Differences

This shows you the differences between two versions of the page.

--- singularity-apptainer [2023/06/14 20:49] – root
+++ singularity-apptainer [2025/10/15 19:51] (current) – external edit 127.0.0.1
@@ Line 134: / Line 134: @@
 $ docker pull nvcr.io/nvidia/hpc-benchmarks:23.5
 $ docker save nvcr.io/nvidia/hpc-benchmarks:23.5 /mystoragelocation/hpc-benchmarks.tar
-$ scp /mystoragelocation/hpc-benchmarks.tar myhpcuserid@hpc-portal2.hpc.uark.edu:/storage/myhpcuserid/
+$ scp /mystoragelocation/hpc-benchmarks.tar rfeynman@hpc-portal2.hpc.uark.edu:/storage/rfeynman/
 </code>
-As myhpcuserid on the cluster, use srun to get a cloud node, this takes a few minutes:
+As "rfeynman" on the cluster, use srun to get a cloud node, this takes a few minutes:
 <code>
-$ cd /storage/myhpcuserid
+$ cd /storage/rfeynman
 $ singularity build hpc-benchmarks.sif docker-archive://hpc-benchmarks.tar
 </code>
-Then for nvidia get a gpu node with srun (and use --nv), or continue with cloud node (without --nv) for serial computing:
+Then for nvidia, get a gpu node with srun (and use shell --nv), or continue with cloud node (without --nv) for serial cpu computing:
 <code>
-$ singularity shell --nv --bind /scrfs/storage/myuserid:/mnt hpc-benchmarks.sif
+$ singularity shell --nv --bind /scrfs/storage/rfeynman:/mnt hpc-benchmarks.sif
 </code>
-For comparison, we'll run HPL with the cpu on the same node in bare metal. At this memory size it's about 2.4 TF for this dual 7543 AMD.
+For comparison, we'll run HPL with the cpu on the same node in bare metal. At this memory size it runs about 2.4 TF for this dual 7543 AMD.
 <code>
@@ Line 193: / Line 193: @@
 --------------------------------------------------------------------------------
 WC32L2C4       62976   216     4     4              69.49             2.3963e+03
-HPL_pdgesv() start time Wed Jun 14 15:42:54 2023
-HPL_pdgesv() end time   Wed Jun 14 15:44:03 2023
 ================================================================================
@@ Line 209: / Line 207: @@
 </code>
-We'll copy this to apptainer and change the MPI grid from 4x4 to 1x1 in HPL.dat.  In this measure, a single NVidia A100 GPU is a little over 5 times as fast as two AMD 7543 CPUs.  The 40 GB memory of this GPU is close to full.
+We'll copy this HPL.dat to apptainer and change the MPI grid from 4x4 to 1x1.  In this measure, a single NVidia A100 GPU is a little over 5 times as fast as two AMD 7543 CPUs.  The 40 GB memory of this GPU is close to full, though the CPU memory could hold more.
 <code>