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Special Forums UNIX and Linux Applications High Performance Computing Programming parallel for C++ and Python application Post 302776149 by figaro on Wednesday 6th of March 2013 03:08:38 AM
Old 03-06-2013
Thank you for your response. What this likely will come down to is setting up the core multi-core calculations in Boost and do some post-processing in Python. The post-processing will take place at a higher level (ie user) and is likely to be more prone to changes.
 

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GCORE(1)						      General Commands Manual							  GCORE(1)

NAME
gcore - get core image of running process SYNOPSIS
gcore [-s][-c core] pid DESCRIPTION
gcore creates a core image of each specified process, suitable for use with adb(1). By default the core image is written to the file <pid>.core. The options are: -c Write the core file to the specified file instead of <pid>.core. -s Stop the process while creating the core image and resume it when done. This makes sure that the core dump will be in a consistent state. The process is resumed even if it was already stopped. Of course, you can obtain the same result by manually stopping the process with kill(1). The core image name was changed from core.<pid> to <pid>.core to prevent matching names like core.h and core.c when using programs such as find(1). FILES
<process-id>.core The core image. BUGS
If gcore encounters an error while creating the core image and the -s option was used the process will remain stopped. Swapped out processes and system processes (the swapper) may not be gcore'd. 4.2 Berkeley Distribution April 15, 1994 GCORE(1)
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