Windows GPU errors RTX 3080

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Icecold Send message Joined: 19 Jul 20 Posts: 6 Credit: 649,723,375 RAC: 1	Message 6880 - Posted: 31 Oct 2020, 14:29:36 UTC
I just got an RTX 3080. I'm running Windows 10 and I installed the 10.1 CUDA Toolkit. SRBase errors after 3 seconds of running. These are the tasks - http://srbase.my-firewall.org/sr5/results.php?hostid=210547 The error seems to be ERROR: cudaGetLastError() returned 48: no kernel image is available for execution on the device. I've never ran SRBase on this machine before(and normally run Linux), but Primegrid PPS Sieve which uses CUDA seems to run fine. Any ideas?
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Icecold Send message Joined: 19 Jul 20 Posts: 6 Credit: 649,723,375 RAC: 1	Message 6881 - Posted: 31 Oct 2020, 16:25:23 UTC - in response to Message 6880.
I was working under the thought process that the RTX 3080 may not work correctly with CUDA 10.1. I compiled mfakt from source specifying CUDA 11.10 but am still getting errors. This task is worth looking at http://srbase.my-firewall.org/sr5/result.php?resultid=22792002
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rebirther Volunteer moderator Project administrator Project developer Project tester Project scientist Send message Joined: 2 Jan 13 Posts: 7479 Credit: 43,686,081 RAC: 42,669	Message 6882 - Posted: 31 Oct 2020, 16:25:52 UTC - in response to Message 6880. Last modified: 31 Oct 2020, 16:28:45 UTC
I just got an RTX 3080. I'm running Windows 10 and I installed the 10.1 CUDA Toolkit. SRBase errors after 3 seconds of running. These are the tasks - http://srbase.my-firewall.org/sr5/results.php?hostid=210547 The error seems to be ERROR: cudaGetLastError() returned 48: no kernel image is available for execution on the device. I've never ran SRBase on this machine before(and normally run Linux), but Primegrid PPS Sieve which uses CUDA seems to run fine. Any ideas? CUDA version info binary compiled for CUDA 10.0 CUDA runtime version 10.0 CUDA driver version 11.10 Could be the driver, can you test with a 10.x driver version?
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Icecold Send message Joined: 19 Jul 20 Posts: 6 Credit: 649,723,375 RAC: 1	Message 6883 - Posted: 31 Oct 2020, 16:44:15 UTC - in response to Message 6882. Last modified: 31 Oct 2020, 16:44:41 UTC
I appreciate the reply! I don't think there is a 10.x driver version that works with RTX 3080. I tried compiling from source and specifying 11.10 but it still errors - this task shows the following: CUDA version info binary compiled for CUDA 11.10 CUDA runtime version 11.10 CUDA driver version 11.10
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rebirther Volunteer moderator Project administrator Project developer Project tester Project scientist Send message Joined: 2 Jan 13 Posts: 7479 Credit: 43,686,081 RAC: 42,669	Message 6884 - Posted: 31 Oct 2020, 16:50:32 UTC - in response to Message 6883. Last modified: 31 Oct 2020, 17:00:32 UTC
I appreciate the reply! I don't think there is a 10.x driver version that works with RTX 3080. I tried compiling from source and specifying 11.10 but it still errors - this task shows the following: CUDA version info binary compiled for CUDA 11.10 CUDA runtime version 11.10 CUDA driver version 11.10 ok, I will try to ask in forum if there is a solution for this.
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rebirther Volunteer moderator Project administrator Project developer Project tester Project scientist Send message Joined: 2 Jan 13 Posts: 7479 Credit: 43,686,081 RAC: 42,669	Message 6885 - Posted: 31 Oct 2020, 17:36:35 UTC Last modified: 31 Oct 2020, 17:38:33 UTC
Can you run mfaktc.exe -st and --perftest in hope thats working. If yes pls post the complete output.
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Icecold Send message Joined: 19 Jul 20 Posts: 6 Credit: 649,723,375 RAC: 1	Message 6887 - Posted: 31 Oct 2020, 18:14:03 UTC - in response to Message 6885. Last modified: 31 Oct 2020, 18:14:28 UTC
