mirror of
https://gitlab.com/libeigen/eigen.git
synced 2024-12-27 07:29:52 +08:00
155 lines
6.3 KiB
Plaintext
155 lines
6.3 KiB
Plaintext
Bench Template Library
|
|
|
|
****************************************
|
|
Introduction :
|
|
|
|
The aim of this project is to compare the performance
|
|
of available numerical libraries. The code is designed
|
|
as generic and modular as possible. Thus, adding new
|
|
numerical libraries or new numerical tests should
|
|
require minimal effort.
|
|
|
|
|
|
*****************************************
|
|
|
|
Installation :
|
|
|
|
BTL uses cmake / ctest:
|
|
|
|
1 - create a build directory:
|
|
|
|
$ mkdir build
|
|
$ cd build
|
|
|
|
2 - configure:
|
|
|
|
$ ccmake ..
|
|
|
|
3 - run the bench using ctest:
|
|
|
|
$ ctest -V
|
|
|
|
You can run the benchmarks only on libraries matching a given regular expression:
|
|
ctest -V -R <regexp>
|
|
For instance:
|
|
ctest -V -R eigen2
|
|
|
|
You can also select a given set of actions defining the environment variable BTL_CONFIG this way:
|
|
BTL_CONFIG="-a action1{:action2}*" ctest -V
|
|
An exemple:
|
|
BTL_CONFIG="-a axpy:vector_matrix:trisolve:ata" ctest -V -R eigen2
|
|
|
|
Finally, if bench results already exist (the bench*.dat files) then they merges by keeping the best for each matrix size. If you want to overwrite the previous ones you can simply add the "--overwrite" option:
|
|
BTL_CONFIG="-a axpy:vector_matrix:trisolve:ata --overwrite" ctest -V -R eigen2
|
|
|
|
4 : Analyze the result. different data files (.dat) are produced in each libs directories.
|
|
If gnuplot is available, choose a directory name in the data directory to store the results and type:
|
|
$ cd data
|
|
$ mkdir my_directory
|
|
$ cp ../libs/*/*.dat my_directory
|
|
Build the data utilities in this (data) directory
|
|
make
|
|
Then you can look the raw data,
|
|
go_mean my_directory
|
|
or smooth the data first :
|
|
smooth_all.sh my_directory
|
|
go_mean my_directory_smooth
|
|
|
|
|
|
*************************************************
|
|
|
|
Files and directories :
|
|
|
|
generic_bench : all the bench sources common to all libraries
|
|
|
|
actions : sources for different action wrappers (axpy, matrix-matrix product) to be tested.
|
|
|
|
libs/* : bench sources specific to each tested libraries.
|
|
|
|
machine_dep : directory used to store machine specific Makefile.in
|
|
|
|
data : directory used to store gnuplot scripts and data analysis utilities
|
|
|
|
**************************************************
|
|
|
|
Principles : the code modularity is achieved by defining two concepts :
|
|
|
|
****** Action concept : This is a class defining which kind
|
|
of test must be performed (e.g. a matrix_vector_product).
|
|
An Action should define the following methods :
|
|
|
|
*** Ctor using the size of the problem (matrix or vector size) as an argument
|
|
Action action(size);
|
|
*** initialize : this method initialize the calculation (e.g. initialize the matrices and vectors arguments)
|
|
action.initialize();
|
|
*** calculate : this method actually launch the calculation to be benchmarked
|
|
action.calculate;
|
|
*** nb_op_base() : this method returns the complexity of the calculate method (allowing the mflops evaluation)
|
|
*** name() : this method returns the name of the action (std::string)
|
|
|
|
****** Interface concept : This is a class or namespace defining how to use a given library and
|
|
its specific containers (matrix and vector). Up to now an interface should following types
|
|
|
|
*** real_type : kind of float to be used (float or double)
|
|
*** stl_vector : must correspond to std::vector<real_type>
|
|
*** stl_matrix : must correspond to std::vector<stl_vector>
|
|
*** gene_vector : the vector type for this interface --> e.g. (real_type *) for the C_interface
|
|
*** gene_matrix : the matrix type for this interface --> e.g. (gene_vector *) for the C_interface
|
|
|
|
+ the following common methods
|
|
|
|
*** free_matrix(gene_matrix & A, int N) dealocation of a N sized gene_matrix A
|
|
*** free_vector(gene_vector & B) dealocation of a N sized gene_vector B
|
|
*** matrix_from_stl(gene_matrix & A, stl_matrix & A_stl) copy the content of an stl_matrix A_stl into a gene_matrix A.
|
|
The allocation of A is done in this function.
|
|
*** vector_to_stl(gene_vector & B, stl_vector & B_stl) copy the content of an stl_vector B_stl into a gene_vector B.
|
|
The allocation of B is done in this function.
|
|
*** matrix_to_stl(gene_matrix & A, stl_matrix & A_stl) copy the content of an gene_matrix A into an stl_matrix A_stl.
|
|
The size of A_STL must corresponds to the size of A.
|
|
*** vector_to_stl(gene_vector & A, stl_vector & A_stl) copy the content of an gene_vector A into an stl_vector A_stl.
|
|
The size of B_STL must corresponds to the size of B.
|
|
*** copy_matrix(gene_matrix & source, gene_matrix & cible, int N) : copy the content of source in cible. Both source
|
|
and cible must be sized NxN.
|
|
*** copy_vector(gene_vector & source, gene_vector & cible, int N) : copy the content of source in cible. Both source
|
|
and cible must be sized N.
|
|
|
|
and the following method corresponding to the action one wants to be benchmarked :
|
|
|
|
*** matrix_vector_product(const gene_matrix & A, const gene_vector & B, gene_vector & X, int N)
|
|
*** matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N)
|
|
*** ata_product(const gene_matrix & A, gene_matrix & X, int N)
|
|
*** aat_product(const gene_matrix & A, gene_matrix & X, int N)
|
|
*** axpy(real coef, const gene_vector & X, gene_vector & Y, int N)
|
|
|
|
The bench algorithm (generic_bench/bench.hh) is templated with an action itself templated with
|
|
an interface. A typical main.cpp source stored in a given library directory libs/A_LIB
|
|
looks like :
|
|
|
|
bench< AN_ACTION < AN_INTERFACE > >( 10 , 1000 , 50 ) ;
|
|
|
|
this function will produce XY data file containing measured mflops as a function of the size for 50
|
|
sizes between 10 and 10000.
|
|
|
|
This algorithm can be adapted by providing a given Perf_Analyzer object which determines how the time
|
|
measurements must be done. For example, the X86_Perf_Analyzer use the asm rdtsc function and provides
|
|
a very fast and accurate (but less portable) timing method. The default is the Portable_Perf_Analyzer
|
|
so
|
|
|
|
bench< AN_ACTION < AN_INTERFACE > >( 10 , 1000 , 50 ) ;
|
|
|
|
is equivalent to
|
|
|
|
bench< Portable_Perf_Analyzer,AN_ACTION < AN_INTERFACE > >( 10 , 1000 , 50 ) ;
|
|
|
|
If your system supports it we suggest to use a mixed implementation (X86_perf_Analyzer+Portable_Perf_Analyzer).
|
|
replace
|
|
bench<Portable_Perf_Analyzer,Action>(size_min,size_max,nb_point);
|
|
with
|
|
bench<Mixed_Perf_Analyzer,Action>(size_min,size_max,nb_point);
|
|
in generic/bench.hh
|
|
|
|
.
|
|
|
|
|
|
|