[aheeffer]

It took me a while, but I succeeded in building a 64-bit Windows 10 executable using the NVIDIA GPU Computing Toolkit v.11.1, Visual Studio 2019 Community and Msys64 for mfaktc adding the new 8.0 and 8.6 architecture (which my RTX 3060 ti uses).

Now, I get a CUDA runtime error.

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 3060 Ti
  compute capability        8.6
  max threads per block     1024
  max shared memory per MP  102400 byte
  number of multiprocessors 38
  clock rate (CUDA cores)   1800MHz
  memory clock rate:        7001MHz
  memory bus width:         256 bit

Automatic parameters
  threads per grid          622592
  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
Dec 06 14:53 | 3387   0.1% |  0.001    n.a. |      n.a.    82485    n.a.%
ERROR: cudaGetLastError() returned 98: invalid device function

Any advice?

BTW, I also get the same error running on a RTX 2060 card.