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09-30-12, 12:30 PM
http://www.tacc.utexas.edu/image/image_gallery?uuid=034867f7-b9eb-413f-abf0-943383e52ce3&groupId=13601&t=1325634633701 (http://www.tacc.utexas.edu/staff/andy-terrel)Over at the Codematician (http://andy.terrel.us/blog/2012/09/27/starting-with-python/) blog, TACCâ??s Andy R. Terrel (http://www.tacc.utexas.edu/staff/andy-terrel) has written an excellent introduction to learning, speeding, and scaling Python for HPC.

Despite all the great features outlined above, the (mis)perception is that Python is too slow for HPC Development. While it is true that Python might not be the best language to write your tight loop and expect a high percentage of peak flop rate, it turns out that Python has a number of tools to help switch those lower-level languages.

Read the Full Story (http://andy.terrel.us/blog/2012/09/27/starting-with-python/).

http://insidehpc.com/?ak_action=api_record_view&id=31886&type=feedRelated posts:

Star-P adds Python support (http://insidehpc.com/2007/05/30/star-p-supports-python/)
Call for Papers: Workshop on Python for High Performance and Scientific Computing, Nov. 18 in Seattle (http://insidehpc.com/2011/08/12/call-for-papers-workshop-on-python-for-high-performance-and-scientific-computing-nov-18-in-seattle/)
Slidecast: SPM.Python Exploits Parallelism with Fault Tolerance (http://insidehpc.com/2011/11/20/slidecast-spm-python-exploits-parallelism-with-fault-tolerance/)


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