Mainly dedicated to HPC, Parallel Processing and Cloud Computing
Teaching CUDA/OpenCL in my course
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Starting from Semester 2010B I am going to incorporate CUDA/OpenCL Programming for GPGPUs as a chapter in my Introduction to Parallel Processing course ( link to 2010A course).
My post on Cellular Automata from January 12 was not put there by mistake. I want to use it as a starting point for a couple of exercises in my Parallel Processing course. In that post I gave a few drawings that differ only by the generating rule number. Today, I am going to show how using the Condor High-Throughput Computing system allows to handle in a very simple way large volume of computations. I used this simple Condor submit file : universe = vanilla executable = nks.py Error = err.$(Process) Output= out.$(Process) Log = log.$(Process) Arguments = $(Process) Queue 256 And was able to compute the whole set of 256 rules (jobs) with the same effort of computing a single rule. I submitted the task to my Personal Condor on my laptop and was not disappointed; After a while I got all the outputs happily waiting for post processing.
[mpich-discuss] Errors while testing MPICH2 on Vista Guy Tel-Zur gtelzur at gmail.com Sat Oct 24 14:39:26 CDT 2009 Previous message: [mpich-discuss] MPI-3 Fortran feedback Next message: [mpich-discuss] MPI function to test a machine alive or not. Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] I am trying to test a fresh installation of MPICH2 (version 1.2) on Vista32 and get the following errors: c:\temp>"c:\Program Files\MPICH2\bin\mpiexec.exe" -n 4 cpi.exe Please specify an authentication passphrase for smpd: <*I type here the passphrase, e.g. behappy*> Error while connecting to host, No connection could be made because the target machine actively refused it. (10061) Connect on sock (host=user-PC, port=8676) failed, exhaused all end points Unable to connect to 'user-PC:8676', sock error: Error = -1 I will appreciate any comment. --Gu
In the year 2003 the MIT Technology review ranked "Grid Computing" among the 10 Emerging Technologies That Will Change the World [1]. We are now four years later and something is not going well with "Grid Computing". An indication that there is a problem can easily be seen by looking at the "Google Trends" plot for the term "Grid Computing": (click on the image to get the current trend). This finding can be compared with another buzz word, "Virtualization", which is older than "Grid Computing" and yet is gaining more and more momentum: There is however one exception. The Academic Grid is still having lot's of glory thanks to the huge heavily funded European (EGEE) and other US projects. When LHC data will start to be taken at CERN it will reach it's top importance. But, it seems that for other scientific projects Grid Computing is not going to be such a success. It will remain as "Nice to have" but will never
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