ecmwf-ifs / field_api

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Field API

Field API aims to ease the management and the transfer of data between CPUs and GPUs for the Météo-France/ECMWF software.

The API is using fypp heavily to generate the code for several types and dimensions. It might look complicated, but if you are just using the API then you should not worry about it.

Compilation

Requirements

Building FIELD_API requires:

  • A Fortran 2008 compliant compiler with support for:
    • OpenMP for CPU multi-threading
    • OpenACC/CUDA for GPU offload (optional)
  • CMake (>= 3.24)
  • ecbuild (cloned if not found)
  • fypp (cloned if not found)
  • fiat (optional)

To build FIELD_API without fiat, the path to the directory containing the utility modules oml_mod.F90, abor1.F90 and parkind1.F90 must be specified using the CMake variable UTIL_MODULE_PATH.

Build and test

mkdir build
cd build
cmake .. # configure FIELD_API build
make # build FIELD_API
make install #optional, install FIELD_API
ctest #Optional, will run the tests

Using FIELD_API

FIELD_API can be compiled as an external library and used in any CMake project simply by setting the environment variable field_api_ROOT to the FIELD_API builddir. Alternatively, FIELD_API can also be installed to a location on the PATH.

Arch files

Architecture specific environment variables and compiler flags can be set by sourcing one of the env.sh files provided in the arch directory.

Features

Features of FIELD_API can be toggled by passing the following argument to the CMake configure step: -DENABLE_<FEATURE>=ON/OFF. The table below lists all the available features:

Feature Default Description
TESTS ON Build the testing suite.
BUDDY_MALLOC ON Enable the use of a binary buddy memory allocator for the shadow host allocation for FIELD%DEVPTR. This option is switched off if CUDA is enabled.
ACC ON Enable the use of OpenACC for GPU offload.
SINGLE_PRECISION ON Enable the compilation of field_api in single precision
DOUBLE_PRECISION ON Enable the compilation of field_api in double precision
CUDA OFF Enable the use of CUDA for GPU offload. Disables the use of the buddy memory allocator, removes the shadow host allocation for FIELD%DEVPTR and allocates owned fields (see below) in pinned (page-locked) host memory.

Supported compilers

The library has been tested with the nvhpc toolkit from Nvidia, version 23.9 and is continually tested with newer releases. It has also been tested on CPU (-DENABLE_ACC=OFF) with GCC 12 and Intel 2021. The CI testing (CPU-only for now) uses GNU 11.4.

Field API types

Field API can encapsulate arrays of different types (REAL, INTEGER, LOGICAL) and different dimensions (2D, 3D, 4D). Adding new dimensions would be trivial and just a matter of editing the field_definitions.fypp file. Adding the encapsulation of new type would be easy if they are similar to the ones already encapsulated.

Field API can be used to encapsulate data when used by a single thread or with multiple threads. By default (persistent option unset or set to true), the last dimension is used to store the thread number, and then each thread will access only a single dimension of the array through a view.

SUBROUTINE SUB()
USE FIELD_MODULE
USE FIELD_FACTORY_MODULE
CLASS(FIELD_2RB), POINTER :: FO => NULL()
TYPE(FIELD_2D_VIEW_PTR) :: V

!Will create a field with the first dimension going from 1 to 10 and second from 1 to OMP_NUM_THREADS
CALL FIELD_NEW(FO, LBOUNDS=/1,1/, UBOUNDS=/10,1/)

DO IBLK=1,NBLKS
  V => FO%GET_VIEW(IBLK)
  !do stuff with v
ENDDO
  
CALL FIELD_DELETE(FO)

Furthermore field API provides two way of encapsulating the data: wrappers and owners

WRAPPER

The field API wrappers (eg. FIELD_2D_WRAPPER) provide a way to encapsulate data which was already allocated before entering a part of the code which uses field API. It is really just adding a wrapper around an array.

