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Recently I received the code for a neural network. It is written in standard ANSI-C. However, running it on the Mac gives me a lot of coffee breaks ( it takes 10 min on a IIci, 3 hrs on an LC ). I was wondering if anybody out there has experience with this and knows of ways to make the code faster ( replacing ANSI routines with Mac-based routines.

If you are the woman or man with this experience mail me! I really need the help ( it's all for my master's thesis ).

You might want to get a match coprocessor for the LC. The ci has one, and that's probably your problem. (I'm not sure if the LC can take one, though!) If my memory still works after the two pints I just had, the LC has a 68020 without any FPU. You might want to upgrade to an LC III and find out if it has an FPU. I believe neural nets use floats, no? If so you will most certainly need and FPU if you want decent speed.

The LC does lack a FPU, but you can get one on a card. I'm not sure if this would help though, because it would depend if your compilier would generate FPU code. I know you can with Think. You also might need to take into account which compiler you are using for this kind of program, there seems to be a vairation in efficency between Mac Compilers. As for using toolbox calls, using Apple's SANE library might help. I haven't had much experience with it, but it would probably take advatage of the FPU. E-mail me if I can help anymore. (I'll run the program on my Q700 if you just need a quick speed test.) ___________________________________________________________________________ "I want to know God's thoughts...the rest are details." -- Albert Einstein _________________________________________ Ron Davis rondavis@datawatch.com Datawatch, Research Triangle Park, NC (919)549-0711