multiGPU on same node - issue with the async call

Hello all,

I am trying to distribute a simulaton across GPUs in a single node/machine. I cannot get it to work as I keep getting a runtime error when i use the async call. I have replicated the code in a simple vector manipulation example across two GPU’s - see below. The output including the error I get is below:

init() - acc devices H[0]:0 NV[3]:0 active=4:0
pV[0]:0x3966970
pV[1]:0x3d66980
pV[2]:0x4166990
pV[3]:0x45669a0
proc()
dt: 0.035882
dt: 0.035882 0.308698

Accelerator Kernel Timing data
/home/xavierportell/mdev.c
proc NVIDIA devicenum=1
time(us): 765
92: data region reached 1 time
92: data copyin transfers: 3
device time(us): total=765 max=390 min=10 avg=255
/home/xavierportell/mdev.c
proc NVIDIA devicenum=0
time(us): 2,288
80: data region reached 2 times
80: data copyin transfers: 2
device time(us): total=32 max=20 min=12 avg=16
88: data copyout transfers: 2
device time(us): total=1,167 max=660 min=507 avg=583
82: compute region reached 1 time
82: kernel launched 1 time
grid: [1] block: [128]
elapsed time(us): total=3,196 max=3,196 min=3,196 avg=3,196
101: data region reached 1 time
101: data copyin transfers: 3
device time(us): total=1,089 max=543 min=8 avg=363
103: data region reached 1 time
103: compute region reached 1 time
103: kernel launched 1 time
grid: [1] block: [128]
device time(us): total=0 max=0 min=0 avg=0
call to cuMemFreeHost returned error 700: Illegal address during kernel execution

mdev.make:30: recipe for target ‘run’ failed
make: *** [run] Error 1




The main piece of code that generates the above error is below - any tips/pointer/suggestions would be most helpfula as I am out of ideas :-(


void proc (Scalar * restrict pV0, Scalar * restrict pV1, Scalar * restrict pV2, Scalar * restrict pV3, size_t n)
{
SMVal dt[8]={-1,};

printf(“proc()\n”);
#pragma acc set device_num(0) device_type(acc_device_nvidia)
dt[0]= deltaT();

const Scalar lm1[2]={0.5n,-0.5}, lm2[2]={-0.5n,0.5}, k[2]= {0.25, 0.25};
#pragma acc data create( pV1[:n], pV2[:n] ) copyin( lm1[:2], lm2[:2] ) copyout( pV1[:n], pV2[:n] )
{
#pragma acc parallel
{
vSetLin(pV1, n, lm1);
vSetLin(pV2, n, lm2);
}
}
dt[0]= deltaT();
printf("\tdt: %G\n", dt[0]);

#pragma acc set device_num(1) device_type(acc_device_nvidia)
#pragma acc enter data create( pV0[:n] ) copyin( pV1[:n], pV2[:n], k[:2] )

//#pragma acc parallel async
vLinComb(pV0, pV1, pV2, n, k);

dt[1]= deltaT();
printf("\tdt: %G %G\n", dt[0], dt[1]);

#pragma acc set device_num(0) device_type(acc_device_nvidia)
#pragma acc enter data create( pV3[:n] ) copyin( pV1[:n], pV2[:n], k[:2] )

#pragma acc parallel async
vLinComb(pV3, pV1, pV2, n, k);

dt[2]= deltaT();
printf("\tdt: %G %G %G\n", dt[0], dt[1], dt[2]);


#pragma acc set device_num(1) device_type(acc_device_nvidia)
#pragma acc wait
dt[3]= deltaT();
printf("\tdt: %G %G %G %G\n", dt[0], dt[1], dt[2], dt[3]);
#pragma acc update self( pV0[:n] ) async // data copyout( pV0[:n] )

#pragma acc set device_num(0) device_type(acc_device_nvidia)
#pragma acc wait
dt[4]= deltaT();
printf("\tdt: %G %G %G %G %G\n", dt[0], dt[1], dt[2], dt[3], dt[4]);
#pragma acc update self( pV3[:n] ) async // data copyout( pV3[:n] )

#pragma acc wait_all

dt[5]= deltaT();
printf("\tdt: %G %G %G %G %G %G\n", dt[0], dt[1], dt[2], dt[3], dt[4], dt[5]);
{
Scalar s[4]= {0,0,0,0};
for (size_t i= 0; i < n; ++i ) { s[0]+= pV0_; s[1]+= pV1; s[2]+= pV2; s[3]+= pV3; }
printf("\ts: %G %G %G %G\n", s[0], s[1], s[2], s[3]);
}

#pragma acc set device_num(1) device_type(acc_device_nvidia)
#pragma acc exit data delete( pV0[:n], pV1[:n], pV2[:n], k[:2] )

#pragma acc set device_num(0) device_type(acc_device_nvidia)
#pragma acc exit data delete( pV3[:n], pV1[:n], pV2[:n], k[:2] )
} // proc_

Hi Ruth,

Without a full reproducer it’s difficult for me to tell exactly what’s wrong here. But one thing that might help is for you to run the program with the environment variable “PGI_ACC_DEBUG=1” enabled. This will output all OpenACC calls and give us a better idea as to which variable is cause illegal memory address when being freed.