For instance, let say there are some data used in the code that has nothing to do with GPUs. The data are allocated there and used there. But at some point, maybe deeper in the code, those data are in fact needed on GPU. Instead of having to declare a field API object high in the call stack, one could simply declare a field api wrapper when needed.

SUBROUTINE SUB(MYDATA)
USE FIELD_MODULE
USE FIELD_FACTORY_MODULE
INTEGER, INTENT(INOUT) :: MYDATA(:,:)
CLASS(FIELD_2RB), POINTER :: FW => NULL()

!Wrap MYDATA into field wrapper FW
CALL FIELD_NEW(FW, DATA=MYDATA)

!do stuff

CALL FIELD_DELETE(FW)

!MYDATA is still accessible
MYDATA(1,2) = 7

OWNER

The field API owners (eg. FIELD_2D_OWNER) provide a way to declare and allocate data to be used on CPU and GPU. The data is allocated by the API, the user doesn't have to allocate data by itself. Similarly, the user doesn't deallocate the data by himself, it is done by the API. When creating a owner, the user will need to provide the two arrays used to specify the lower and upper bounds of the array that will be created by field api.

SUBROUTINE SUB()
USE FIELD_MODULE
USE FIELD_FACTORY_MODULE
CLASS(FIELD_2RB), POINTER :: FO => NULL()

!Allocate data with field API 
!The allocated data will have a first dimension
!going from 1 to 10 and a second from 0 to 10.
CALL FIELD_NEW(FO, /1,0/, /10,10/, PERSISTENT=.FALSE.)

!do stuff

CALL FIELD_DELETE(FO)
!The data has now be freed on CPU and GPU and cannot be accessed anymore

Delayed allocations

Field owners also provide a way to delay the allocation of data. The user can ask a field owner to be created without allocating the data. The allocation would then happen only if the data would be requested at some point, later in the program. It can be useful if one doesn't want to waste memory on data that might be only conditionally used. But please keep in mind, that allocating data can be slow and will slow down the program if done during a computation heavy part of the code.

SUBROUTINE SUB(MYTEST)
LOGICAL, INTENT(IN) :: MYTEST
USE FIELD_MODULE
USE FIELD_FACTORY_MODULE
CLASS(FIELD_2RB), POINTER :: FO => NULL()

!Declare a field owner, no allocation will happen here
CALL FIELD_NEW(FO, /1,0/, /10,10/, PERSISTENT=.FALSE., DELAYED=.TRUE.)

IF (MYTEST) THEN
!do stuff with FO
!allocation wil happen here
ENDIF

CALL FIELD_DELETE(FO)
!The data will be freed if MYTEST was true, otherwise there are no data to deallocate

Initialisation

In the case of field owner it is possible to initiliase it with a specific value at creation time by adding the INIT_VALUE optional argument.

   CLASS(FIELD_2IM), POINTER :: O => NULL()
   !This field owner will be initialised to 3
   CALL FIELD_NEW(O, LBOUNDS=[1,1], UBOUNDS=[10,10], INIT_VALUE=3_JPIM)

It is also possible to activate a debug value to initialise all non-initialised owner. To do so it is necessary to import the module field_init_debug_module and set use_init_debug_value to true. Then one can set init_debug_value_jpim to a custom value.

   USE FIELD_INIT_DEBUG_VALUE_MODULE
   USE_INIT_DEBUG_VALUE = .TRUE.
   INIT_DEBUG_VALUE_JPIM = -7
   !This field owner will be initialised to -7
   CALL FIELD_NEW(O, LBOUNDS=[1,1], UBOUNDS=[10,10])

Asynchronism

This functionnality is still being tested.

By default all data transfers are synchronous. So every call to the subroutines GET_HOST_DATA, GET_DEVICE_DATA, SYNC_HOST, SYNC_DEVICE will stop the program until the data are actually transfered. But sometimes it is possible to interleave the data transfer with the computations. To do so you can add the QUEUE parameter when calling the aforementioned subroutines. With this QUEUE parameter the user will specify on which queue he wants the data transfer to happen, and the subroutines will return without waiting for the data transfer to finish. It is up to the user to be sure the data transfer has been done when he actually wants to use the data. This can be checked by using the WAIT_FOR_ASYNC_QUEUE subroutine.

