On Sat, Jul 06, 2002 at 01:35:52PM +0100, Lars Olsson wrote: > I'm implementing a neural network (executing in kernel > space because of performance reasons) I've heard "performance reasons" meaning things should be implemented in the kernel over and over again, and just once, I'd like to try to find out _why_ implementing something in the kernel will improve your application's performance. You still need to yield the processor to the other $N processes running on the system, you still need to answer interrupts.. The only way implementing this in the kernel is if you can save on data copies across protection boundaries. Since neural networks are inherently compute-bound, I'd be surprised if you could see any performance improvements by moving this into the kernel. Why move NN into the kernel? -- http://www.wirex.com/
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