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