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Description
Hi,
I downloaded DawnCC benchmarks zip file and compiled auto_acc directory files with PGI compiler (release 16.10-0) on Ubuntu 14.04.
This is the pgcc output during the compilation of 2DConvolution.c file.
rokiatou@rokiatou:~/Documents/Thèse/dawncc_doc/benchmarks/polybench/auto_acc/2DCONV$ pgcc 2DConvolution.c -g -mp -Minform=warn -fast -O3 -acc -Minfo -time -ta=nvidia,cuda7.5,cc35,fastmath,fma,keepgpu,keepptx,lineinfo,unroll,loadcache:L1 -o test
conv2D:
46, Loop not vectorized: data dependency
Loop unrolled 2 times
GPU__conv2D:
67, Generating copyin(A[:67108864])
Generating copyout(B[8193:67092478])
68, Generating implicit copyin(A[:67108864])
Generating implicit copyout(B[8193:67092478])
70, Loop is parallelizable
Loop not fused: no successor loop
72, Complex loop carried dependence of A->,B-> prevents parallelization
Inner sequential loop scheduled on accelerator
Accelerator kernel generated
Generating Tesla code
70, #pragma acc loop gang, vector(128) /* blockIdx.x threadIdx.x */
72, #pragma acc loop seq
72, Complex loop carried dependence of B-> prevents parallelization
Loop not vectorized: data dependency
Loop unrolled 2 times
init:
87, Loop not vectorized/parallelized: contains call
compareResults:
102, Loop not vectorized/parallelized: contains call
Timing stats:
init 66 millisecs 44%
parser 17 millisecs 11%
vectorize 50 millisecs 33%
schedule 17 millisecs 11%
Total time 150 millisecs
But when I tried to run my object file test, I got the following error message:
Two dimensional (2D) convolution <<
Failing in Thread:1
call to cuModuleLoadData returned error 209: No binary for GPU
I got the same message for all others. I don't understand why this happen while when I annotate manually my code and compile it with pgcc, I don't get any runtime error.
Thank.