SUBROUTINE SUB(MYTEST)
USE FIELD_MODULE
USE FIELD_FACTORY_MODULE
CLASS(FIELD_2RB), POINTER :: FO => NULL()
CLASS(FIELD_2RB), POINTER :: FO2 => NULL()
LOGICAL, INTENT(IN) :: MYTEST

CALL FIELD_NEW(FO, /1,0/, /10,10/)
CALL FIELD_NEW(FO2, /1,0/, /10,10/)

!Do stuff with FO on GPUs
!Then transfer data to CPU
CALL FO%SYNC_HOST_RDONLY(QUEUE=2)

!Do stuff with FO2 on GPUs
!We didn't have to wait for the data transfer of FO to finish

!Make sure the data transfer for FO is finished
CALL WAIT_FOR_ASYNC_QUEUE(QUEUE=2)

...

Statistics

Each field API variable maintains statistics about the time it spend on data transfer and the number of time it happened. You can access them through the field FW%STATS

For instance:

...
NUM_CPU_GPU_TR=FW%STATS%TRANSFER_CPU_TO_GPU
AVG=FW%STATS%TOTAL_TIME_TRANSFER_CPU_TO_GPU/FW%STATS%TRANSFER_CPU_TO_GPU
write(*,*)"Num transfer CPU->GPU", NUM_CPU_GPU_TR
write(*,*)"Total/Avg Time spend on transfer CPU->GPU", NUM_CPU_GPU_TR, "/" AVG, 
...

Note on GET_VIEW

GET_VIEW must only be called in sections of code running on the host. The field's data must be present on the host. It will not work if the data are on the device or if the field has not been allocated yet (when using the DELAY option).

Public API

For field api type:

SUBROUTINE FIELD_NEW(SELF, ...)
SUBROUTINE FIELD_RESIZE(SELF, ...)
SUBROUTINE FIELD_DELETE(SELF)
SUBROUTINE DELETE_DEVICE
FUNCTION GET_VIEW(SELF, BLOCK_INDEX, ZERO) RESULT(VIEW_PTR)
SUBROUTINE GET_DEVICE_DATA_RDONLY (SELF, PPTR, QUEUE)
SUBROUTINE GET_DEVICE_DATA_RDWR (SELF, PPTR, QUEUE)
SUBROUTINE GET_HOST_DATA_RDONLY (SELF, PPTR, QUEUE)
SUBROUTINE GET_HOST_DATA_RDWR (SELF, PPTR, QUEUE)
SUBROUTINE SYNC_HOST_RDWR (SELF, QUEUE)
SUBROUTINE SYNC_HOST_RDONLY (SELF, QUEUE)
SUBROUTINE SYNC_DEVICE_RDWR (SELF, QUEUE)
SUBROUTINE SYNC_DEVICE_RDONLY (SELF, QUEUE)
SUBROUTINE COPY_OBJECT (SELF, LDCREATED)
SUBROUTINE WIPE_OBJECT (SELF, LDDELETED)
SUBROUTINE GET_DIMS (SELF, LBOUNDS, UBOUNDS)

Utils:

SUBROUTINE WAIT_FOR_ASYNC_QUEUE(QUEUE)
TYPE FIELD_*D_PTR

Stats:

INTEGER :: TRANSFER_CPU_TO_GPU 
INTEGER :: TRANSFER_GPU_TO_CPU
REAL :: TOTAL_TIME_TRANSFER_CPU_TO_GPU
REAL :: TOTAL_TIME_TRANSFER_GPU_TO_CPU

License

The field API library is licenced under the Apache licence, version 2.0.

buddy_alloc is property of Stanislav Paskalev and licensed under the BSD Zero Clause License

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License:Apache License 2.0


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