Though, I do question why you’re trying to split computation across 2 GPUs this way? From the PGI_ACC_TIME output, the code is barely using even one of the GPU so I’m thinking that it would be better to just use one GPU with two async queues so that the two calls to “vLinCombo” are run concurrently.

Granted, this may just be a very small case so you may actually utilize the full GPU in the actual case, but still fixing the program to use 2 GPUs seems bad for portability. I generally recommend using MPI+OpenACC for multi-GPU programming since it more straight forward to work with and portable.

-Mat

OK Matt - thanks for the tip. The example I am looking at does way more compute so it makes sense to spatially partition across GPU’s - the example I posted is a overly simplified version I created to try and understand what is causing the run time error. I was going to look into MPI+OpenACC for multi-GPU programming next but I thought doing it as below would be straightforward :-)

I am keen to know what is causing the issue as I have spent a bit of time on it. I have used the PGI_ACC_DEBUG=1. It spews out a lot of Debug info – can you detect an obvious issue from the below?

proc()
pgi_uacc_set_device_num(devnum=0,devtype=4,threadid=1)
pgi_uacc_set_device_num(devnum=0,devtype=4,threadid=1) cuda devid=1 dindex=1
pgi_uacc_set_device_num(devnum=0,devtype=4,threadid=1)
pgi_uacc_set_device_num(devnum=0,devtype=4,threadid=1) cuda devid=1 dindex=1
pgi_uacc_dataenterstart( file=/home/xavierportell/mdev.c, function=proc, line=72:137, line=80, devid=0 )
pgi_uacc_dataon(hostptr=0x7ffd85695550,stride=1,size=2,eltsize=4,lineno=80,name=lm1,flags=0x700=present+create+copyin,async=-1,threadid=1)
pgi_uacc_alloc(size=8,devid=1,threadid=1)
allocate device memory 0x7ffa26400000(512B)
pgi_uacc_alloc(size=8,devid=1,threadid=1) returns 0x7ffa26400000
map dev:0x7ffa26400000 host:0x7ffd85695550 dindex:1 size:8 offset:0 (line:80 name:lm1) thread:1
alloc done with devptr at 0x7ffa26400000
pgi_uacc_dataupx(devptr=0x7ffa26400000,hostptr=0x7ffd85695550,stride=1,size=2,eltsize=4,lineno=80,name=lm1,async=-1,threadid=1)
pgi_uacc_cuda_dataup1(devdst=0x7ffa26400000,hostsrc=0x7ffd85695550,offset=0,stride=1,size=2,eltsize=4,lineno=80,name=lm1,thread=1)
pgi_uacc_dataon(hostptr=0x7ffd85695558,stride=1,size=2,eltsize=4,lineno=80,name=lm2,flags=0x700=present+create+copyin,async=-1,threadid=1)
pgi_uacc_alloc(size=8,devid=1,threadid=1)
allocate device memory 0x7ffa26400200(512B)
pgi_uacc_alloc(size=8,devid=1,threadid=1) returns 0x7ffa26400200
map dev:0x7ffa26400200 host:0x7ffd85695558 dindex:1 size:8 offset:0 (line:80 name:lm2) thread:1
alloc done with devptr at 0x7ffa26400200
pgi_uacc_dataupx(devptr=0x7ffa26400200,hostptr=0x7ffd85695558,stride=1,size=2,eltsize=4,lineno=80,name=lm2,async=-1,threadid=1)
pgi_uacc_cuda_dataup1(devdst=0x7ffa26400200,hostsrc=0x7ffd85695558,offset=0,stride=1,size=2,eltsize=4,lineno=80,name=lm2,thread=1)
pgi_uacc_dataon(hostptr=0x397d760,stride=1,size=1048576,extent=-1,eltsize=4,lineno=80,name=pV1,flags=0xb00=present+create+copyout,async=-1,threadid=1)
pgi_uacc_alloc(size=4194304,devid=1,threadid=1)
allocate device memory 0x7ffa26000000(4194304B)
pgi_uacc_alloc(size=4194304,devid=1,threadid=1) returns 0x7ffa26000000
map dev:0x7ffa26000000 host:0x397d760 dindex:1 size:4194304 offset:0 (line:80 name:pV1) thread:1
alloc done with devptr at 0x7ffa26000000
pgi_uacc_dataon(hostptr=0x3d7d770,stride=1,size=1048576,extent=-1,eltsize=4,lineno=80,name=pV2,flags=0xb00=present+create+copyout,async=-1,threadid=1)
