mkisofs is a wonderful utility to generate ISO images. To generate a compatible ISO images on a disc which are readable everywhere, consider the following commands
# mkisofs -rdlJ -o disc_directory_image.iso directory/
-r : “Rock Ridge” format is enabled to allow long filenames on UNIX systems
-J : allow long filenames on Windows Systems
-l : Allow full 31-character filenames.
-d : Do not append a period to files that do not have one which violate ISO9660
You do not need to burn an ISO file into a CD before you can use it for its intended purposes. A simple command like this can allow you to see and execute the content in the ISO file
# mount -o loop -t iso9660 myISO.iso /media/mount_point
If you need to calculate the Cluster Performance, you may go to http://cads.iiap.res.in/tools/flopsCalc
If you compiling using cmake and you make encounter error like this. This is despite the fact that you use the latest compiler like GNU-5.2.0. But somehow the cmake is still looking at the older gnu that comes with CentOS 6
[user1@node1 build]$ cmake .. -- The C compiler identification is GNU 4.4.7 -- The CXX compiler identification is GNU 4.4.7 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done CMake Error at CMakeLists.txt:24 (message): The compiler /usr/bin/c++ has no C++11 support. Aborting.
To resolve this, you have to be more explicit in the cmake parameter point to the corrcet g++, gcc
[user1@node1 build]$ cmake .. -DCMAKE_CXX_COMPILER=/usr/local/gcc-5.2.0/bin/g++ -DCMAKE_C_COMPILER=/usr/local/gcc-5.2.0/bin/gcc
If you are looking for a a Swiss Army Knife for Remote Computing, you may want to take a look at MobaXterm which boasts a number of features including
Some of your MATLAB application may require more Java Heap Memory than the default. You may want to edit your ~/.matlab/R2017a/matlab.prf. If you do not have it, just create the file
1. Create matlab.prf
$ touch ~/.matlab/R2017a/matlab.prf2. Increase memory to 36GB
$ vim ~/.matlab/R2017a/matlab.prfJavaMemHeapMax=I36532References:
PBS Professional Documents
1. Install Python-34 Numpy, Scipy
# yum -y install python34-numpy
# yum -y install scipy
2. Use Python-3.4 and use “Pip install” to install
# pip install numpy scipy
# pip install -U scikit-learn[alldeps]
3. Test scikit-learn
>>> import sklearn
You can get information by using the 2 commands. Check the resulting log files
adquery user user1 -A > /tmp/adquery.txt
dzinfo -A user1 > /tmp/dzinfo.txt
The Linux Cluster 