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## Compilers
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ARCH =
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H5CXX = h5c++
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CXX = clang++
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FC = flang
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## Compiler flags
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H5CXXFLAGS = -O0 -g
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CXXFLAGS = -O0 -g
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FFLAGS = -O0 -g
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The algorithm now works for the following 4x4 example with 2 updates:
S = [1,0,1,-1; 0,1,1,0; -1,0,-1,0; 1,1,1,1]
S_inv = [1,-1,1,1; 1,0,2,1; -1,1,-2,-1; -1,0,-1,0]
u1 = [0,-2,0,0]
u2 = [0,-1,0,0]
upd_idx = [2,4]
To go from Maponi's examples where the number of updates is always equal
to the the dimension of the matrix, and the decomposition is always
diagonal, to cases with a non-diagonal decomposition and a number of
updates unequal to its size, the following changed needed to be made:
* in the calculation of the {y0k} an extra inner for-loop needs to be
added to make it a full matrix-vector multiplication due to the fact
that A0 is not a diagonal matrix
* in some places the use of the update-order vector p needs
the be replaced with that of upd_idx to make sure the correct
component of the ylk is selected and the proper rank-1 matrices are
constructed
* when a matrix is passed from Fortran to C++ with 2D adressing, it is
passed in colum-major order. The passed matrix needs to be transposed
before passing to C++. Doing this inside the algorithm will break
compatibility with called from C/C++.
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INCLUDE = -I $(INC_DIR)/
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DEPS_CXX = $(OBJ_DIR)/SM_MaponiA3.o $(OBJ_DIR)/SM_Standard.o
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DEPS_F = $(DEPS_CXX) $(OBJ_DIR)/SM_MaponiA3_mod.o $(OBJ_DIR)/Helpers_mod.o
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FLIBS = -lstdc++
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The algorithm now works for the following 4x4 example with 2 updates:
S = [1,0,1,-1; 0,1,1,0; -1,0,-1,0; 1,1,1,1]
S_inv = [1,-1,1,1; 1,0,2,1; -1,1,-2,-1; -1,0,-1,0]
u1 = [0,-2,0,0]
u2 = [0,-1,0,0]
upd_idx = [2,4]
To go from Maponi's examples where the number of updates is always equal
to the the dimension of the matrix, and the decomposition is always
diagonal, to cases with a non-diagonal decomposition and a number of
updates unequal to its size, the following changed needed to be made:
* in the calculation of the {y0k} an extra inner for-loop needs to be
added to make it a full matrix-vector multiplication due to the fact
that A0 is not a diagonal matrix
* in some places the use of the update-order vector p needs
the be replaced with that of upd_idx to make sure the correct
component of the ylk is selected and the proper rank-1 matrices are
constructed
* when a matrix is passed from Fortran to C++ with 2D adressing, it is
passed in colum-major order. The passed matrix needs to be transposed
before passing to C++. Doing this inside the algorithm will break
compatibility with called from C/C++.
2021-02-21 18:28:08 +01:00
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SRC_DIR := src
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TST_DIR := tests
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INC_DIR := include
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OBJ_DIR := build
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BIN_DIR := bin
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The algorithm now works for the following 4x4 example with 2 updates:
S = [1,0,1,-1; 0,1,1,0; -1,0,-1,0; 1,1,1,1]
S_inv = [1,-1,1,1; 1,0,2,1; -1,1,-2,-1; -1,0,-1,0]
u1 = [0,-2,0,0]
u2 = [0,-1,0,0]
upd_idx = [2,4]
To go from Maponi's examples where the number of updates is always equal
to the the dimension of the matrix, and the decomposition is always
diagonal, to cases with a non-diagonal decomposition and a number of
updates unequal to its size, the following changed needed to be made:
* in the calculation of the {y0k} an extra inner for-loop needs to be
added to make it a full matrix-vector multiplication due to the fact
that A0 is not a diagonal matrix
* in some places the use of the update-order vector p needs
the be replaced with that of upd_idx to make sure the correct
component of the ylk is selected and the proper rank-1 matrices are
constructed
* when a matrix is passed from Fortran to C++ with 2D adressing, it is
passed in colum-major order. The passed matrix needs to be transposed
before passing to C++. Doing this inside the algorithm will break
compatibility with called from C/C++.
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EXEC := $(BIN_DIR)/cMaponiA3_test_3x3_3 \
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$(BIN_DIR)/test_internal_h5 \
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$(BIN_DIR)/test_external_h5 \
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$(BIN_DIR)/fMaponiA3_test_3x3_3 \
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$(BIN_DIR)/fMaponiA3_test_4x4_2 \
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$(BIN_DIR)/QMCChem_dataset_test
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The algorithm now works for the following 4x4 example with 2 updates:
S = [1,0,1,-1; 0,1,1,0; -1,0,-1,0; 1,1,1,1]
S_inv = [1,-1,1,1; 1,0,2,1; -1,1,-2,-1; -1,0,-1,0]
u1 = [0,-2,0,0]
u2 = [0,-1,0,0]
upd_idx = [2,4]
To go from Maponi's examples where the number of updates is always equal
to the the dimension of the matrix, and the decomposition is always
diagonal, to cases with a non-diagonal decomposition and a number of
updates unequal to its size, the following changed needed to be made:
* in the calculation of the {y0k} an extra inner for-loop needs to be
added to make it a full matrix-vector multiplication due to the fact
that A0 is not a diagonal matrix
* in some places the use of the update-order vector p needs
the be replaced with that of upd_idx to make sure the correct
component of the ylk is selected and the proper rank-1 matrices are
constructed
* when a matrix is passed from Fortran to C++ with 2D adressing, it is
passed in colum-major order. The passed matrix needs to be transposed
before passing to C++. Doing this inside the algorithm will break
compatibility with called from C/C++.
