Hi Paul, We'd like to attend the lectures via AG. Do we need to make any special preparations in terms of shared apps, or will Powerpoint be enough?
Thanks, Jon. -- Jon I Johansson * Research Computing Support jon.johans...@ualberta.ca * Computing and Network Services Tel.: (780) 492-9304 * University of Alberta Fax.: (780) 492-1729 * Edmonton, Alberta, CANADA > -----Original Message----- > From: owner-ag-t...@mcs.anl.gov > [mailto:owner-ag-t...@mcs.anl.gov] On Behalf Of Paul Mercer > Sent: Tuesday, November 23, 2004 12:30 PM > To: ag-tech; ag-us...@mcs.anl.gov; Tom Logan > Cc: Virginia Bedford; Barbara Horner-Miller; willi...@arsc.edu > Subject: [AG-TECH] AGN Event Nov 30, Dec 1 > > All > > Sorry for the short notice. > > I just wanted to extend an open invitation to all to attend an AG > Event on Nov 30 and Dec 1 on Unified Parallel C Programming. I have > scheduled it on AGScheduler. We will be setting up and testing > audio beginning at 7am Alaska Time UTC -9 on Tue Nov 30. > > > > Details: Unified Parallel C Programming > > A Two-Day Short Course > Place: The Arctic Region Supercomputing Center (ARSC), > Fairbanks, Alaska > Dates: 11/30/04 through 12/1/04 > Instructor: Tarek El-Ghazawi, George Washington University > Course Style: Lectures plus hands-on > Registration: tom.lo...@arsc.edu > Description > UPC, or Unified Parallel C, is a parallel extension of ISO C. UPC > follows the Partitioned Global Address Space (PGAS) programming > model, which is aimed at leveraging the ease of programming of the > shared memory paradigm, while enabling the exploitation of data > locality. To this end, UPC incorporates constructs that allow placing > data near the threads that manipulate them to minimize remote > accesses. UPC, therefore, combines the strengths of the shared memory > and the message passing models. UPC also has many advanced > synchronization features including mechanisms for overlapping > synchronization with local processing and constructs for controlling > the memory consistency model. UPC is the effort of a consortium of > universities, government and industry. It has been receiving rising > attention from programmers and vendors. There have been several > compiler implementations of UPC on parallel platforms from Cray, SGI, > HP, IBM as well as on clusters. The TotalView debugger is also > available on some of the platforms. > This course will introduce the UPC language and concepts, followed by > more in-depth coverage and includes usage examples and case studies. > Code optimization techniques will be covered. This course will also > include hands-on modules from the simple to the advanced. > Schedule for both days is: > > Times are local time > 08:30 - 12:00 Lecture in WRRB 010 Conference Room > 01:30 - 05:00 Hands-On in WRRB 009 Class Room > ***AFTERNOON SESSIONS WILL NOT BE ON AGN*** > > About the Instructor > Tarek El-Ghazawi is a Professor in the Department of Electrical and > Computer Engineering at George Washington University, where he also > directs the High Performance Computing Laboratory (HPCL). He has > served as a visiting scientist at NASA Ames Research Center, and is a > Fellow of the Arctic Region Supercomputing Center and a Visiting > Scientist at NASA GSFC. He has received his Ph.D. in Electrical and > Computer Engineering from New Mexico State University in 1988. Tarek > El-Ghazawi is one of the principal co-authors of the UPC and the > UPC-IO specifications. He is also the main author of the first UPC > book, which will be published in mid-2005 by John Wiley and Sons. His > research interests include high-performance computing and > architectures, reconfigurable computing, parallel I/O, and > performance evaluations. He has published over 100 refereed research > papers and book chapters and his research has been supported by > DoD/DARPA, NASA, NSF, and industry. His work was also recently > recognized by the IBM faculty award. He is a senior member of the > Institute of Electrical and Electronics Engineers (IEEE), a member of > the Association for Computing Machinery (ACM), SIAM, Phi Kappa Phi > National Honor Society, and on the advisory board of the IEEE task > force on Cluster Computing. > > See you on Nov 30 > > Paul > > > > > > -- > Paul Mercer > Visualization Systems Analyst > Arctic Region Supercomputing Center > 907 450 8649 >
