Copyright 2024 Fluid Numerics LLC
fgputensor is an equation parser Fortran class that is used to interpret and evaluate functions provided as strings.
This library provides derived types to define "tensors" in Fortran that have CPU and GPU memory pointers.
CPU memory is defined through Fortran multi-dimensional pointer arrays
GPU memory is defined through type(c_ptr) from iso_c_binding
Additional utilities are provided to make it a little easier to manage CPU and GPU data in Fortran.
fgputensor can be installed using CMake.
All you need is a Fortran compiler that is compliant with the Fortran 2008 standard and supports C interoperability. Additionally, the table below lists the supported compilers. You will need to have CMake version 3.0.2 or greater.
For a quick installation to /usr/local/fgputensor,
cd build/
cmake ../
make
sudo make install
If you'd like to run the provided tests to verify your installation, simply run ctest while in the build/ subdirectory.
The following combinations are tested on the main branch of fgputensor:
| Name | Version | Platform | Build System | Architecture |
|---|---|---|---|---|
| GNU Fortran | 9, 10, 11, 12 | Ubuntu 22.04.2 LTS | cmake |
x86_64 |
Intel oneAPI (ifx) |
2023.2 | Ubuntu 22.04.2 LTS | cmake |
x86_64 |
Intel oneAPI classic (ifort) |
2021.1 | Ubuntu 22.04.2 LTS | cmake |
x86_64 |
Note
Examples are included in the example/ subdirectory
Included examples
simple_2d_array.f90- Creates a 2d float32 tensor with CPU and GPU data pointers.
Example Makefile
FC = gfortran
FLIBS += -L/usr/local/fgputensor/lib -lfgputensor
FFLAGS += -I/usr/local/fgputensor/include
demo : fgputensor_demo.f90
${FC} -c fgputensor_demo.f90 ${FFLAGS}
${FC} fgputensor_demo.o ${FFLAGS} ${FLIBS} -o $@
Example program
program fgputensor_demo
use FGPUTensor
implicit none
type(tensor_f32_r2) :: t
call t % init((/100,100/),0)
call t % info()
call t % free()
end program fgputensor_demo
- (Maintainer) Joe Schoonover, Fluid Numerics LLC
