www.cs.purdue.edu/homes/apothen/courses.html

  2. Motivational background • Parallel computing is now everywhere, even at the desktop • Many important applications demand the solution of challenging problems via parallel computing • Discovering new sources of energy • Discovering new drugs for diseases • Nano-materials • Information science • National security • Funding agencies continue to massively invest in parallel computing research • Department of Energy • SciDAC: www.scidac.gov CSCAPES: www.cscapes.org • The National Science Foundation • Department of Defense • Industry stakeholders (software as well as hardware vendors) are increasingly supporting research in parallel computing (both in-house and in collaboration with universities and labs) • Parallel computing has permeated the commercial enterprise

  3. CS 525 will cover • Parallel and distributed computing architectures • Shared memory processors • Distributed memory processors • Multi-core processors • Parallel programming • Shared memory programming (OpenMP) • Distributed memory programming (MPI) • Thread-based programming • Parallel algorithms • Sorting • Matrix-vector multiplication • Graph algorithms • Applications • Computational science and engineering • High-performance computing

  4. Text books • Main: • AnanthGrama, Anshul Gupta, George Karypis and Vipin Kumar, Introduction to Parallel Computing, Second edition, Addison Wesley, 2003 • Supplementary: • Michael Quinn, Parallel Programming in C with MPI and OpenMP, McGraw-Hill, 2003 • Jack Dongara, Ian Foster, Geoffrey C. Fox, and William Gropp, The Sourcebook of Parallel Computing, Morgan Kaufmann, 2002 • Thomas Rauber and GudulaRunger, Parallel Programming for Multicore and Cluster Systems, Springer Verlag, 2010 • David B. Kirk and Wen-mei W. Hwu, Programming Massively Parallel Processors: A Hands-on Approach, Morgan Kaufman, 2010

  5. Grading • Regular homework problems and programming assignments • Final exam

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