With the exe I compiled: mfaktc v0.21 (64bit built) Compiletime options THREADS_PER_BLOCK 256 SIEVE_SIZE_LIMIT 32kiB SIEVE_SIZE 193154bits SIEVE_SPLIT 250 MORE_CLASSES enabled Runtime options SievePrimes 25000 SievePrimesAdjust 1 SievePrimesMin 5000 SievePrimesMax 100000 NumStreams 3 CPUStreams 3 GridSize 3 GPU Sieving enabled GPUSievePrimes 82486 GPUSieveSize 64Mi bits GPUSieveProcessSize 16Ki bits Checkpoints enabled CheckpointDelay 30s WorkFileAddDelay 600s Stages enabled StopAfterFactor bitlevel PrintMode full V5UserID (none) ComputerID (none) AllowSleep no TimeStampInResults no CUDA version info binary compiled for CUDA 11.10 CUDA runtime version 11.10 CUDA driver version 11.10 CUDA device info name GeForce RTX 3080 compute capability 8.6 max threads per block 1024 max shared memory per MP 102400 byte number of multiprocessors 68 clock rate (CUDA cores) 1725MHz memory clock rate: 9501MHz memory bus width: 320 bit Automatic parameters threads per grid 557056 GPUSievePrimes (adjusted) 82486 GPUsieve minimum exponent 1055144 ########## testcase 1/2867 ########## Starting trial factoring M50804297 from 2^67 to 2^68 (0.59 GHz-days) Using GPU kernel "75bit_mul32_gs" Date Time \| class Pct \| time ETA \| GHz-d/day Sieve Wait Oct 31 14:11 \| 3387 0.1% \| 0.001 n.a. \| n.a. 82485 n.a.% ERROR: cudaGetLastError() returned 98: invalid device function mfaktc v0.21 (64bit built) Compiletime options THREADS_PER_BLOCK 256 SIEVE_SIZE_LIMIT 32kiB SIEVE_SIZE 193154bits SIEVE_SPLIT 250 MORE_CLASSES enabled Runtime options SievePrimes 25000 SievePrimesAdjust 1 SievePrimesMin 5000 SievePrimesMax 100000 NumStreams 3 CPUStreams 3 GridSize 3 GPU Sieving enabled GPUSievePrimes 82486 GPUSieveSize 64Mi bits GPUSieveProcessSize 16Ki bits Checkpoints enabled CheckpointDelay 30s WorkFileAddDelay 600s Stages enabled StopAfterFactor bitlevel PrintMode full V5UserID (none) ComputerID (none) AllowSleep no TimeStampInResults no CUDA version info binary compiled for CUDA 11.10 CUDA runtime version 11.10 CUDA driver version 11.10 CUDA device info name GeForce RTX 3080 compute capability 8.6 max threads per block 1024 max shared memory per MP 102400 byte number of multiprocessors 68 clock rate (CUDA cores) 1725MHz memory clock rate: 9501MHz memory bus width: 320 bit Automatic parameters threads per grid 557056 GPUSievePrimes (adjusted) 82486 GPUsieve minimum exponent 1055144 running a simple selftest... ERROR: cudaGetLastError() returned 98: invalid device function
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Icecold Send message Joined: 19 Jul 20 Posts: 6 Credit: 649,723,375 RAC: 1	Message 6889 - Posted: 31 Oct 2020, 18:17:32 UTC
On the default BOINC exe: mfaktc v0.21 (64bit built) Compiletime options THREADS_PER_BLOCK 256 SIEVE_SIZE_LIMIT 32kiB SIEVE_SIZE 193154bits SIEVE_SPLIT 250 MORE_CLASSES enabled Runtime options SievePrimes 25000 SievePrimesAdjust 1 SievePrimesMin 5000 SievePrimesMax 100000 NumStreams 3 CPUStreams 3 GridSize 3 GPU Sieving enabled GPUSievePrimes 82486 GPUSieveSize 64Mi bits GPUSieveProcessSize 16Ki bits Checkpoints enabled CheckpointDelay 300s WorkFileAddDelay disabled Stages enabled StopAfterFactor class PrintMode full V5UserID (none) ComputerID (none) AllowSleep no TimeStampInResults no CUDA version info binary compiled for CUDA 10.0 CUDA runtime version 10.0 CUDA driver version 11.10 CUDA device info name GeForce RTX 3080 compute capability 8.6 max threads per block 1024 max shared memory per MP 102400 byte number of multiprocessors 68 clock rate (CUDA cores) 1725MHz memory clock rate: 9501MHz memory bus width: 320 bit Automatic parameters threads per grid 557056 GPUSievePrimes (adjusted) 82486 GPUsieve minimum exponent 1055144 ########## testcase 1/2867 ########## Starting trial factoring M50804297 from 2^67 to 2^68 (0.59 GHz-days) Using GPU kernel "75bit_mul32_gs" Date Time \| class Pct \| time ETA \| GHz-d/day Sieve Wait Oct 31 14:16 \| 3387 0.1% \| 0.001 n.a. \| n.a. 82485 n.a.