[Beowulf] Teaching Scientific Computation (looking for the perfect text)
Many of your questions may have already been answered in earlier discussions or in the FAQ. The search results page will indicate current discussions as well as past list serves, articles, and papers.
Joe Landman landman at scalableinformatics.comWed Nov 21 08:17:10 PST 2007
- Previous message: [Beowulf] Teaching Scientific Computation (looking for the perfect text)
- Next message: [Beowulf] Teaching Scientific Computation (looking for the perfect text)
- Messages sorted by: [ date ] [ thread ] [ subject ] [ author ]
Jeffrey B. Layton wrote: > In Fortran it's always been x**y. The good compilers let x and y be any > data types (I've not tried using a complex as the exponent though). It should be noted that I haven't been actively using Fortran for the better part of the last decade. This is not a choice issue, just most of our work tends to focus on C, Perl, ... One of the principal advantages of Fortran over C for scientific computing is the inclusion of Complex as a first class data type. That means any library/code/function that uses it, knows how to use it, as it is well defined in terms of a fixed implementation. There are a myriad of ways to handle complex in C, but you can't easily write complex A,B,C,D A = B + C*D with anything like the clarity of Fortran. Another principal advantage of Fortran over C for scientific computing is the inclusion of arrays and matrices as first class data types. Yes, you can do all sort of allocation wonders in C. You can do some incredible things at lower levels. Just try to use two array packages which have slightly different conceptions of what an array is, and how to manipulate it. Of course, this is usually the time at which the C++ folks come out of the background and start talking about objects, interfaces, overloading, ... Anyone ever debugged an overloaded operator? It ain't fun, at any level. Add to that the (seriously) non-unity abstraction penalty (TANSTAAFL: objects cost time/memory/...). Yeah, you can write A = B + C*D in C++, but you have to overload the operators. And heaven forbid you use an FFT package with a slightly differing conception of a vector of complex as compared to the matrix package you are using. There is value (significant value) in first class types that scientists use commonly. There is value in being able to get close to the actual metal ... er ... silicon. We usually advise using what you are comfortable with. Fortran will be with us for decades more. > > Jeff > > _______________________________________________ > Beowulf mailing list, Beowulf at beowulf.org > To change your subscription (digest mode or unsubscribe) visit > http://www.beowulf.org/mailman/listinfo/beowulf -- Joseph Landman, Ph.D Founder and CEO Scalable Informatics LLC, email: landman at scalableinformatics.com web : http://www.scalableinformatics.com http://jackrabbit.scalableinformatics.com phone: +1 734 786 8423 fax : +1 866 888 3112 cell : +1 734 612 4615
- Previous message: [Beowulf] Teaching Scientific Computation (looking for the perfect text)
- Next message: [Beowulf] Teaching Scientific Computation (looking for the perfect text)
- Messages sorted by: [ date ] [ thread ] [ subject ] [ author ]
More information about the Beowulf mailing list
