nda is a C++ library providing an efficient and flexible multi-dimensional array class. It is an essential building-block of the TRIQS project. Some features include
- coded in C++17/20 using concepts
- expressions are implemented lazily for maximum performance
- flexible and lightweight view-types
- matrix and vector class with BLAS / LAPACK backend
- easily store and retrieve arrays to and from hdf5 files using h5
- common mpi functionality using mpi
Install instructions are provided here.
A prelimenary reference documentation based on Doxygen is provided at triqs.github.io/nda.
#include <nda/nda.hpp>
#include <nda/h5.hpp>
using namespace nda;
int main() {
// Create array of shape (4,4,4)
array<long, 3> A(4, 4, 4);
// Create an array given its data
array<long, 2> B{{1, 2}, {3, 4}, {5, 6}};
// Assign
A() = 0;
A(0, 1, 2) = 40;
// Access
int a = A(0, 1, 2) + B(0, 1);
// Slicing to a view of shape (3, 2)
auto V = A(range(0, 3), range(0, 2), 0);
// Lazy Arithmetic operations
auto C = V + 2 * B;
// Algorithms
min_element(V);
max_element(V);
sum(V);
// write to file
{
h5::file file("dat.h5", 'w');
h5_write(file, "A", A);
}
// read from file
array<long, 3> D;
{
h5::file file("dat.h5", 'r');
h5_read(file, "A", D);
}
}
For further examples we refer the users to our tests.