# Starting Accel. Fortran

**URL:** <https://forums.developer.nvidia.com/t/starting-accel-fortran/132251>\
**Category:** Legacy PGI Compilers (archived)\
**Created:** [February 15, 2011, 11:29pm UTC](https://forums.developer.nvidia.com/t/starting-accel-fortran/132251 "2011-02-15T23:29:08Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![waku2005](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@waku2005](https://forums.developer.nvidia.com/u/waku2005)\
**Post date:** [February 15, 2011, 11:29pm UTC](https://forums.developer.nvidia.com/t/starting-accel-fortran/132251/1 "2011-02-15T23:29:08Z")

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Dear all;

I’ve just started accelerated fortran after reading below contents  
with downloadable sample program (tared file)

> **[NVIDIA Developer](https://developer.nvidia.com/legacy-pgi-support)**
>
> Get support, license, and downloads for legacy PGI compilers and tools.

I succeseeded to run the first and second sample program, but failed the 3rd (last) one.  
I’ll appriciate to some comments.

My environment:  
CentOS 5.5 x86\_64  
PGI Accel. WS for linux (PGI2011.02)  
ELSA quadro 5000  
CUDA 3.2 TK and driver from NVIDIA site  
(pgaccelinfo and devicequery seems to be fine for the device)

Build and error logs:  
[waku@ensis10 pgi]$ pgfortran -ta=nvidia,cc20,time -Minfo pgi\_test\_3.f90  
smooth:  
10, Generating copyout(a(2:n-1,2:m-1))  
Generating copyin(b(1:n,1:m))  
Generating copyout(b(2:n-1,2:m-1))  
Generating compute capability 2.0 binary  
11, Loop carried dependence due to exposed use of ‘b(1:n,1:m)’ prevents parallelization  
Parallelization would require privatization of array ‘a(i2+2,2:m-1)’  
Sequential loop scheduled on host  
13, Loop is parallelizable  
14, Loop is parallelizable  
Accelerator kernel generated  
13, !$acc do parallel, vector(16) ! blockidx%x threadidx%x  
Cached references to size [18x18] block of ‘b’  
14, !$acc do parallel, vector(16) ! blockidx%y threadidx%y  
CC 2.0 : 25 registers; 1304 shared, 88 constant, 0 local memory bytes; 66% occupancy  
21, Loop is parallelizable  
22, Loop is parallelizable  
Accelerator kernel generated  
21, !$acc do parallel, vector(16) ! blockidx%x threadidx%x  
22, !$acc do parallel, vector(16) ! blockidx%y threadidx%y  
CC 2.0 : 13 registers; 8 shared, 80 constant, 0 local memory bytes; 100% occupancy  
[waku@ensis10 pgi]$ ./a.out  
launch kernel file=/ssd/cuda/cudaf/pgi/pgi\_test\_3.f90 function=smooth line=14 device=0 grid=7x7 block=16x16  
launch kernel file=/ssd/cuda/cudaf/pgi/pgi\_test\_3.f90 function=smooth line=22 device=0 grid=7x7 block=16x16  
launch kernel file=/ssd/cuda/cudaf/pgi/pgi\_test\_3.f90 function=smooth line=14 device=0 grid=7x7 block=16x16  
launch kernel file=/ssd/cuda/cudaf/pgi/pgi\_test\_3.f90 function=smooth line=22 device=0 grid=7x7 block=16x16  
launch kernel file=/ssd/cuda/cudaf/pgi/pgi\_test\_3.f90 function=smooth line=14 device=0 grid=7x7 block=16x16  
launch kernel file=/ssd/cuda/cudaf/pgi/pgi\_test\_3.f90 function=smooth line=22 device=0 grid=7x7 block=16x16  
launch kernel file=/ssd/cuda/cudaf/pgi/pgi\_test\_3.f90 function=smooth line=14 device=0 grid=7x7 block=16x16  
launch kernel file=/ssd/cuda/cudaf/pgi/pgi\_test\_3.f90 function=smooth line=22 device=0 grid=7x7 block=16x16  
launch kernel file=/ssd/cuda/cudaf/pgi/pgi\_test\_3.f90 function=smooth line=14 device=0 grid=7x7 block=16x16  
launch kernel file=/ssd/cuda/cudaf/pgi/pgi\_test\_3.f90 function=smooth line=22 device=0 grid=7x7 block=16x16  
call to cuMemcpy2D returned error 1: Invalid value  
CUDA driver version: 3020

Accelerator Kernel Timing data  
/ssd/cuda/cudaf/pgi/pgi\_test\_3.f90  
smooth  
10: region entered 1 time  
time(us): init=3386573  
data=26  
14: kernel launched 5 times  
grid: [7x7] block: [16x16]  
time(us): total=217 max=141 min=19 avg=43  
22: kernel launched 5 times  
grid: [7x7] block: [16x16]  
time(us): total=68 max=15 min=13 avg=13  
[waku@ensis10 pgi]$  
  
  
Sincerely,  
waku2005

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**Author:** ![MatColgrove](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/matcolgrove/32/14047_2.png) [@MatColgrove](https://forums.developer.nvidia.com/u/MatColgrove)\
**Post date:** [February 16, 2011, 9:15pm UTC](https://forums.developer.nvidia.com/t/starting-accel-fortran/132251/2 "2011-02-16T21:15:00Z")

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Hi waku2005,

Sorry about this, it appears that we missed this problem. It’s new in 11.2 and only occurs on 64-bit systems running the latest CUDA drivers. The error is being caused by new supported we added for large memory (\> 4GB) Fermi cards.

We have a fix being tested now and will release version 11.2-1 here in a few days.

Thanks,  
Mat

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**Author:** ![waku2005](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@waku2005](https://forums.developer.nvidia.com/u/waku2005)\
**Post date:** [February 17, 2011, 7:52am UTC](https://forums.developer.nvidia.com/t/starting-accel-fortran/132251/3 "2011-02-17T07:52:39Z")

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Dear Mat,

Thank you for your reply and I’ll wait the update. :-)

waku2005