Introduction to High-Performance Scientific Computing
pages.tacc.utexas.edu
Introduction to High-Performance Scientific Computing
1–10 of 55 posts
Re: Introduction to High-Performance Scientific Computing
#2[deleted]
Re: Introduction to High-Performance Scientific Computing
#3Looks like a good collection of important topics. The tutorials feel a bit 2005 to me. GNUplot and svn? In my scientific universe it's all matplotlib and git these days. Maybe I'm unique.
Re: Introduction to High-Performance Scientific Computing
#44.2.1 (p. 177):
> Hyperbolic PDEs ... will not be discussed in this book.
Aw. :(
Re: Introduction to High-Performance Scientific Computing
#5At Nerdalize we're building a cloud that's specifally build for high performance scientific compute: http://www.nerdalize.com/cloud/
Re: Introduction to High-Performance Scientific Computing
#6At Nerdalize we're building a cloud that's specifally build for high performance scientific compute: http://www.nerdalize.com/cloud/
You might want to run a spell check on that page, I just saw "comprimise" in the most prominent sentence.
Also, white text on sky background with white patches (sun, clouds) has unreadable portions.
Re: Introduction to High-Performance Scientific Computing
#7Link to course page, including the source and latest revision of the book (2nd ed, revision 2016):
Re: Introduction to High-Performance Scientific Computing
#8Looks like a good collection of important topics. The tutorials feel a bit 2005 to me. GNUplot and svn? In my scientific universe it's all matplotlib and git these days. Maybe I'm unique.
Gnuplot is still used quite a lot in my area. You need to work more to make something aesthetically pleasing, but it's generally a better fit to plotting large amounts of data coming from another code. I've also been quite badly burnt by Matplotlib scripts no longer producing the same plot with changes in the library. Gnuplot version 5+ is nicer to use and has some pretty powerful features.
This blog has been a good cookbook reference for how to use it in a modern way: http://www.gnuplotting.org/
Re: Introduction to High-Performance Scientific Computing
#9At Nerdalize we're building a cloud that's specifally build for high performance scientific compute: http://www.nerdalize.com/cloud/
You might want to run a spell check on that page, I just saw "comprimise" in the most prominent sentence. Also, white text on sky background with white patches (sun, clouds) has unreadable portions.
Thanks for the comment, we fixed the typo. Any ideas on the content of the website are also very welcome.
Re: Introduction to High-Performance Scientific Computing
#10Earlier quoted context omitted.
You might want to run a spell check on that page, I just saw "comprimise" in the most prominent sentence. Also, white text on sky background with white patches (sun, clouds) has unreadable portions.
Thanks for the comment, we fixed the typo. Any ideas on the content of the website are also very welcome.
"Widget not in any sidebars".
Neat idea. Reminds me of something I did a while back: http://www.journalrepository.org/media/journals/BJMCS_6/2014.... We used idle systems in the computer lab to build large code repositories.