2021-02-21 18:28:08 +01:00
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2021-02-04 18:52:26 +01:00
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## Build tagets
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.PHONY: all clean distclean
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all: $(EXEC)
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clean:
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@rm -vrf $(OBJ_DIR)
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distclean: clean
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@rm -vrf $(BIN_DIR) \
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Slater* Updates.dat
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The algorithm now works for the following 4x4 example with 2 updates:
S = [1,0,1,-1; 0,1,1,0; -1,0,-1,0; 1,1,1,1]
S_inv = [1,-1,1,1; 1,0,2,1; -1,1,-2,-1; -1,0,-1,0]
u1 = [0,-2,0,0]
u2 = [0,-1,0,0]
upd_idx = [2,4]
To go from Maponi's examples where the number of updates is always equal
to the the dimension of the matrix, and the decomposition is always
diagonal, to cases with a non-diagonal decomposition and a number of
updates unequal to its size, the following changed needed to be made:
* in the calculation of the {y0k} an extra inner for-loop needs to be
added to make it a full matrix-vector multiplication due to the fact
that A0 is not a diagonal matrix
* in some places the use of the update-order vector p needs
the be replaced with that of upd_idx to make sure the correct
component of the ylk is selected and the proper rank-1 matrices are
constructed
* when a matrix is passed from Fortran to C++ with 2D adressing, it is
passed in colum-major order. The passed matrix needs to be transposed
before passing to C++. Doing this inside the algorithm will break
compatibility with called from C/C++.
2021-02-21 18:28:08 +01:00
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#### COMPILING
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$(BIN_DIR) $(OBJ_DIR):
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mkdir -p $@
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### IMPLICIT BUILD RULES
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## C++ objects
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$(OBJ_DIR)/%.o: $(TST_DIR)/%.cpp $(INC_DIR)/* | $(OBJ_DIR)
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$(CXX) $(CXXFLAGS) $(ARCH) $(INCLUDE) -c -o $@ $<
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## HDF5/C++ objects
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$(OBJ_DIR)/%_h5.o: $(TST_DIR)/%_h5.cpp $(INC_DIR)/* | $(OBJ_DIR)
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$(H5CXX) $(H5CXXFLAGS) $(INCLUDE) -c -o $@ $<
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## Fortran modules
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$(OBJ_DIR)/%_mod.o: $(SRC_DIR)/%_mod.f90 | $(OBJ_DIR)
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$(FC) $(FFLAGS) $(ARCH) -module $(OBJ_DIR)/ -c -o $@ $<
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## Fortran objects
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$(OBJ_DIR)/%.o: $(TST_DIR)/%.f90 | $(OBJ_DIR)
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$(FC) $(FFLAGS) $(ARCH) -I $(OBJ_DIR)/ -c -o $@ $<
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### EXPLICIT BUILD RULES
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## special compiler flag -fPIC otherwise h5c++ builds fail
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$(OBJ_DIR)/SM_MaponiA3.o: $(SRC_DIR)/SM_MaponiA3.cpp $(INC_DIR)/* | $(OBJ_DIR)
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$(CXX) $(CXXFLAGS) -fPIC $(ARCH) $(INCLUDE) -c -o $@ $<
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$(OBJ_DIR)/SM_Standard.o: $(SRC_DIR)/SM_Standard.cpp $(INC_DIR)/* | $(OBJ_DIR)
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$(CXX) $(CXXFLAGS) -fPIC $(ARCH) $(INCLUDE) -c -o $@ $<
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#### LINKING
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$(BIN_DIR)/cMaponiA3_test_3x3_3: $(OBJ_DIR)/cMaponiA3_test_3x3_3.o $(DEPS_CXX) | $(BIN_DIR)
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$(CXX) -o $@ $^
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$(BIN_DIR)/test_internal_h5: $(OBJ_DIR)/test_internal_h5.o $(DEPS_CXX) | $(BIN_DIR)
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$(H5CXX) -o $@ $^
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$(BIN_DIR)/test_external_h5: $(OBJ_DIR)/test_external_h5.o $(DEPS_CXX) | $(BIN_DIR)
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$(H5CXX) -o $@ $^
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$(BIN_DIR)/fMaponiA3_test_3x3_3: $(DEPS_F) $(OBJ_DIR)/fMaponiA3_test_3x3_3.o | $(BIN_DIR)
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$(FC) $(FLIBS) -o $@ $^
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$(BIN_DIR)/fMaponiA3_test_4x4_2: $(DEPS_F) $(OBJ_DIR)/fMaponiA3_test_4x4_2.o | $(BIN_DIR)
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$(FC) $(FLIBS) -o $@ $^
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$(BIN_DIR)/QMCChem_dataset_test: $(DEPS_F) $(OBJ_DIR)/QMCChem_dataset_test.o | $(BIN_DIR)
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$(FC) $(FLIBS) -o $@ $^
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