That sounds interesting. I await the information!

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Is there any way I can get a code example?

Aye.  I really need to get on this.  I've got 6 out of 7 experiments for the first "chapter" of videos working.  Once I get the 7th experiment locked-in, I'll probably record about 7 videos in a few days and release them over a few weeks, hopefully leaving enough time to prepare for the next "chapter".

Also in regards to the code optimization you talk about different distinct cases were you changed how algorithms work however I'm not familiar with the terminology what did those algorithms look like and what were they changed to? Can I see an example of that?

Maybe I should use part of the Code Cortex screensaver as the 7th experiment, since it's got good examples of a bunch of the concepts I'll be covering in the earlier videos, and in unoptimized form it's a terrible screensaver. 

Ok, I think I figured out what you were saying. So, I need to focus on design and implementation and I learned about big O notation but I'm still trying to figure out what you mean code example wise about using the resvoir of availble processing power instead of focusing on the trickle of incomming processor power. Is there any way I can get a code example? Also in regards to the code optimization you talk about different distinct cases were you changed how algorithms work however I'm not familiar with the terminology what did those algorithms look like and what were they changed to? Can I see an example of that?

I'm reviewing the videos again to see if I can gain some more knowledge out of them.

I am sure as soon as I learn more about this stuff or get directed on where to learn it. This kind of stuff will make tons more sense. But right now, I'm still a little lost. I have some programs that I have written in C and C++ but I have no idea where to start at learning Assembly. I have been doing your lessons but I feel like I am still in the monkey see monkey do stage.

Well, I've now set up a few experiments in C++ for the first few videos on performance optimization.  It's much easier to set up experiments in C++, but it's unfortunately harder to explain what's going on and why the results are the way they are, since the compiler hides a ton of information.  As such, some of the ideas may involve temporarily taking my word for it, but luckily, you will be able to play around with things and do your own experiments more easily than in Assembly. 

Ironically, it's hardest to accurately time very short, simple things, so as the experiments get more elaborate, the results should be more consistent.  The timings for the first experiment change a bit with almost every run. 

Oh, and in case you were wondering, this is what my performance viewer looks like.  It lets you compare the performance of different algorithms / data sets and see how they scale relative to an input parameter (like number of elements).

I am sure as soon as I learn more about this stuff or get directed on where to learn it. This kind of stuff will make tons more sense. But right now, I'm still a little lost. I have some programs that I have written in C and C++ but I have no idea where to start at learning Assembly. I have been doing your lessons but I feel like I am still in the monkey see monkey do stage.

Oh, and in case you were wondering, this is what my performance viewer looks like.  It lets you compare the performance of different algorithms / data sets and see how they scale relative to an input parameter (like number of elements).

THIS IS AWESOME!! I await more information !

Glad you're excited!    The quantum computation workshop went pretty well, but there are a few nails left to be put in a particular coffin, so I'll stick to a regular performance optimization tutorial for now.

I'll probably get going on the tutorial on Monday (after Deep River Summerfest), so probably have something ready-ish Wednesday, out Thursday, and now that I've put a date to it, I'll probably be late by a few days, but at least get something out, lol.