Hi, On Thu, 2 Aug 2007, Ingo Molnar wrote:You're comparing apples with oranges, I explicitely said: "At this point I'm not that much interested in a few localized optimizations, what I'm interested in is how can this optimized at the design level" IMO it's very important to keep computational and algorithmic complexity separately, I want to concentrate on the latter, so unless you can _prove_ that a similiar set of optimizations is impossible within my example, I'm going to ignore them for now. CFS has already gone through several versions of optimization and tuning, expecting the same from my design prototype is a little confusing... I want to analyze the foundation CFS is based on, in the review I mentioned a number of other issues and design related questions. If you need more time, that's fine, but I'd appreciate more background information related to that and not that you only jump on the more trivial issues. Come on, Ingo, you can do better than that, I did mention in my review some of the requirements for the data types. I'm amazed how you can get to that judgement so quickly, could you please substantiate that a little more? I admit that the lack of source comments is an open invitation for further questions and Peter did exactly this and his comments were great - I'm hoping for more like that. You OTOH jump to conclusions based on a partial understanding what I'm actually trying to do. Ingo, how about you provide some of the mathematical prove CFS is based on? Can you prove that the rounding errors are irrelevant? Can you prove that all the limit checks can have no adverse effect? I tried that and I'm not entirely convinced of that, but maybe it's just me, so I'd love to see someone else's attempt at this. A major goal of my design is it to be able to define the limits within the scheduler is working correctly, so I know which information is relevant and what can be approximated. bye, Roman -
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