pgi_uacc_alloc(size=4194304,devid=1,threadid=1)
allocate device memory 0x7ffa25c00000(4194304B)
pgi_uacc_alloc(size=4194304,devid=1,threadid=1) returns 0x7ffa25c00000
map dev:0x7ffa25c00000 host:0x3d7d770 dindex:1 size:4194304 offset:0 (line:80 name:pV2) thread:1
alloc done with devptr at 0x7ffa25c00000
pgi_uacc_dataon(hostptr=0x397d760,stride=1,size=1048576,extent=-1,eltsize=4,lineno=80,name=pV1,flags=0xb00=present+create+copyout,async=-1,threadid=1)
pgi_uacc_dataon(hostptr=0x3d7d770,stride=1,size=1048576,extent=-1,eltsize=4,lineno=80,name=pV2,flags=0xb00=present+create+copyout,async=-1,threadid=1)
pgi_uacc_dataenterdone( devid=1 )
pgi_uacc_cuda_wait(lineno=-99,async=-1,dindex=1)
pgi_uacc_cuda_wait(sync on stream=0x117dd70)
pgi_uacc_cuda_wait done
pgi_uacc_enter( devid=0 )
Thread 1 loading module onto device 0
pgi_uacc_enter(objinfo=0x6098a0)
0x11235813 = magic
1 = numplatforms
Platform 0 = 0x609860
17 = id NVIDIA CUDA 0x00000005 = flags global objptr
3 = numversions
Version 0 = 0x609740
0x33550336 = magic
0x00430104 = flags sm30 sm35 0x03c30104 = pflags sm30 sm35 sm50 sm60 sm70
2 = numfunctions
1 = numbinaries
Function 0 = 0x609580 Function 0 = 0x609580 = proc_82_gpu
82 = lineno
128x1x1 = block size
1x1x1 = grid size
0x0 = config_flag =
1x1x1 = unroll
0 = shared memory
0 = reduction shared memory
0 = reduction arg
0 = reduction bytes
48 = argument bytes
0 = max argument bytes
0 = size arguments
Function 1 = 0x609660 Function 1 = 0x609660 = proc_103_gpu
103 = lineno
128x1x1 = block size
1x1x1 = grid size
0x0 = config_flag =
1x1x1 = unroll
0 = shared memory
0 = reduction shared memory
0 = reduction arg
0 = reduction bytes
40 = argument bytes
0 = max argument bytes
0 = size arguments
Binary 0 = 0x609520
0x00000bbd = binaryid
11424 = binarylen
(nil) = binary
Version 1 = 0x6097a0
0x33550336 = magic
0x00810104 = flags sm50 0x03810104 = pflags sm50 sm60 sm70
2 = numfunctions
1 = numbinaries
Function 0 = 0x609580 Function 0 = 0x609580 = proc_82_gpu
82 = lineno
128x1x1 = block size
1x1x1 = grid size
0x0 = config_flag =
1x1x1 = unroll
0 = shared memory
0 = reduction shared memory
0 = reduction arg
0 = reduction bytes
48 = argument bytes
0 = max argument bytes
0 = size arguments
Function 1 = 0x609660 Function 1 = 0x609660 = proc_103_gpu
103 = lineno
128x1x1 = block size
1x1x1 = grid size
0x0 = config_flag =
1x1x1 = unroll
0 = shared memory
0 = reduction shared memory
0 = reduction arg
0 = reduction bytes
40 = argument bytes
0 = max argument bytes
0 = size arguments
Binary 0 = 0x609540
0x00001388 = binaryid
11424 = binarylen
(nil) = binary
Version 2 = 0x609800
0x33550336 = magic
0x01010104 = flags sm60 0x03010104 = pflags sm60 sm70
2 = numfunctions
1 = numbinaries
Function 0 = 0x609580 Function 0 = 0x609580 = proc_82_gpu
82 = lineno
128x1x1 = block size
1x1x1 = grid size
0x0 = config_flag =
1x1x1 = unroll
0 = shared memory
0 = reduction shared memory
0 = reduction arg
0 = reduction bytes
48 = argument bytes
0 = max argument bytes
0 = size arguments
Function 1 = 0x609660 Function 1 = 0x609660 = proc_103_gpu
103 = lineno
128x1x1 = block size
1x1x1 = grid size
0x0 = config_flag =
1x1x1 = unroll
0 = shared memory
0 = reduction shared memory
0 = reduction arg
0 = reduction bytes
40 = argument bytes
0 = max argument bytes
0 = size arguments
Binary 0 = 0x609560
0x00001770 = binaryid
11424 = binarylen
(nil) = binary
pgi_uacc_computestart( file=/home/xavierportell/mdev.c, function=proc, line=72:137, line=82, devid=0, computeconstruct=9999 )
