Comments on: More Cache Craziness http://lbrandy.com/blog/2009/03/more-cache-craziness/ { on programming and the internets, every monday } Fri, 03 Feb 2012 14:14:15 +0000 hourly 1 http://wordpress.org/?v=3.0.1 By: iPhone http://lbrandy.com/blog/2009/03/more-cache-craziness/comment-page-1/#comment-28636 iPhone Sun, 06 Nov 2011 09:24:52 +0000 http://lbrandy.com/blog/?p=603#comment-28636 Replica Cartier Ballon Bleu Automatic Men's Watch W69012Z4 Replica Cartier Ballon Bleu Automatic Men's Watch W69012Z4 larger image Units in Stock25 Bookmark and Share $357.00 $235.00 Save: 34% off International shipping cost $27.9 Buy 2 units items or more, USA outside international shipping is free. Shipping to All Countries in the world. <a href="http://replicawatchshop.us/replica-cartier-ballon-bleu-automatic-mens-watch-w69012z4-p-63.html" rel="nofollow">Cartier Ballon Bleu replica</a><a href="http://www.announcingit.com/main/product.asp?catid=473" rel="nofollow">birthday party invitations</a> Replica Cartier Ballon Bleu Automatic Men’s Watch W69012Z4
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]]> By: learner http://lbrandy.com/blog/2009/03/more-cache-craziness/comment-page-1/#comment-28275 learner Wed, 13 Apr 2011 16:26:41 +0000 http://lbrandy.com/blog/?p=603#comment-28275 I would have liked to see code for the blocks you created for testing. I would have liked to see code for the blocks you created for testing.

]]> By: Anonymous http://lbrandy.com/blog/2009/03/more-cache-craziness/comment-page-1/#comment-28274 Anonymous Thu, 31 Mar 2011 21:35:06 +0000 http://lbrandy.com/blog/?p=603#comment-28274 "This graph is just so cool" Understatement of the year. “This graph is just so cool”

Understatement of the year.

]]> By: Betty http://lbrandy.com/blog/2009/03/more-cache-craziness/comment-page-1/#comment-4841 Betty Fri, 10 Apr 2009 03:35:41 +0000 http://lbrandy.com/blog/?p=603#comment-4841 I recently came across your blog and have been reading along. I thought I would leave my first comment. I don't know what to say except that I have enjoyed reading. Nice blog. I will keep visiting this blog very often. Betty http://laptopprocessor.info I recently came across your blog and have been reading along. I thought I would leave my first comment. I don’t know what to say except that I have enjoyed reading. Nice blog. I will keep visiting this blog very often.

Betty

http://laptopprocessor.info

]]> By: louis http://lbrandy.com/blog/2009/03/more-cache-craziness/comment-page-1/#comment-4413 louis Wed, 01 Apr 2009 17:19:00 +0000 http://lbrandy.com/blog/?p=603#comment-4413 justinhj, gnuplot justinhj,

gnuplot

]]> By: justinhj http://lbrandy.com/blog/2009/03/more-cache-craziness/comment-page-1/#comment-4412 justinhj Wed, 01 Apr 2009 16:53:42 +0000 http://lbrandy.com/blog/?p=603#comment-4412 Nice article. What did you use to do the heat plot? Nice article. What did you use to do the heat plot?

]]> By: Tom d http://lbrandy.com/blog/2009/03/more-cache-craziness/comment-page-1/#comment-4405 Tom d Wed, 01 Apr 2009 10:52:41 +0000 http://lbrandy.com/blog/?p=603#comment-4405 Very interesting analysis, thanks for the graphs! It is probably worth investigating using optimized BLAS libraries for your matrix calculations, for example the Intel MKL will automatically multithread the matrix operation when it is optimal to do so, and will use the SSE vector processing units. Generally you can expect a significant speedup (2-10x) over handmade code. You can distribute the MKL libs along with your SDK, the license encourages that (e.g. Matlab comes with the MKL as its default BLAS now). Also, using the MKL means you'll automatically take advantage of any new vector processing hardware (e.g. AVX) when it comes available, so you don't have to keep revisiting your code. Very interesting analysis, thanks for the graphs!

It is probably worth investigating using optimized BLAS libraries for your matrix calculations, for example the Intel MKL will automatically multithread the matrix operation when it is optimal to do so, and will use the SSE vector processing units. Generally you can expect a significant speedup (2-10x) over handmade code. You can distribute the MKL libs along with your SDK, the license encourages that (e.g. Matlab comes with the MKL as its default BLAS now). Also, using the MKL means you’ll automatically take advantage of any new vector processing hardware (e.g. AVX) when it comes available, so you don’t have to keep revisiting your code.

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