STDERR: CUDA error cudaErrorIllegalAddress : an illegal memory access was encountered.

[shaneo257]

Whilst plotting with the 128gb Hybrid plotter in 2.1.0 GUI i get the error STDERR: CUDA error cudaErrorIllegalAddress : an illegal memory access was encountered.

OS: Windows 10

Below is the log of the plotting process

Bladebit Chia Plotter
Version : 3.1.0
Git Commit : e9836f8
Compiled With: msvc 19.29.30152

[Global Plotting Config]
Will create 1 plots.
Thread count : 24
Warm start enabled : false
NUMA disabled : false
CPU affinity disabled : false
Farmer public key :
Pool contract address :
Compression Level : 4
Benchmark mode : disabled

[Bladebit CUDA Plotter]
Host RAM : 127 GiB
Plot checks : disabled

Selected cuda device 0 : NVIDIA GeForce GTX 1660
CUDA Compute Capability : 7.5
SM count : 22
Max blocks per SM : 16
Max threads per SM : 1024
Async Engine Count : 6
L2 cache size : 1.50 MB
L2 persist cache max size : 0.00 MB
Stack Size : 1.00 KB
Memory:
Total : 6.00 GB
Free : 5.02 GB

Allocating buffers (this may take a few seconds)...
Kernel RAM required : 92405843664 bytes ( 88125.08 MiB or 86.06 GiB )
Intermediate RAM required : 4378927104 bytes ( 4176.07 MiB or 4.08 GiB )
Host RAM required : 28420603904 bytes ( 27104.00 MiB or 26.47 GiB )
Total Host RAM required : 120826447568 bytes ( 115229.08 MiB or 112.53 GiB )
GPU RAM required : 6161465344 bytes ( 5876.03 MiB or 5.74 GiB )
Allocating buffers...
Done.

Generating plot 1 / 1: cf6284ab402697c431d902ebde09514c8574756a07ae340eeb31dc292bb9aa1f
Plot temporary file: F:\plot-k32-c04-2023-10-12-14-53-cf6284ab402697c431d902ebde09514c8574756a07ae340eeb31dc292bb9aa1f.plot.tmp

Generating F1
Progress update: 0.01
Finished F1 in 8.08 seconds.
Progress update: 0.1
Table 2 completed in 112.01 seconds with 4294929037 entries.
Progress update: 0.2
Table 3 completed in 307.73 seconds with 4294770529 entries.
Progress update: 0.3
Table 4 completed in 274.57 seconds with 4294461195 entries.
Progress update: 0.4
Table 5 completed in 259.13 seconds with 4293751630 entries.
Progress update: 0.5
Table 6 completed in 254.86 seconds with 4292505069 entries.
Progress update: 0.6
Table 7 completed in 123.13 seconds with 4290096020 entries.
Progress update: 0.7
Finalizing Table 7
Finalized Table 7 in 22.11 seconds.
Completed Phase 1 in 1362.26 seconds
Progress update: 0.8
Marked Table 6 in 11.91 seconds.
Marked Table 5 in 10.92 seconds.
Marked Table 4 in 10.63 seconds.
Marked Table 3 in 10.60 seconds.
Completed Phase 2 in 44.07 seconds
Progress update: 0.9
Compressing Table 2 and 3...
STDERR: CUDA error: 700 (0x2bc) cudaErrorIllegalAddress : an illegal memory access was encountered

STDERR:

STDERR: *** Panic!!! *** Fatal Error:

STDERR: CUDA error cudaErrorIllegalAddress : an illegal memory access was encountered.

0x00007FF72E6293E2 @ ::
0x00007FF72E72ED79 @ ::
0x00007FF72E74CE0D @ ::
0x00007FF72E7722CA @ ::
0x00007FF72E771F38 @ ::
0x00007FF72E75892B @ ::
0x00007FF72E759CEB @ ::
0x00007FF72E750152 @ ::
0x00007FF72E7506BF @ ::
0x00007FF72E60F0A8 @ ::
0x00007FF72E7BAFEC @ ::
0x00007FFD31FB7344 @ ::BaseThreadInitThunk()
0x00007FFD33E626B1 @ ::RtlUserThreadStart()

[sobertram]

Selected cuda device 0 : NVIDIA GeForce GTX 1660
CUDA Compute Capability : 7.5
SM count : 22
Max blocks per SM : 16
Max threads per SM : 1024
Async Engine Count : 6
L2 cache size : 1.50 MB
L2 persist cache max size : 0.00 MB
Stack Size : 1.00 KB
Memory:
Total : 6.00 GB
Free : 5.02 GB

GPU RAM required : 6161465344 bytes ( 5876.03 MiB or 5.74 GiB )
5.74 GiB = 6.16327807 GB

[harold-b]

Good observation @sobertram. It seems the CUDA api allows the allocation to go through.
@shaneo257 you might try setting the buckets to 256. Although this isn't technically officially supported, it should work and it lowers memory requirements. Other users with 6G GPUs have successfully plotted this way).

You'll have to change this line to say 256u instead of 128u. Then re-compile.

[shaneo257]

thanks guys, i did think of that earlier today that i didn't have enough GPU RAM when i was plotting, framing and had nicehash
all good, ive already committed to GH now