pgi_uacc_launch funcnum=0 argptr=0x7ffd85695720 sizeargs=(nil) async=-1 devid=1
Arguments to function 0 proc_82_gpu dindex=1 threadid=1 device=0:
1048576 0 1048576 0 637534208 32762 641728512 32762
633339904 32762 641729024 32762 0 0 0 0
0x00100000 0x00000000 0x00100000 0x00000000 0x26000000 0x00007ffa 0x26400000 0x00007ffa
0x25c00000 0x00007ffa 0x26400200 0x00007ffa 0x00000000 0x00000000 0x00000000 0x00000000
Launch configuration for function=0=proc_82_gpu line=82 dindex=1 threadid=1 device=0 <<<(1,1,1),(128,1,1),0>>> async=-1
pgi_uacc_computedone( devid=0, computeconstruct=9999 )
pgi_uacc_cuda_wait(lineno=-99,async=-1,dindex=1)
pgi_uacc_cuda_wait(sync on stream=0x117dd70)
pgi_uacc_cuda_wait done
pgi_uacc_dataexitstart( file=/home/xavierportell/mdev.c, function=proc, line=72:137, line=80, devid=0 )
pgi_uacc_dataoff(devptr=0x7ffa26400000,hostptr=0x7ffd85695550,stride=1,size=2,eltsize=4,lineno=88,name=lm1,flags=0x700=present+create+copyin,async=-1,threadid=1)
pgi_uacc_free(ptr=0x7ffa26400000,devid=1,threadid=1)
pgi_uacc_dataoff(devptr=0x7ffa26400200,hostptr=0x7ffd85695558,stride=1,size=2,eltsize=4,lineno=88,name=lm2,flags=0x700=present+create+copyin,async=-1,threadid=1)
pgi_uacc_free(ptr=0x7ffa26400200,devid=1,threadid=1)
pgi_uacc_dataoff(devptr=0x7ffa26000000,hostptr=0x397d760,stride=1,size=1048576,extent=-1,eltsize=4,lineno=88,name=pV1,flags=0xb00=present+create+copyout,async=-1,threadid=1)
pgi_uacc_dataoff(devptr=0x7ffa25c00000,hostptr=0x3d7d770,stride=1,size=1048576,extent=-1,eltsize=4,lineno=88,name=pV2,flags=0xb00=present+create+copyout,async=-1,threadid=1)
pgi_uacc_dataoff(devptr=0x7ffa26000000,hostptr=0x397d760,stride=1,size=1048576,extent=-1,eltsize=4,lineno=88,name=pV1,flags=0xb00=present+create+copyout,async=-1,threadid=1)
pgi_uacc_datadownx(devptr=0x7ffa26000000,hostptr=0x397d760,stride=1,size=1048576,extent=-1,eltsize=4,lineno=88,name=pV1,async=-1,threadid=1)
pgi_uacc_cuda_datadown1(devdst=0x7ffa26000000,hostsrc=0x397d760,offset=0,stride=1,size=1048576,eltsize=4,lineno=88,name=pV1,async=-1,dindex=1)
pgi_uacc_free(ptr=0x7ffa26000000,devid=1,threadid=1)
pgi_uacc_dataoff(devptr=0x7ffa25c00000,hostptr=0x3d7d770,stride=1,size=1048576,extent=-1,eltsize=4,lineno=88,name=pV2,flags=0xb00=present+create+copyout,async=-1,threadid=1)
pgi_uacc_datadownx(devptr=0x7ffa25c00000,hostptr=0x3d7d770,stride=1,size=1048576,extent=-1,eltsize=4,lineno=88,name=pV2,async=-1,threadid=1)
pgi_uacc_cuda_datadown1(devdst=0x7ffa25c00000,hostsrc=0x3d7d770,offset=0,stride=1,size=1048576,eltsize=4,lineno=88,name=pV2,async=-1,dindex=1)
pgi_uacc_free(ptr=0x7ffa25c00000,devid=1,threadid=1)
pgi_uacc_dataexitdone( devid=1 )
pgi_uacc_cuda_wait(lineno=-99,async=-1,dindex=1)
pgi_uacc_cuda_wait(sync on stream=0x117dd70)
pgi_uacc_cuda_wait done
dt: 0.044673
pgi_uacc_set_device_num(devnum=0,devtype=4,threadid=1)
pgi_uacc_set_device_num(devnum=0,devtype=4,threadid=1) cuda devid=1 dindex=1
pgi_uacc_set_device_num(devnum=1,devtype=4,threadid=1)
cuda_init_device thread:1 data.default_device_num:1 pdata.cuda.default_device_num:1
cuda_init_device(threadid=1, device 1) dindex=2, api_context=(nil)
cuda_init_device(threadid=1, device 1) dindex=2, setting api_context=(nil)
cuda_init_device(threadid=1, device 1) dindex=2, new api_context=0xd060c0
argument memory for queue 16 device:0x7ffa0d000000 host:0x7ffa0ce00000
pgi_uacc_set_device_num(devnum=1,devtype=4,threadid=1) cuda devid=2 dindex=2
pgi_uacc_dataenterstart( file=/home/xavierportell/mdev.c, function=proc, line=72:137, line=92, devid=0 )
