Do all variables with the shared attribute need to be declared in a global subroutine?
No.
You haven't shown an example code, your compile command, nor have you identified the version of the PGI compiler tools you are using. However, the most likely explanation I can think of for what you are seeing is that as of PGI 14.x, the default CUDA compile option is to generate relocatable device code. This is documented in section 2.2.3 of the current PGI release notes:
2.2.3. Relocatable Device Code
An rdc option is available for the –ta=tesla and –Mcuda flags that specifies to generate
relocatable device code. Starting in PGI 14.1 on Linux and in PGI 14.2 on Windows, the default
code generation and linking mode for Tesla-target OpenACC and CUDA Fortran is rdc,
relocatable device code.
You can disable the default and enable the old behavior and non-relocatable code by specifying
any of the following: –ta=tesla:nordc, –Mcuda=nordc, or by specifying any 1.x compute
capability or any Radeon target.
So a specific option to (disable)enable this is:
–Mcuda=(no)rdc
(note that -Mcuda=rdc
is the default, if you don't specify this option)
CUDA Fortran separates Fortran host code from device code. For the device code, the CUDA Fortran compiler does a CUDA Fortran->CUDA C conversion, and passes the auto-generated CUDA C code to the CUDA C compiler. Therefore, the behavior and expectations of switches like rdc
and ptxinfo
are derived from the behavior of the underlying equivalent CUDA compiler options (-rdc=true
and -Xptxas -v
, respectively).
When CUDA device code is compiled without the rdc
option, the compiler will normally try to inline device (sub)routines that are called from a kernel, into the main kernel code. Therefore, when the compiler is generating the ptxinfo
, it can determine all resource requirements (e.g. shared memory, registers, etc.) when it is compiling (ptx assembly) the kernel code.
When the rdc
option is specified, however, the compiler may (depending on some other switches and function attributes) leave the device subroutines as separately callable routines with their own entry point (i.e. not inlined). In that scenario, when the device compiler is compiling the kernel code, the call to the device subroutine just looks like a call instruction, and the compiler (at that point) has no visibility into the resource usage requirements of the device subroutine. This does not mean that there is an underlying flaw in the compile sequence. It simply means that the ptxinfo
mechanism cannot accurately roll up the resource requirements of the kernel and all of it's called subroutines, at that point in time.
The ptxinfo
output also does not declare the total amount of shared memory used by a device subroutine, when it is compiling that subroutine, in rdc
mode.
If you turn off the rdc mode:
–Mcuda=nordc
I believe you will see an accurate accounting of the shared memory used by a kernel plus all of its called subroutines, given a few caveats, one of which is that the compiler is able to successfully inline your called subroutines (pretty likely, and the accounting should still work even if it can't) another of which is that you are working with a kernel plus all of its called subroutines in the same file (i.e. translation unit). If you have kernels that are calling device subroutines in different translation units, then the rdc
option is the only way to make it work.
Shared memory will still be appropriately allocated for your code at runtime, regardless (assuming you have not violated the total amount of shared memory available). You can also get an accurate reading of the shared memory used by a kernel by profiling your code, using a profiler such as nvvp or nvprof.
If this explanation doesn't describe what you are seeing, I would suggest providing a complete sample code, as well as the exact compile command you are using, plus the version of PGI tools you are using. (I think it's a good suggestion for future questions as well.)