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GPU computing is slow #19

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chenshixinnb opened this issue Mar 3, 2022 · 3 comments
Open

GPU computing is slow #19

chenshixinnb opened this issue Mar 3, 2022 · 3 comments

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@chenshixinnb
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Same multimer sequence,two chains,in total 646AA.

Use ParallelFold,CPU phase use 1h33min,GPU phase use 5h30min,generate five models.command: -p multimer -m model_1_multimer,model_2_multimer,model_3_multimer,model_4_multimer,model_5_multimer.

Use ParallelFold,CPU phase use 1h27min,GPU phase use 1h25min,generate one models.command: -p multimer -m model_1_multimer

Use Alphafold Docker,total use 2h20min,generate five models

@Zuricho
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Zuricho commented Mar 3, 2022

When using multimer models, sometimes a collapsed structure may cause the running time and amber relaxation time very long.
Did you look into the predicted computed structure? Is it correct or reasonable?

@chenshixinnb
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How can I determine if the calculation structure is reasonable?Do you have any relevant references?
Thanks.

@Zuricho
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Zuricho commented Mar 5, 2022

you can just look at the output structure, is it looked reasonable? like does it have reasonable secondary structure?
also, you can check which step took longest time? is it inference or relaxation?

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