pgi_uacc_dataon(hostptr=0x357d750,stride=1,size=1048576,extent=-1,eltsize=4,lineno=92,name=pV0,flags=0x20300=present+create+dynamic,async=-1,threadid=1)
pgi_uacc_alloc(size=4194304,devid=2,threadid=1)
allocate device memory 0x7ffa0ca00000(4194304B)
pgi_uacc_alloc(size=4194304,devid=2,threadid=1) returns 0x7ffa0ca00000
map dev:0x7ffa0ca00000 host:0x357d750 dindex:2 size:4194304 offset:0 (line:92 name:pV0) thread:1
alloc done with devptr at 0x7ffa0ca00000
pgi_uacc_dataon(hostptr=0x397d760,stride=1,size=1048576,extent=-1,eltsize=4,lineno=92,name=pV1,flags=0x20700=present+create+copyin+dynamic,async=-1,threadid=1)
pgi_uacc_alloc(size=4194304,devid=2,threadid=1)
allocate device memory 0x7ffa0c600000(4194304B)
pgi_uacc_alloc(size=4194304,devid=2,threadid=1) returns 0x7ffa0c600000
map dev:0x7ffa0c600000 host:0x397d760 dindex:2 size:4194304 offset:0 (line:92 name:pV1) thread:1
alloc done with devptr at 0x7ffa0c600000
pgi_uacc_dataupx(devptr=0x7ffa0c600000,hostptr=0x397d760,stride=1,size=1048576,extent=-1,eltsize=4,lineno=92,name=pV1,async=-1,threadid=1)
pgi_uacc_cuda_dataup1(devdst=0x7ffa0c600000,hostsrc=0x397d760,offset=0,stride=1,size=1048576,eltsize=4,lineno=92,name=pV1,thread=1)
pgi_uacc_dataon(hostptr=0x3d7d770,stride=1,size=1048576,extent=-1,eltsize=4,lineno=92,name=pV2,flags=0x20700=present+create+copyin+dynamic,async=-1,threadid=1)
pgi_uacc_alloc(size=4194304,devid=2,threadid=1)
allocate device memory 0x7ffa08200000(4194304B)
pgi_uacc_alloc(size=4194304,devid=2,threadid=1) returns 0x7ffa08200000
map dev:0x7ffa08200000 host:0x3d7d770 dindex:2 size:4194304 offset:0 (line:92 name:pV2) thread:1
alloc done with devptr at 0x7ffa08200000
pgi_uacc_dataupx(devptr=0x7ffa08200000,hostptr=0x3d7d770,stride=1,size=1048576,extent=-1,eltsize=4,lineno=92,name=pV2,async=-1,threadid=1)
pgi_uacc_cuda_dataup1(devdst=0x7ffa08200000,hostsrc=0x3d7d770,offset=0,stride=1,size=1048576,eltsize=4,lineno=92,name=pV2,thread=1)
pgi_uacc_dataon(hostptr=0x7ffd856955a0,stride=1,size=2,eltsize=4,lineno=92,name=k,flags=0x20700=present+create+copyin+dynamic,async=-1,threadid=1)
pgi_uacc_alloc(size=8,devid=2,threadid=1)
allocate device memory 0x7ffa08000000(512B)
pgi_uacc_alloc(size=8,devid=2,threadid=1) returns 0x7ffa08000000
map dev:0x7ffa08000000 host:0x7ffd856955a0 dindex:2 size:8 offset:0 (line:92 name:k) thread:1
alloc done with devptr at 0x7ffa08000000
pgi_uacc_dataupx(devptr=0x7ffa08000000,hostptr=0x7ffd856955a0,stride=1,size=2,eltsize=4,lineno=92,name=k,async=-1,threadid=1)
pgi_uacc_cuda_dataup1(devdst=0x7ffa08000000,hostsrc=0x7ffd856955a0,offset=0,stride=1,size=2,eltsize=4,lineno=92,name=k,thread=1)
pgi_uacc_dataenterdone( devid=2 )
pgi_uacc_cuda_wait(lineno=-99,async=-1,dindex=2)
pgi_uacc_cuda_wait(sync on stream=0x70f3650)
pgi_uacc_cuda_wait done
dt: 0.044673 0.28501
pgi_uacc_set_device_num(devnum=0,devtype=4,threadid=1)
pgi_uacc_set_device_num(devnum=0,devtype=4,threadid=1) cuda devid=1 dindex=1
pgi_uacc_set_device_num(devnum=0,devtype=4,threadid=1)
pgi_uacc_set_device_num(devnum=0,devtype=4,threadid=1) cuda devid=1 dindex=1
pgi_uacc_dataenterstart( file=/home/xavierportell/mdev.c, function=proc, line=72:137, line=101, devid=0 )
pgi_uacc_dataon(hostptr=0x417d780,stride=1,size=1048576,extent=-1,eltsize=4,lineno=101,name=pV3,flags=0x20300=present+create+dynamic,async=-1,threadid=1)
pgi_uacc_alloc(size=4194304,devid=1,threadid=1)
recycle device memory 0x7ffa26000000(4194304B)
pgi_uacc_alloc(size=4194304,devid=1,threadid=1) returns 0x7ffa26000000
map dev:0x7ffa26000000 host:0x417d780 dindex:1 size:4194304 offset:0 (line:101 name:pV3) thread:1
alloc done with devptr at 0x7ffa26000000
pgi_uacc_dataon(hostptr=0x397d760,stride=1,size=1048576,extent=-1,eltsize=4,lineno=101,name=pV1,flags=0x20700=present+create+copyin+dynamic,async=-1,threadid=1)
pgi_uacc_alloc(size=4194304,devid=1,threadid=1)
recycle device memory 0x7ffa25c00000(4194304B)
pgi_uacc_alloc(size=4194304,devid=1,threadid=1) returns 0x7ffa25c00000
map dev:0x7ffa25c00000 host:0x397d760 dindex:1 size:4194304 offset:0 (line:101 name:pV1) thread:1
alloc done with devptr at 0x7ffa25c00000
pgi_uacc_dataupx(devptr=0x7ffa25c00000,hostptr=0x397d760,stride=1,size=1048576,extent=-1,eltsize=4,lineno=101,name=pV1,async=-1,threadid=1)
pgi_uacc_cuda_dataup1(devdst=0x7ffa25c00000,hostsrc=0x397d760,offset=0,stride=1,size=1048576,eltsize=4,lineno=101,name=pV1,thread=1)
pgi_uacc_dataon(hostptr=0x3d7d770,stride=1,size=1048576,extent=-1,eltsize=4,lineno=101,name=pV2,flags=0x20700=present+create+copyin+dynamic,async=-1,threadid=1)
pgi_uacc_alloc(size=4194304,devid=1,threadid=1)
allocate device memory 0x7ffa07c00000(4194304B)
pgi_uacc_alloc(size=4194304,devid=1,threadid=1) returns 0x7ffa07c00000
map dev:0x7ffa07c00000 host:0x3d7d770 dindex:1 size:4194304 offset:0 (line:101 name:pV2) thread:1
alloc done with devptr at 0x7ffa07c00000
pgi_uacc_dataupx(devptr=0x7ffa07c00000,hostptr=0x3d7d770,stride=1,size=1048576,extent=-1,eltsize=4,lineno=101,name=pV2,async=-1,threadid=1)
pgi_uacc_cuda_dataup1(devdst=0x7ffa07c00000,hostsrc=0x3d7d770,offset=0,stride=1,size=1048576,eltsize=4,lineno=101,name=pV2,thread=1)
pgi_uacc_dataon(hostptr=0x7ffd856955a0,stride=1,size=2,eltsize=4,lineno=101,name=k,flags=0x20700=present+create+copyin+dynamic,async=-1,threadid=1)
pgi_uacc_alloc(size=8,devid=1,threadid=1)
recycle device memory 0x7ffa26400000(512B)
pgi_uacc_alloc(size=8,devid=1,threadid=1) returns 0x7ffa26400000
map dev:0x7ffa26400000 host:0x7ffd856955a0 dindex:1 size:8 offset:0 (line:101 name:k) thread:1
alloc done with devptr at 0x7ffa26400000
pgi_uacc_dataupx(devptr=0x7ffa26400000,hostptr=0x7ffd856955a0,stride=1,size=2,eltsize=4,lineno=101,name=k,async=-1,threadid=1)
pgi_uacc_cuda_dataup1(devdst=0x7ffa26400000,hostsrc=0x7ffd856955a0,offset=0,stride=1,size=2,eltsize=4,lineno=101,name=k,thread=1)
pgi_uacc_dataenterdone( devid=1 )
pgi_uacc_cuda_wait(lineno=-99,async=-1,dindex=1)
pgi_uacc_cuda_wait(sync on stream=0x117dd70)
pgi_uacc_cuda_wait done
pgi_uacc_enter( devid=0 )
pgi_uacc_dataenterstart( file=/home/xavierportell/mdev.c, function=proc, line=72:137, line=103, devid=0 )
pgi_uacc_dataon(hostptr=0x7ffd856955a0,stride=1,size=2,eltsize=4,lineno=103,name=k,flags=0xf00=present+create+copyin+copyout,async=-4,threadid=1)
pgi_uacc_dataenterdone( devid=1 )
pgi_uacc_computestart( file=/home/xavierportell/mdev.c, function=proc, line=72:137, line=103, devid=0, computeconstruct=9999 )
pgi_uacc_launch funcnum=1 argptr=0x7ffd85695720 sizeargs=(nil) async=-4 devid=1
argument memory for queue 0 device:0x7ffa268fa000 host:0x7ffa266fa000
Arguments to function 1 proc_103_gpu dindex=1 threadid=1 device=0:
1048576 0 641728512 32762 68671360 0 60282720 0
64477040 0 0 0 0 0 0 0
0x00100000 0x00000000 0x26400000 0x00007ffa 0x0417d780 0x00000000 0x0397d760 0x00000000
0x03d7d770 0x00000000 0x00000000 0x00000000 0x00000000 0x00000000 0x00000000 0x00000000
Launch configuration for function=1=proc_103_gpu line=103 dindex=1 threadid=1 device=0 <<<(1,1,1),(128,1,1),0>>> async=-4

Accelerator Kernel Timing data
/home/xavierportell/mdev.c
proc NVIDIA devicenum=1
time(us): 752
92: data region reached 1 time
92: data copyin transfers: 3
device time(us): total=752 max=377 min=11 avg=250
/home/xavierportell/mdev.c
proc NVIDIA devicenum=0
time(us): 1,472
80: data region reached 2 times
80: data copyin transfers: 2
device time(us): total=32 max=22 min=10 avg=16
88: data copyout transfers: 2
device time(us): total=683 max=344 min=339 avg=341
82: compute region reached 1 time
82: kernel launched 1 time
grid: [1] block: [128]
elapsed time(us): total=3,219 max=3,219 min=3,219 avg=3,219
101: data region reached 1 time
101: data copyin transfers: 3
device time(us): total=757 max=377 min=8 avg=252
103: data region reached 1 time
103: compute region reached 1 time
103: kernel launched 1 time
grid: [1] block: [128]
device time(us): total=0 max=0 min=0 avg=0
call to cuMemFreeHost returned error 700: Illegal address during kernel execution

That’s interesting. The error isn’t occurring during execution of the program but upon exit. It thought the profiling info was just getting mixed in, but it does appear that the error occurs after the profiler has dumped the output.

Does the error go away if you don’t use the profiler? (i.e. don’t set PGI_ACC_TIME and/or remove the “time” sub-option from “-ta=tesla:time”. It probably wont matter, but worth a try.