% ERROR: cudaGetLastError() returned 48: no kernel image is available for execution on the device mfaktc v0.21 (64bit built) Compiletime options THREADS_PER_BLOCK 256 SIEVE_SIZE_LIMIT 32kiB SIEVE_SIZE 193154bits SIEVE_SPLIT 250 MORE_CLASSES enabled Runtime options SievePrimes 25000 SievePrimesAdjust 1 SievePrimesMin 5000 SievePrimesMax 100000 NumStreams 3 CPUStreams 3 GridSize 3 GPU Sieving enabled GPUSievePrimes 82486 GPUSieveSize 64Mi bits GPUSieveProcessSize 16Ki bits Checkpoints enabled CheckpointDelay 300s WorkFileAddDelay disabled Stages enabled StopAfterFactor class PrintMode full V5UserID (none) ComputerID (none) AllowSleep no TimeStampInResults no CUDA version info binary compiled for CUDA 10.0 CUDA runtime version 10.0 CUDA driver version 11.10 CUDA device info name GeForce RTX 3080 compute capability 8.6 max threads per block 1024 max shared memory per MP 102400 byte number of multiprocessors 68 clock rate (CUDA cores) 1725MHz memory clock rate: 9501MHz memory bus width: 320 bit Automatic parameters threads per grid 557056 GPUSievePrimes (adjusted) 82486 GPUsieve minimum exponent 1055144 running a simple selftest... ERROR: cudaGetLastError() returned 48: no kernel image is available for execution on the device
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rebirther Volunteer moderator Project administrator Project developer Project tester Project scientist Send message Joined: 2 Jan 13 Posts: 7479 Credit: 43,686,081 RAC: 42,669	Message 6890 - Posted: 31 Oct 2020, 18:19:22 UTC Last modified: 31 Oct 2020, 18:19:42 UTC
is mfaktc.exe --perftest in standalone working? From the other test it can not run the selftest.
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Icecold Send message Joined: 19 Jul 20 Posts: 6 Credit: 649,723,375 RAC: 1	Message 6891 - Posted: 31 Oct 2020, 18:32:21 UTC - in response to Message 6890.
It is not. This is the results of running it: mfaktc v0.21 (64bit built) Compiletime options THREADS_PER_BLOCK 256 SIEVE_SIZE_LIMIT 32kiB SIEVE_SIZE 193154bits SIEVE_SPLIT 250 MORE_CLASSES enabled Runtime options SievePrimes 25000 SievePrimesAdjust 1 SievePrimesMin 5000 SievePrimesMax 100000 NumStreams 3 CPUStreams 3 GridSize 3 GPU Sieving enabled GPUSievePrimes 82486 GPUSieveSize 64Mi bits GPUSieveProcessSize 16Ki bits Checkpoints enabled CheckpointDelay 300s WorkFileAddDelay disabled Stages enabled StopAfterFactor class PrintMode full V5UserID (none) ComputerID (none) AllowSleep no TimeStampInResults no CUDA version info binary compiled for CUDA 10.0 CUDA runtime version 10.0 CUDA driver version 11.10 CUDA device info name GeForce RTX 3080 compute capability 8.6 max threads per block 1024 max shared memory per MP 102400 byte number of multiprocessors 68 clock rate (CUDA cores) 1725MHz memory clock rate: 9501MHz memory bus width: 320 bit Automatic parameters threads per grid 557056 GPUSievePrimes (adjusted) 82486 GPUsieve minimum exponent 1055144 running a simple selftest... ERROR: cudaGetLastError() returned 48: no kernel image is available for execution on the device That was with the standard executable that comes with BOINC, but it does the same thing on the one I compiled.
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rebirther Volunteer moderator Project administrator Project developer Project tester Project scientist Send message Joined: 2 Jan 13 Posts: 7479 Credit: 43,686,081 RAC: 42,669	Message 6892 - Posted: 31 Oct 2020, 18:35:21 UTC - in response to Message 6891.
ok, then its not compatible. Lets see if we can collect some datas with current working cards.
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Icecold
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I just got an RTX 3080. I'm running Windows 10 and I installed the 10.1 CUDA Toolkit. SRBase errors after 3 seconds of running. These are the tasks - http://srbase.my-firewall.org/sr5/results.php?hostid=210547

