However, as MEX is an API to the internals of Matlab and the internals of Octave differ from Matlab, there is necessarily a manipulation of the data to convert from a MEX interface to the Octave equivalent. Multi-thread and multi-core is beyond the scope of this answer, the easiest way is to define your octave code to spawn 8 separate parallel job1.m through job8.m files that run all at the same time, have all of them process 1/8th of the task at hand, at the end wait for all to finish then rejoin the answer. Octave includes an API to the Matlab MEX interface. If you want your sixteen-core CPU under your desk maxing out its CPU use to 100% while this operation is executing, then there is no escape: you must stop and re-define this problem in a multi-threaded and multi-core oriented way. Your CPU is twiddling its thumbs while this iteration occurs.
The 4th addition must wait for the 3rd, and 3rd must wait for the 2nd. C code is still processing this code in an iterative first-in-first out queue-like way. Vectorized code like this is usually good-enough for typical tasks, but if extracting every rev of horsepower from your Alienware's QUAD-CHIP 32-Core hyperthreaded CPU is mission critical, keep reading.ĭon't make the mistake of saying this code is "multi-threaded" or "multi-core" because it's not. Operations performed in a vectorized way like this above are between 2 and 5 orders of magnitude faster than if you put this in a for loop. This arrayfun code is "vectorized", and GNU Octave packages this code to be handed to pre-optimized C code rather than having GNU Octave manage its own glacial iteration. Down straight to multi-core and multi-thread optimization on the bare metal: PROTIP: Why this code on a sufficiently large matrix won't max out your quad-core CPU.īelow is an analysis of the arrayfun's capabilities from the perspective of Vectorization down through lowlevel C. Notice how the procedure (add 5) was applied to each item in the matrix. Fix opengl invalid operation when zooming ( bug. This version is a bug fixing release: doc: Fix differences between example code and run time results ( bug 50282 ).
#Gnu octave external code interface example windows
An official Windows binary installer is also available. Put this code in filename called "main.m" ) Octave Version 4.2.1 has been released and is now available for download. Put this code in filename called "myfun.m" function = myfun(num)
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