My best guess is the compiler is trying to free some already freed device data as part of the clean-up at the end. Can you please send a reproducing example to PGI Customer Service (support@pgroup.com) so we can see what’s wrong?

Thanks,
Mat

Thanks Mat. I have sent a reproducing example to the email. Please confirm that this has been received. Kind regards, Ruth

Thanks Ruth. Customer support forward me the code and I’ll try to take a look later today.

Here’s my fortran code in total. It’s a silly example calculating primes twice. However, why does this not work in parallel? It calculates and populates A on GPU 0 then populates B in GPU 1. I would like the loops to work in parallel across GPU 0 and GPU 1.

PROGRAM SIEVE
IMPLICIT NONE
INTEGER,PARAMETER :: N = 1888888888
INTEGER MAX, X, I, J, A(2:N), B(2:N), COUNT
COUNT = 0
A(2:N) = 1
B(2:N) = 1
MAX = INT(SQRT(FLOAT(N)))+1
DO X = 1, 2
  IF (X == 1) THEN
    !$acc set device_num(0)
    !$acc parallel loop async(0)
    DO I = 2,MAX
      IF (A(I) == 1) THEN
        DO J = I**2, N, I
        A(J) = 0
        ENDDO
      ENDIF
    ENDDO
  ELSE IF (X == 2) THEN
    !$acc set device_num(1)
    !$acc parallel loop async(1)
    DO I = 2,MAX
      IF (B(I) == 1) THEN
        DO J = I**2, N, I
        B(J) = 0
        ENDDO
      ENDIF
    ENDDO
  ENDIF
ENDDO
DO I = 2,N
  IF (A(I) == 1) THEN
  COUNT = COUNT + 1
  ENDIF
ENDDO
WRITE(*,*)
WRITE(*,*) "TOTAL NUMBER OF PRIME NUMBERS WITHIN",N,"IS",COUNT
WRITE(*,*)
END PROGRAM

Hi carlkyu,

When using a parallel loop with async and an implicit copy, the copy back from the device is delayed until then next synchronization point between the device and the host. However when this point is reached, the code is using a different device than the one “A” was computed on. Hence it’s not going to get updated. The solution is to set the code back to device 0 and then add an explicit wait so the data is correctly copied back.

Note that using queue id’s isn’t necessary since these are on different device but does cause some overhead due the creation of the CUDA stream. Also, I’d suggest adding explicit data directives to give better control over when the data is copied. For example:

% cat test.F90
PROGRAM SIEVE
IMPLICIT NONE
INTEGER,PARAMETER :: N = 1888888888
INTEGER MAX, X, I, J, A(2:N), B(2:N), COUNT
COUNT = 0
A(2:N) = 1
B(2:N) = 1
MAX = INT(SQRT(FLOAT(N)))+1
DO X = 1, 2
  IF (X == 1) THEN
    !$acc set device_num(0)
    !$acc enter data copyin(A) async
    !$acc parallel loop async
    DO I = 2,MAX
      IF (A(I) == 1) THEN
        DO J = I**2, N, I
        A(J) = 0
        ENDDO
      ENDIF
    ENDDO
  ELSE IF (X == 2) THEN
    !$acc set device_num(1)
    !$acc enter data copyin(B) async
    !$acc parallel loop async
    DO I = 2,MAX
      IF (B(I) == 1) THEN
        DO J = I**2, N, I
        B(J) = 0
        ENDDO
      ENDIF
    ENDDO
  ENDIF
ENDDO
!$acc wait
!$acc set device_num(1)
!$acc exit data copyout(B)
!$acc set device_num(0)
!$acc exit data copyout(A)
DO I = 2,N
  IF (A(I) == 1) THEN
  COUNT = COUNT + 1
  ENDIF
ENDDO
WRITE(*,*)
WRITE(*,*) "TOTAL NUMBER OF PRIME NUMBERS WITHIN",N,"IS",COUNT
WRITE(*,*)
END PROGRAM

% nvfortran test.F90 -fast -acc -Minfo=accel -o test ; ./test
sieve:
     12, Generating enter data copyin(a(:))
     13, Generating NVIDIA GPU code
         14, !$acc loop gang ! blockidx%x
         16, !$acc loop vector(128) ! threadidx%x
     13, Generating implicit copy(a(:)) [if not already present]
     16, Loop is parallelizable
     23, Generating enter data copyin(b(:))
     24, Generating NVIDIA GPU code
         25, !$acc loop gang ! blockidx%x
         27, !$acc loop vector(128) ! threadidx%x
     24, Generating implicit copy(b(:)) [if not already present]
     27, Loop is parallelizable
     36, Generating exit data copyout(b(:))
     38, Generating exit data copyout(a(:))

 TOTAL NUMBER OF PRIME NUMBERS WITHIN   1888888888 IS     93027503

Hope this helps,
Mat

This helps a lot. Thank you!