The error seems to be ERROR: cudaGetLastError() returned 48: no kernel image is available for execution on the device. I've never ran SRBase on this machine before(and normally run Linux), but Primegrid PPS Sieve which uses CUDA seems to run fine. Any ideas?

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Icecold
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I was working under the thought process that the RTX 3080 may not work correctly with CUDA 10.1. I compiled mfakt from source specifying CUDA 11.10 but am still getting errors. This task is worth looking at http://srbase.my-firewall.org/sr5/result.php?resultid=22792002

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I just got an RTX 3080. I'm running Windows 10 and I installed the 10.1 CUDA Toolkit. SRBase errors after 3 seconds of running. These are the tasks - http://srbase.my-firewall.org/sr5/results.php?hostid=210547

The error seems to be ERROR: cudaGetLastError() returned 48: no kernel image is available for execution on the device. I've never ran SRBase on this machine before(and normally run Linux), but Primegrid PPS Sieve which uses CUDA seems to run fine. Any ideas?

CUDA version info
binary compiled for CUDA 10.0
CUDA runtime version 10.0
CUDA driver version 11.10

Could be the driver, can you test with a 10.x driver version?

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Icecold
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I appreciate the reply! I don't think there is a 10.x driver version that works with RTX 3080. I tried compiling from source and specifying 11.10 but it still errors - this task shows the following:

CUDA version info
binary compiled for CUDA 11.10
CUDA runtime version 11.10
CUDA driver version 11.10

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rebirther
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I appreciate the reply! I don't think there is a 10.x driver version that works with RTX 3080. I tried compiling from source and specifying 11.10 but it still errors - this task shows the following:

CUDA version info
binary compiled for CUDA 11.10
CUDA runtime version 11.10
CUDA driver version 11.10

ok, I will try to ask in forum if there is a solution for this.

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rebirther
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Can you run mfaktc.exe -st and --perftest in hope thats working. If yes pls post the complete output.

