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Hi, When I run the program with CUDA, print
Runtime parameters:
Objective type: METIS_OBJTYPE_VOL
Coarsening type: METIS_CTYPE_RM
Initial partitioning type: METIS_IPTYPE_GROW
Refinement type: Unknown!
Perform a 2-hop matching: Yes
Number of balancing constraints: 1
Number of refinement iterations: 13752768
Random number seed: 55995168
Number of separators: 13756416
Compress graph prior to ordering: Yes
Detect & order connected components separately: Yes
Prunning factor for high degree vertices: 0.300000
Allowed maximum load imbalance: 13753.480
Input Error: Incorrect objective type.
nbrpool statistics
nbrpoolsize: zu nbrpoolcpos: zu
nbrpoolreallocs: zu
and I found that did not use cuda to accelerate, but the result is right. What's wrong? The environment is win10 X64 cuda8.0. Thank you!
The text was updated successfully, but these errors were encountered:
Hi, When I run the program with CUDA, print
Runtime parameters:
Objective type: METIS_OBJTYPE_VOL
Coarsening type: METIS_CTYPE_RM
Initial partitioning type: METIS_IPTYPE_GROW
Refinement type: Unknown!
Perform a 2-hop matching: Yes
Number of balancing constraints: 1
Number of refinement iterations: 13752768
Random number seed: 55995168
Number of separators: 13756416
Compress graph prior to ordering: Yes
Detect & order connected components separately: Yes
Prunning factor for high degree vertices: 0.300000
Allowed maximum load imbalance: 13753.480
Input Error: Incorrect objective type.
nbrpool statistics
nbrpoolsize: zu nbrpoolcpos: zu
nbrpoolreallocs: zu
and I found that did not use cuda to accelerate, but the result is right. What's wrong? The environment is win10 X64 cuda8.0. Thank you!
The text was updated successfully, but these errors were encountered: