OpenACC support in 4.9

Tobias Burnus burnus@net-b.de
Fri May 10 10:06:00 GMT 2013


Jakub Jelinek wrote:
[Fallback generation of CPU code]
> If one uses the OpenMP 4.0 accelerator pragmas, then that is the required
> behavior, if the code is for whatever reason not possible to run on the
> accelerator, it should be executed on host [...]
(I haven't checked, but is this a compile time or run-time requirement?)

> Otherwise, the OpenMP runtime as well as the pragmas have a way to choose which accelerator you want to run something on, as device id (integer), so the OpenMP runtime library should maintain the list of supported accelerators (say if you have two Intel MIC cards, and two AMD GPGPU devices), and probably we'll need a compiler switch to say for which kinds of accelerators we want to generate code for, plus the runtime could have dlopened plugins for each of the accelerator kinds.

At least two OpenACC implementations I know fail hard when the GPU is 
not available (nonexisting or if the /dev/... has not the right 
permissions). And three of them fail at compile time with an error 
message if an expression within a device section is not possible (e.g. 
calling some nondevice/noninlinable function).

While it is convenient to have CPU fallback, it would be nice to know 
whether some code actually uses the accelerator - both at compile time 
and at run time. Otherwise, one thinks the the GPU is used - without 
realizing that it isn't because, e.g. the device permissions are wrong - 
or one forgot to declare a certain function as target function.

Besides having a flag which tells the compiler for which accelerator the 
code should be generated, also additional flags should be handled, e.g. 
for different versions of the accelerator. For instance, one accelerator 
model of the same series might support double-precision variables while 
another might not. - I assume that falling back to the CPU if the 
accelerator doesn't support a certain feature won't work and one will 
get an error in this case.


Is there actually the need to handle multiple accelerators 
simultaneously? My impression is that both OpenACC and OpenMP 4 assume 
that there is only one kind of accelerator available besides the host. 
If I missed some fine print or something else  requires that there are 
multiple different accelerators, it will get more complicated - 
especially for those code section where the user didn't explicitly 
specify which one should be used.


Finally, one should think about debugging. It is not really clear (to 
me) how to handle this best, but as the compiler generates quite some 
additional code (e.g. for copying the data around) and as printf 
debugging doesn't work on GPUs, it is not that easy. I wonder whether 
there should be an optional library like libgomp_debug which adds 
additional sanity checks (e.g. related to copying data to/from the GPU) 
and which allows to print diagnostic output, when one sets an 
environment variables.

Tobias



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