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| ==Reading List== | = Preworkshop Reading Materials = |
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| * Problem Book. Watch this space ... coming soon! | All participants at the MSRI Parallel Computation Workshop will be assumed to have a basic background in parallel computation already -- there will be no basic background tutorials or lectures. Fortunately, anybody can get such a background in a day by reading the documents listed below under ''required reading''. |
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| * [http://ocw.mit.edu/OcwWeb/Mathematics/18-337JSpring-2005/LectureNotes/index.htm Applied Parallel Computing Lectures] | == Required Reading List == At a minimum, make sure you read the following before the workshop, in order: 1. [http://www.llnl.gov/computing/tutorials/parallel_comp/ Introduction to Parallel Computing] 2. [http://www.llnl.gov/computing/tutorials/pthreads/ POSIX Threads Programming] 3. [http://www.llnl.gov/computing/tutorials/mpi/ MPI Tutorial] == Other Relevant Documents == Skim or read as time permits: 1. [http://modular.math.washington.edu/msri07/read/ Miscellaneous Papers and Files] 1. [http://www.llnl.gov/computing/tutorials/openMP/ OpenMP tutorial] and [http://gcc.gnu.org/projects/gomp/ GOMP] 2. [http://ocw.mit.edu/OcwWeb/Mathematics/18-337JSpring-2005/LectureNotes/index.htm Applied Parallel Computing Lectures] == SAGE-Related Reading List == Because of something called the ''Global Interpreter Lock'' (or GIL) in the Python ''interpreter'', threading is pretty useless for speeding up serious mathematical compute applications. For *multi-threaded* programs to be truly useful for SAGE computation, they will have to be implemented entirely in C/C++/Fortran libraries and SageX extension modules in blocks of code that do not make any Python/C API calls. 1. [http://ldp.paradoxical.co.uk/LDP/LGNET/107/pai.html Python threading tutorial] 2. [http://docs.python.org/api/threads.html Discussion About the GIL in Python] 3. [http://mail.python.org/pipermail/python-list/2006-May/382955.html List post about OpenMp and Python] 4. [http://aspn.activestate.com/ASPN/search?query=parallel&x=0&y=0§ion=PYTHONCKBK&type=Subsection Python Parallel Recipes] 5. [http://poshmodule.sourceforge.net/ POSH -- Python object sharing; a way to get around using threads for what we need] 6. [http://www.parallelpython.com/ Parallel Python -- is this useful for something? (or is it only stupid closed-source poppycock?) -- it's another way to get around threads] |
Preworkshop Reading Materials
All participants at the MSRI Parallel Computation Workshop will be assumed to have a basic background in parallel computation already -- there will be no basic background tutorials or lectures. Fortunately, anybody can get such a background in a day by reading the documents listed below under required reading.
Required Reading List
At a minimum, make sure you read the following before the workshop, in order:
[http://www.llnl.gov/computing/tutorials/parallel_comp/ Introduction to Parallel Computing]
[http://www.llnl.gov/computing/tutorials/pthreads/ POSIX Threads Programming]
[http://www.llnl.gov/computing/tutorials/mpi/ MPI Tutorial]
Other Relevant Documents
Skim or read as time permits:
[http://modular.math.washington.edu/msri07/read/ Miscellaneous Papers and Files]
[http://www.llnl.gov/computing/tutorials/openMP/ OpenMP tutorial] and [http://gcc.gnu.org/projects/gomp/ GOMP]
[http://ocw.mit.edu/OcwWeb/Mathematics/18-337JSpring-2005/LectureNotes/index.htm Applied Parallel Computing Lectures]
SAGE-Related Reading List
Because of something called the Global Interpreter Lock (or GIL) in the Python interpreter, threading is pretty useless for speeding up serious mathematical compute applications. For *multi-threaded* programs to be truly useful for SAGE computation, they will have to be implemented entirely in C/C++/Fortran libraries and SageX extension modules in blocks of code that do not make any Python/C API calls.
[http://ldp.paradoxical.co.uk/LDP/LGNET/107/pai.html Python threading tutorial]
[http://docs.python.org/api/threads.html Discussion About the GIL in Python]
[http://mail.python.org/pipermail/python-list/2006-May/382955.html List post about OpenMp and Python]
[http://aspn.activestate.com/ASPN/search?query=parallel&x=0&y=0§ion=PYTHONCKBK&type=Subsection Python Parallel Recipes]
[http://poshmodule.sourceforge.net/ POSH -- Python object sharing; a way to get around using threads for what we need]
[http://www.parallelpython.com/ Parallel Python -- is this useful for something? (or is it only stupid closed-source poppycock?) -- it's another way to get around threads]