gsl | Go wrappers for CBLAS w/o dependencies
kandi X-RAY | gsl Summary
kandi X-RAY | gsl Summary
Go wrappers for part of the GNU Scientific library. This package does not depend on a GSL installation (GSL source files are embedded in this go package and statically linked).
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QUESTION
Why is it that the matrix multiplication with Numpy is much faster than gsl_blas_sgemm
from GSL, for instance:
ANSWER
Answered 2021-Jun-06 at 19:52TL;DR: the C++ code and Numpy do not use the same matrix-multiplication library.
The matrix multiplication of the GSL library is not optimized. On my machine, it runs sequentially, does not use SIMD instructions (SSE/AVX), does not efficiently unroll the loops to perform register tiling. I also suspect it also does not use the CPU cache efficiently due to the lack of tiling. These optimizations are critical to achieve high-performance and widely used in fast linear algebra libraries.
Numpy uses a BLAS library installed on your machine. On many Linux platform, its uses OpenBLAS or the Intel MKL. Both are very fast (they use all the methods described above) and should run in parallel.
You can find which implementation of BLAS is used by Numpy here. On my Linux machine, Numpy use by default CBLAS which internally use OpenBLAS (OpenBLAS is strangely not directly detected by Numpy).
There are many fast parallel BLAS implementations (GotoBLAS, ATLAS, BLIS, etc.). The open-source BLIS library is great because its matrix multiplication is very fast on many different architectures.
As a result, the simplest way to improve your C++ code is to use the cblas_sgemm
CBLAS function and link a fast BLAS library like OpenBLAS or BLIS for example.
For more information:
One simple way to see how bad the GSL perform is to use a profiler (like perf on Linux or VTune on Windows). In your case Linux perf, report that >99% of the time is spent in libgslcblas.so
(ie. the GSL library). More specifically, most of the execution time is spent in this following assembly loop:
QUESTION
My goal: Install karambola on my Windows 10 maschine.
To install karambola I need the make command, which was never found with any programm. The only thing that worked was using GnuWin32 (when I was in the karambola directory):
...ANSWER
Answered 2021-May-18 at 09:58Whatever distribution you are trying to use (Cygwin, Mingw, Linux Debian, Fedora..) some programs are NOT installed by default. As not anyone is a C++ programmer, you need to install/add the dedicated packages that contails the tools, compiler, header, libraries you need for your task.
For example Cygwin has almost 10000 packages:
https://cygwin.com/packages/package_list.html
So you need make
, g++
and at least the gsl development package
.
Use cygcheck -p
to find the package that contains the program:
QUESTION
In the inline-c
package, there's an example calling the C library GNU Scientific Library gsl
from Haskell.
ANSWER
Answered 2021-May-02 at 20:46The type of solveOdeC
is almost the same as the type for solveOde
. The former type involves CDouble
at several points, including inside Vector
s and Either
. The latter instead uses Double
.
The code relies on CDouble
and Double
having the same representation. Because of that, using coerce
one can define a function by simply calling the other one with essentially zero overhead. Without that, one would need to create a new Vector
which would be bitwise identical to the first one only to satisfy the type checker, spending O(N) for this overhead.
To be honest, I find the definition in the library unnecessarily verbose. One could have written, instead,
QUESTION
I am trying to install a R package on windows 10 using "R CMD INSTALL Rpkg
" and I am getting the following error:
ANSWER
Answered 2021-Mar-23 at 21:00I figured out the solution for the issue. First of all, I do not need to install a separate gsl library to use with R. So, I removed the gsl library I installed earlier into C:\R_soft\R\local323
. Then I opened the msys2
shell in rtools and ran pacman -S mingw-w64-x86_64-gsl
. This installs gsl library to mingw64 folder in rtools (default folder used by rtools to store C++ libraries). See https://packages.msys2.org/package/mingw-w64-x86_64-gsl for more about the gsl package information.
QUESTION
I need to solve an ODE that has stiff behaviour. Said ODE would be given by
...ANSWER
Answered 2021-Mar-21 at 08:58To manually implement an algorithmic differentiation it helps to include explicit intermediary steps
QUESTION
I'm using Ubuntu 20.04.2 LTS
.
I've downloaded the source code with the command:
...ANSWER
Answered 2021-Mar-19 at 19:32There is a particular section in the inkskape documentation about your question
The major steps:
QUESTION
I have MATLAB code that I want to call the GNU Scientific Library (GSL) C library to compute the singular value decomposition of a matrix. Basically, I need to implement the gateway MEX function. I see how to set the input variables, but how do I set the output variables?
Here is my code so far:
build.m ...ANSWER
Answered 2021-Mar-17 at 21:15There are multiple issues with your code:
- You don't check that the inputs are exactly as expected (real, double, non-sparse, etc.)
- You are attaching memory allocated without MATLAB API functions to an mxArray
- You are freeing the memory behind the pointers right after you attach them to the mxArray
- You don't create the plhs[ ] mxArray variables before using them
Normally, when working with mex routines one would do the following in order:
- Check that inputs are exactly as expected
- Create the output plhs[ ] mxArray variables
- Get the pointers to the data areas of the plhs[ ] mxArray variables
- Pass these pointers to the calculation routines
In your case, maybe there is a reason you want to use the gsl_matrix_alloc( ) routine for your memory allocation instead of the MATLAB API memory allocation functions. Fine, but if you do this then you will have to copy the result into the plhs[ ] mxArray data area. You can't attach the pointer directly because that will screw up the MATLAB Memory Manager and lead to a crash downstream. But in all cases you need to create the plhs[ ] mxArray variables first. E.g., if we just go with your current memory allocation scheme you would need to copy the data:
EDIT for gsl data copy
QUESTION
First of all, I'm new to C++. Tbh I find it very hard to "get used to" but the last week I have been trying to "translate" a script from Python to C++ due to computational time requirements.
One of the problem I have is root-finding of simple 1D functions:
First the simple MWE from Python: Trying to solve ax^2+bx+c = 0 :
...ANSWER
Answered 2021-Mar-17 at 18:30What you need is to look into this similar issue with good explanation how to make it work error in GSL - root finding. To help, you can use https://www.desmos.com/calculator/zuaqvcvpbz to view the function, and you can set initial values like this: double x_lo = 0.0, x_hi = 1.0; in your implementation to make it run; Adding this code will help to find appropriate values for x_lo and x_hi :
QUESTION
I really want to pass a variable that is auto
(function) as input in another function.
Here is a structure that receives parameters for my xroot f
:
ANSWER
Answered 2021-Mar-17 at 16:24auto
is just a placeholder for a compiler-deduced type, depending on the context in which auto
is used.
In your example, you can't use auto
as the return value of my_f_params::inter_auto()
, because the compiler has no way to know what type inter_auto()
actually returns, so it can't deduce the type of the auto
. You would need to do this instead:
QUESTION
I have the following C code:
...ANSWER
Answered 2021-Mar-09 at 07:50You didn't post your full code as a MWE, so I made a new implementation below. Unfortunately, currently the SVD in GSL requires M >= N, so I compute the SVD of the transpose of the matrix, and then output the correct U and V factors from that.
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