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--- cluster:215 [2024/02/14 21:17]
hmeij07 [Lammps]
+++ cluster:215 [2024/05/15 13:09]
hmeij07 [Miniconda3-py312]
@@ Line 12: / Line 12: @@
 https://dokuwiki.wesleyan.edu/doku.php?id=cluster:214#slurm\\
 https://dokuwiki.wesleyan.edu/doku.php?id=cluster:214#slurm_jobs
+===== FLAG =====
+  * https://github.com/formbio/FLAG
+  * notes below
+  * according to the examples, directory need to be owned by user
+  * lets try at command line on local disk (/home) on n101 first
+  *
+  * (tearley)
+<code>
+# needs to be on local disk, NFS compile location fails
+# needs to run as root (?) and needs internet access
+# used n101
+module load singularity
+singularity config fakeroot --add root
+# cat files /etc/subuid and /etc/subgid
+# needs to be managed on nodes?
+cd /home
+unzip FLAG-main.zip
+mv FLAG-main FLAG-20240425
+date > build.log
+./build_singularity_flag.sh | tee -a build.log
+INFO:    Build complete: singularity_flag.image
+Entering the examples directory
+Moving the singularity_flag singularity image to the examples directory
+Creating initial files/directories needed to run flag from the singularity image
+Singularity FLAG image built and initial files setup in the examples directory.
+# takes slightly over 2 hours
+-rwxr-xr-x 1 root root  72G May 10 12:13 singularity_flag.image
+</code>
+===== Miniconda3-py312 =====
+  * module: miniconda3/py312
+  * Miniconda framework with python 3.12.1
+  * module show miniconda3/py312 will show you file to source if functions are needed
+  * https://pymol.org/conda/
+  * weirlab (sakkas)
+<code>
+module load miniconda3/py312
+conda list | grep pymol
+pymol                     3.0.0           py312h2dc6bc7_0    schrodinger
+pymol-bundle              3.0.0                         1    schrodinger
+pymol-web-examples        2.4                           1    schrodinger
+# thayerlab
+  joblib             conda-forge/noarch::joblib-1.4.2-pyhd8ed1ab_0
+</code>
 ===== Crest/XTB =====
@@ Line 169: / Line 235: @@
     * hoomd v4.3.0 with cuda toolkit 11.6
     * https://hoomd-blue.readthedocs.io/en/latest/installation.html
+    * multi-gpu
+      * https://hoomd-blue.readthedocs.io/en/v2.9.3/mpi.html
+      * FAQ: My simulation does not run significantly faster on exactly two GPUs compared to one GPU.
+      * This is expected. HOOMD uses special optimizations for single-GPU runs
 <code>
@@ Line 194: / Line 264: @@
 >>> import signac
 >>> import flow
->>> cpu = hoomd.device.CPU()
+>>> hoomd.version.gpu_enabled
->>>
+True
+>>>
 </code>

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