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Icecold
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With the exe I compiled:

mfaktc v0.21 (64bit built) Compiletime options THREADS_PER_BLOCK 256 SIEVE_SIZE_LIMIT 32kiB SIEVE_SIZE 193154bits SIEVE_SPLIT 250 MORE_CLASSES enabled Runtime options SievePrimes 25000 SievePrimesAdjust 1 SievePrimesMin 5000 SievePrimesMax 100000 NumStreams 3 CPUStreams 3 GridSize 3 GPU Sieving enabled GPUSievePrimes 82486 GPUSieveSize 64Mi bits GPUSieveProcessSize 16Ki bits Checkpoints enabled CheckpointDelay 30s WorkFileAddDelay 600s Stages enabled StopAfterFactor bitlevel PrintMode full V5UserID (none) ComputerID (none) AllowSleep no TimeStampInResults no CUDA version info binary compiled for CUDA 11.10 CUDA runtime version 11.10 CUDA driver version 11.10 CUDA device info name GeForce RTX 3080 compute capability 8.6 max threads per block 1024 max shared memory per MP 102400 byte number of multiprocessors 68 clock rate (CUDA cores) 1725MHz memory clock rate: 9501MHz memory bus width: 320 bit Automatic parameters threads per grid 557056 GPUSievePrimes (adjusted) 82486 GPUsieve minimum exponent 1055144 ########## testcase 1/2867 ########## Starting trial factoring M50804297 from 2^67 to 2^68 (0.59 GHz-days) Using GPU kernel "75bit_mul32_gs" Date Time | class Pct | time ETA | GHz-d/day Sieve Wait Oct 31 14:11 | 3387 0.1% | 0.001 n.a. | n.a. 82485 n.a.% ERROR: cudaGetLastError() returned 98: invalid device function

mfaktc v0.21 (64bit built) Compiletime options THREADS_PER_BLOCK 256 SIEVE_SIZE_LIMIT 32kiB SIEVE_SIZE 193154bits SIEVE_SPLIT 250 MORE_CLASSES enabled Runtime options SievePrimes 25000 SievePrimesAdjust 1 SievePrimesMin 5000 SievePrimesMax 100000 NumStreams 3 CPUStreams 3 GridSize 3 GPU Sieving enabled GPUSievePrimes 82486 GPUSieveSize 64Mi bits GPUSieveProcessSize 16Ki bits Checkpoints enabled CheckpointDelay 30s WorkFileAddDelay 600s Stages enabled StopAfterFactor bitlevel PrintMode full V5UserID (none) ComputerID (none) AllowSleep no TimeStampInResults no CUDA version info binary compiled for CUDA 11.10 CUDA runtime version 11.10 CUDA driver version 11.10 CUDA device info name GeForce RTX 3080 compute capability 8.6 max threads per block 1024 max shared memory per MP 102400 byte number of multiprocessors 68 clock rate (CUDA cores) 1725MHz memory clock rate: 9501MHz memory bus width: 320 bit Automatic parameters threads per grid 557056 GPUSievePrimes (adjusted) 82486 GPUsieve minimum exponent 1055144 running a simple selftest... ERROR: cudaGetLastError() returned 98: invalid device function

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On the default BOINC exe:

mfaktc v0.21 (64bit built) Compiletime options THREADS_PER_BLOCK 256 SIEVE_SIZE_LIMIT 32kiB SIEVE_SIZE 193154bits SIEVE_SPLIT 250 MORE_CLASSES enabled Runtime options SievePrimes 25000 SievePrimesAdjust 1 SievePrimesMin 5000 SievePrimesMax 100000 NumStreams 3 CPUStreams 3 GridSize 3 GPU Sieving enabled GPUSievePrimes 82486 GPUSieveSize 64Mi bits GPUSieveProcessSize 16Ki bits Checkpoints enabled CheckpointDelay 300s WorkFileAddDelay disabled Stages enabled StopAfterFactor class PrintMode full V5UserID (none) ComputerID (none) AllowSleep no TimeStampInResults no CUDA version info binary compiled for CUDA 10.0 CUDA runtime version 10.0 CUDA driver version 11.10 CUDA device info name GeForce RTX 3080 compute capability 8.6 max threads per block 1024 max shared memory per MP 102400 byte number of multiprocessors 68 clock rate (CUDA cores) 1725MHz memory clock rate: 9501MHz memory bus width: 320 bit Automatic parameters threads per grid 557056 GPUSievePrimes (adjusted) 82486 GPUsieve minimum exponent 1055144 ########## testcase 1/2867 ########## Starting trial factoring M50804297 from 2^67 to 2^68 (0.59 GHz-days) Using GPU kernel "75bit_mul32_gs" Date Time | class Pct | time ETA | GHz-d/day Sieve Wait Oct 31 14:16 | 3387 0.1% | 0.001 n.a. | n.a. 82485 n.a.% ERROR: cudaGetLastError() returned 48: no kernel image is available for execution on the device

