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gpu_isac [2021/02/19 16:55]
fschoenfeld 		gpu_isac [2021/02/19 16:56]
fschoenfeld
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   - **Open a terminal**  and navigate to your installation folder.   - **Open a terminal**  and navigate to your installation folder.
   - **Run the installation script**:   - **Run the installation script**:
- 
 <code> <code>
 ./install.sh ./install.sh
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 <code> <code>
-mpirun python /path/to/sxisac2_gpu.py bdb:path/to/stack path/to/output --CTF -–radius=160 --img_per_grp=100 --minimum_grp_size=60 --gpu_devices=0,1+mpirun python /path/to/sp_isac2_gpu.py bdb:path/to/stack path/to/output --CTF -–radius=160 --img_per_grp=100 --minimum_grp_size=60 --gpu_devices=0,1
  
 </code> </code>
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 <code> <code>
-mpirun python /path/to/sxisac2_gpu.py+mpirun python /path/to/sp_isac2_gpu.py
 bdb:path/to/stack bdb:path/to/stack
 path/to/output path/to/output
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   * ''mpirun''  is not a GPU ISAC parameter, but is required to launch GPU ISAC using MPI parallelization (GPU ISAC uses MPI to parallelize CPU computations and MPI/CUDA to distribute and parallelize GPU computations).   * ''mpirun''  is not a GPU ISAC parameter, but is required to launch GPU ISAC using MPI parallelization (GPU ISAC uses MPI to parallelize CPU computations and MPI/CUDA to distribute and parallelize GPU computations).
-  * ''/path/to/sxisac2_gpu.py''  is the path to your **sxisac2_gpu.py**  file. If you followed these instructions it should be ''your/installation/path/gpu_isac_2.2/bin/sxisac2_gpu.py''.+  * ''/path/to/sp_isac2_gpu.py''  is the path to your **sp_isac2_gpu.py**  file. If you followed these instructions it should be ''your/installation/path/gpu_isac_2.2/bin/sp_isac2_gpu.py''.
   * ''path/to/stack''  is the path to your **input .bdb stack**. If you prefer to use an **.hdf**  stack, simply remove the ''bdb:''  prefix.   * ''path/to/stack''  is the path to your **input .bdb stack**. If you prefer to use an **.hdf**  stack, simply remove the ''bdb:''  prefix.
   * ''path/to/output''  is the path to your preferred **output directory**.   * ''path/to/output''  is the path to your preferred **output directory**.
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 <code> <code>
  
-mpirun python /path/to/sxisac2_gpu.py -h+mpirun python /path/to/sp_isac2_gpu.py -h
  
 </code> </code>
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 <code> <code>
-python /path/to/sxisac2_gpu.py -h+python /path/to/sp_isac2_gpu.py -h
  
 </code> </code>
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 <code> <code>
-mpirun python bin/sxisac2_gpu.py 'bdb:/your/path/to/Particles/#stack' 'isac_out_TcdA1' --CTF --radius=145 --img_per_grp=100 --minimum_grp_size=60 --gpu_devices=0+mpirun python bin/sp_isac2_gpu.py 'bdb:/your/path/to/Particles/#stack' 'isac_out_TcdA1' --CTF --radius=145 --img_per_grp=100 --minimum_grp_size=60 --gpu_devices=0
  
 </code> </code>
  
-      * Replace ''/your/path/to/Particles/''  with the path to the ''Particles/''  directory you just downloaded. +  * Replace ''/your/path/to/Particles/''  with the path to the ''Particles/''  directory you just downloaded. 
-      * Optional: Replace ''<nowiki>--</nowiki>gpu_devices=0''  with ''<nowiki>--</nowiki>gpu_devices=0,1''  if you have two GPUs available (and so on).+  * Optional: Replace ''<nowiki>--</nowiki>gpu_devices=0''  with ''<nowiki>--</nowiki>gpu_devices=0,1''  if you have two GPUs available (and so on).
  
 The final averages can then be found in ''isac_out_TcdA1/ordered_class_averages.hdf''. You can look at them using ''e2display.py''  (or any other displaying program of your choice) and should see averages like these: The final averages can then be found in ''isac_out_TcdA1/ordered_class_averages.hdf''. You can look at them using ''e2display.py''  (or any other displaying program of your choice) and should see averages like these:
gpu_isac.txt · Last modified: 2021/05/08 00:41 by shaikh

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