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| Tentative Syllabus EECS 1580 - Non-Linear Data Structures Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein, "Introduction to Algorithms - Second Edition, " McGraw-Hill, 2001. Course Web Page: http://www.eecs. utoledo.edu http://www.eecs.utoledo.edu/~lmiller/Courses/Summer2006/EECS1580/Syllabus.pdf Provably Efficient Adaptive Scheduling For Parallel Jobs Yuxiong HE1 ... Provably Efficient Adaptive Scheduling For Parallel Jobs Yuxiong H E 1, Wen Jing HSU 1, Charles E. LEISERSON 2 1 Nanyang Technological University 2 Massachusetts Institute of http://dspace.mit.edu/bitstream/handle/1721.1/35779/CS006.pdf?sequence=1 Problem Set2 Day 6 Massachusetts Institute of Technology 6.046J/18.410J Singapore-MIT Alliance SMA5503 Professors Erik Demaine, Lee Wee Sun, and Charles E. Leiserson Handout8 Problem Set2 MIT students http://dspace.mit.edu/ ICS 261|Fall2002 Data Structures Syllabus Cormen, Charles E. Leiserson, Ronald L. Rivest, and Cliord Stein, McGraw-Hill, 2001. On the course outline you can ndindicationsof reading relevant to many of the topics. Exams: http://www.ics.uci.edu/%7Elueker/261/syl.pdf Programming Models for Parallel Machines heuristic search ? dense and sparse matrix computations ? friction-stir welding simulation ? artificial evolution Example applications done in Cilk: © 2006 Charles E. Leiserson http://parlab.eecs.berkeley.edu/pubs/PGAS-MPI-BootCamp08-Yelick.pdf Neighborhood Nine Neighborhood Study Update - Cambridge Massachusetts Kutcher Anna Kuwabara Charles E. Leiserson Lawrence B. Lieb Stephen Loren Robert Meffan Matt Perrenod Ames Peters Ingrid Shuttleworth Jeanne Smith William Snyder Louise Sullivan Andrew To wl http://www.cambridgema.gov/~CDD/cp/neigh/9/neigh9_update.pdf The Problems With Today's Parallel Programming Models Charles E. Leiserson April 3, 2008 The Problems With Today's Parallel Programming Models http://www.cilk.com/Default.aspx?app=LeadgenDownload&shortpath=docs/Multicore%20Expo%20panel-CLeiserson.pdf Building Blocks and Excluded Sums Demaine, Alan Edelman, Charles E. Leiserson, and Per-Olof Persson If we peel away, layer by layer, the complexities of the fast multipole method, we find that its inner core is a http://www.siam.org/pdf/news/27.pdf CS 126 Analysis of Algorithms West Virginia University Department of ... Cormen, Charles E. Leiserson, Ronald L. Rivest Introduction to Algorithms 1990, MIT Press You should plan to read each of chapters 1, 2, 3, 4, 7, 8, 9, 10, 17, 23, 24, 25, 26, and 27 http://www.cs.wvu.edu/~vanscoy/syl12697.pdf COURSE DESCRIPTION Cormen, Charles E. Leiserson , Ronald L. Rivest, and Clifford Stein. Introduction to Algorithms , 2 nd edition MIT Press, 2001. References Course Outcomes After successfully completing http://www.cs.olemiss.edu/abet/CSCI_533_Desc_2008_06_16.pdf Boundless Transactional Memory Kuszmaul, Charles E. Leiserson, Sean Lie MIT Computer Science and Artificial Intelligence Laboratory Boston Area Computer Architecture Workshop Friday January 30th, 2004 A Parallel http://www.ece.neu.edu/groups/nucar/barc2004/SeanLieBARC04.pdf DIGITAL SENDER Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein Introduction to Algorithms Second Edition The MIT Press Cambridge, Massachusetts London, England McGraw-Hill Book Company Boston Burr http://www.cs.cmu.edu/afs/cs/academic/class/15451-s04/www/Lectures/CRLS-DynamicProg.pdf DIGITAL SENDER Thomas H. Connen Charles E. Leiserson Ronald L. Rivest Clifford Stein Introduction to Algorithms Second Edition The MIT Press Cambridge, Massachusetts London, England McGraw-Hill Book http://www.cs.cmu.edu/afs/cs/academic/class/15451-s04/www/Lectures/shortestPaths.pdf Master Method Summary T ( n ) = aT ( n / b ) + f ( n ) July 14, 2006 8 ©2006 by Charles E. Leiserson Multithreaded Programming in Cilk ?Lecture 2 Master Method Summary C ASE 1 : f ( n ) = O ( n log b a-?) , constant ?> 0 ? T ( n http://www.cs.uoregon.edu/research/summerschool/summer06/lectures/Master_Method_Summary.pdf CMSC 351 : Syllabus : Spring 2006 Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein. ISBN: 0-07-013151-1 Catalog Description: A systematic study of the complexity of some elementary algorithms related http://www.cs.umd.edu/class/spring2006/cmsc351/syllabus.pdf Unbounded Transactional Memory Kuszmaul, Charles E. Leiserson, Sean Lie Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology! "#$#$%#$&' () *+&, (#-. +/&"+. 012%*3+-4&5 http://cscott.net/Publications/HPCA05/talk.pdf Unbounded Transactional Memory Unbounded Transactional Memory C. Scott Ananian Krste Asanovi´cBradleyC. Kuszmaul Charles E. Leiserson Sean Lie MIT Computer Science and Artificial Intelligence Laboratory The http://supertech.csail.mit.edu/papers/xaction.pdf COMPUTER SCIENCE DIS TING UIS HED LECTURE SERIES C OMPUTER S CIENCE D IS TING UIS HED L ECTURE S ERIES Charles E. Leiserson, MIT Cache-Oblivious Algorithms Friday, November 14, 2003, 2: 00pm Computer Science 2311 Jacob Schwartz http://www.cs.sunysb.edu/~events/DLseries/dlsposter2003.pdf Building Blocks and Excluded Sums Building Blocks and Excluded Sums By Erik D. Demaine, Martin L. Demaine, Alan Edelman, Charles E. Leiserson, and Per-Olof Persson Figure 1. The tree algorithm for input data 1 http://www.mit.edu/~persson/pub/demaine05blocks.pdf Memory Models for Open-Nested Transactions Memory Models for Open-Nested Transactions Kunal Agrawal Charles E. Leiserson Jim Sukha MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02139, USA http://supertech.csail.mit.edu/papers/open-mspc.pdf Multithreaded Programming in Cilk 1 Multithreaded Programming in Cilk Charles E. Leiserson ACM Supercomputing 2007 Workshop on Manycore and Multicore Computing November 11, 2007. http://gamma.cs.unc.edu/SC2007/Leiserson-SC07-Workshop.pdf Unbounded Transactional Memory Kuszmaul MIT CSAIL Joint research with Scott Ananian, Krste Asanovi(, Charles E. Leiserson, and Sean Lie, with thanks to Marty Deneroff. This research was supported in part by NSF Grant http://csl.stanford.edu/%7Echristos/seminars/0506/bradleykuszmaul2005.pdf KUNALAGRAWAL Charles E. Leiserson National University of Singapore, Singapore-MIT Alliance S.M., Computer Science July 2001?June 2002 Cumulative GPA: 5.0/5.0 Ramrao AdikInstitute of Technology http://people.csail.mit.edu/kunal/kunal-resume.pdf Shortest paths, all-pairs Introduction to Algorithms November 21, 2001 L19.2 © 2001 by Charles E. Leiserson © 2001 by Charles E. Leiserson Shortest paths Single-source shortest paths ? Nonnegative edge weights ? Dijkstra's http://www.cs.arizona.edu/classes/cs445/spring05/ShortestPath3.pdf ThomasH. Cormen Charles E. Leiserson. Minor: Engineering management and entrepreneurship. S.M. in Electrical Engineering and Computer Science, May 1986. Thesis: "Concentrator Switches for Routing http://www.cs.dartmouth.edu/~thc/papers/cormen-vita.pdf Massachusetts Institute of Technology School of Engineering Faculty ... Massachusetts Institute of Technology School of Engineering Faculty Personnel Record Date: January 19,2008 Full Name: Charles E. Leiserson Department: http://people.csail.mit.edu/cel/resume.pdf Scaling Transactional Memory Workloads June 10, 2006 2 © 2005 by Charles E. Leiserson and Bradley C. Kuszmaul XMem Challenges Requirements for Scaling Desktop machines will have hundreds of processors. http://freya.cs.uiuc.edu/WTW/KuszmaulWTW2006.pdf Shortest Paths in Graphs II Introduction to Algorithms, Lecture 18 November 19, 2001 © 2001 by Charles E. Leiserson 1 CS 445 Shortest Paths in Graphs II Slides courtesy of Erik Demainewith small changes byCarola http://www.cs.arizona.edu/classes/cs445/spring05/ShortestPath2.prn.pdf Divide and Conquer Demaine and Charles E. Leiserson L2.2 The divide-and-conquer design paradigm 1. Divide the problem (instance) into subproblems. 2. Conquer the subproblemsby solving them recursively. 3. http://ocw.mit.edu/ |
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