mfaktc v0.21 (64bit built) Compiletime options THREADS_PER_BLOCK 256 SIEVE_SIZE_LIMIT 32kiB SIEVE_SIZE 193154bits SIEVE_SPLIT 250 MORE_CLASSES enabled Runtime options SievePrimes 25000 SievePrimesAdjust 1 SievePrimesMin 5000 SievePrimesMax 100000 NumStreams 3 CPUStreams 3 GridSize 3 GPU Sieving enabled GPUSievePrimes 82486 GPUSieveSize 64Mi bits GPUSieveProcessSize 16Ki bits Checkpoints enabled CheckpointDelay 300s WorkFileAddDelay disabled Stages enabled StopAfterFactor class PrintMode full V5UserID (none) ComputerID (none) AllowSleep no TimeStampInResults no CUDA version info binary compiled for CUDA 10.0 CUDA runtime version 10.0 CUDA driver version 11.10 CUDA device info name GeForce RTX 3080 compute capability 8.6 max threads per block 1024 max shared memory per MP 102400 byte number of multiprocessors 68 clock rate (CUDA cores) 1725MHz memory clock rate: 9501MHz memory bus width: 320 bit Automatic parameters threads per grid 557056 GPUSievePrimes (adjusted) 82486 GPUsieve minimum exponent 1055144 running a simple selftest... ERROR: cudaGetLastError() returned 48: no kernel image is available for execution on the device

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is mfaktc.exe --perftest in standalone working? From the other test it can not run the selftest.

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It is not. This is the results of running it:

mfaktc v0.21 (64bit built) Compiletime options THREADS_PER_BLOCK 256 SIEVE_SIZE_LIMIT 32kiB SIEVE_SIZE 193154bits SIEVE_SPLIT 250 MORE_CLASSES enabled Runtime options SievePrimes 25000 SievePrimesAdjust 1 SievePrimesMin 5000 SievePrimesMax 100000 NumStreams 3 CPUStreams 3 GridSize 3 GPU Sieving enabled GPUSievePrimes 82486 GPUSieveSize 64Mi bits GPUSieveProcessSize 16Ki bits Checkpoints enabled CheckpointDelay 300s WorkFileAddDelay disabled Stages enabled StopAfterFactor class PrintMode full V5UserID (none) ComputerID (none) AllowSleep no TimeStampInResults no CUDA version info binary compiled for CUDA 10.0 CUDA runtime version 10.0 CUDA driver version 11.10 CUDA device info name GeForce RTX 3080 compute capability 8.6 max threads per block 1024 max shared memory per MP 102400 byte number of multiprocessors 68 clock rate (CUDA cores) 1725MHz memory clock rate: 9501MHz memory bus width: 320 bit Automatic parameters threads per grid 557056 GPUSievePrimes (adjusted) 82486 GPUsieve minimum exponent 1055144 running a simple selftest... ERROR: cudaGetLastError() returned 48: no kernel image is available for execution on the device

That was with the standard executable that comes with BOINC, but it does the same thing on the one I compiled.

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ok, then its not compatible. Lets see if we can collect some datas with current working cards.

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