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GSL v2.0 discussion
- From: Patrick Alken <patrick dot alken at Colorado dot EDU>
- To: "gsl-discuss at sourceware dot org" <gsl-discuss at sourceware dot org>
- Date: Fri, 04 Apr 2014 11:01:57 -0600
- Subject: GSL v2.0 discussion
- Authentication-results: sourceware.org; auth=none
- References: <533EE354 dot 4050204 at colorado dot edu>
Hello all,
There have been a lot of new features added to GSL since the last
release 1.16, some of which have modified underlying data structures
(breaking binary compatibility) and even some API changes. For this
reason I don't want to make another 1.x release, but I know at the same
time many people were hoping that 2.0 would interface with advanced
linear algebra libraries (like libflame or lapack).
My current todo list before the next release is:
1) import interp2d code (mostly done just needs some further testing)
2) Hermite interpolation (shouldn't take long once I find some time)
Adding libflame or lapack to the todo list would delay the next release
significantly. But I want to open this discussion again (it has been
discussed several times previously on this list).
One method of doing this is to make 3 new libraries:
1) libgsllinalg - contains all the current GSL implementations of the
linear algebra routines
2) libgslflame - contains wrapper routines with the same interfaces that
gsl_linalg has now, but calls the relevant libflame routine
3) libgsllapack - contains wrapper routines with the same interfaces of
gsl_linalg, but calls the relevant lapack routine
This way the user can decide which linear algebra library they want at
link time, while maintaining a common API for everything. If the user
wants to use the current GSL routines, they would link with -lgsl
-lgslcblas -lgsllinalg
If they want libflame, they would link with -lgsl -lgslcblas -lgslflame
-lflame
If they want lapack, they would link with -lgsl -lgslcblas -lgsllapack
-llapack
A second method of doing this is to decide at compile time which linear
algebra library to use (ie: autoconf could detect if lapack or flame is
installed and then compile the library accordingly making the correct
calls to the lapack/flame routines). This has the advantage of keeping
the -lgsl -lgslcblas link libraries the same, the user would just need
to add -llapack or -lflame.
*Potential issues*
1. Workspace sizes
Many of the flame/lapack routines require workspaces of different sizes
than each other and the corresponding GSL routines. The easiest way to
handle this would be to dynamically allocate workspace inside the
wrapper functions of the gslflame and gsllapack libraries, which is not
too appealing.
Another way to handle it is to have gsl_linalg_alloc() routines for all
functions which would figure out the right workspace size for whatever
library you are using. This would require a lot of code changes for
current users, also not too appealing.
2. Errors
LAPACK tends to handle errors pretty well, and returns error codes from
each function which could be interpreted by the GSL wrapper and passed
on to the user.
libFLAME however seems to lack an error handling mechanism and calls
abort() when it encounters an error (I have not looked deeply into the
source but this is based on previous discussions on this list). Calling
abort() is a very poor way to handle this and GSL users could be
frustrated by this. I don't want to get into the business of
forking/rewriting the flame error handling stuff so I don't see any easy
solution to this.
3. Global state
This is another advantage of LAPACK over libflame - libflame requires a
global initialization call to initialize a small number of global
variables. This means that a) each wrapper function for libflame would
need to check if that memory is initialized and if not call the function
or b) GSL needs to provide a global init/free call. I don't like either
of these options. (a) is bad because there is no simple way for the user
to free that memory from their program. (b) is bad because global states
are just ugly and bad design imo.
4. Fortran vs C
One main disadvantage of LAPACK is the ordering of memory in fortran,
which would require transposing matrices prior to the lapack call, and
then transposing back afterward. This isn't such a big problem in terms
of efficiency but its still a headache.
*Summary*
I would like feedback from everyone on the following points:
1. Should we try to add lapack/flame interfaces for the 2.0 release or
wait until 3.0? I personally probably won't have a lot of time to work
on this for several months.
2. Is it better to select gsllinalg/lapack/flame at compile time or link
time?
3. Whats the best way to handle the memory workspace requirements (add
_alloc functions to all gsl_linalg routines or dynamic allocation)?
4. What should we do about error handling in libflame? Just accept the
abort() behavior?
5. Is there a strong preference for doing wrappers for both lapack and
flame? Should we only interface to lapack, due to the difficulties with
flame (global state, abort() error handling)? Should we only interface
to flame due to its more modern design?
Patrick