Comments (3)
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
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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
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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.
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Related Issues (20)
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