DeepSim is a multi-user workstation for CPU- and GPU-intensive compute jobs. Only sysadmins have
sudo on this system; some users have non-root access to
docker. DeepSim is currently open to a limited number of experienced users, for the purposes of testing. sysadmin notes.
DeepSim was first requested in Jun 2021, with funding agreed in January 2022, and early-access testing in April 2022. history .
CPU: 64 thread; 3.5/4.2 GHz (Threadripper PRO)
RAM: 128GB (8 x 16GB)
2 x GPU: RTX3090 24GB
2TB M.2 SSD (system + home directories)
4TB Seagate IronWolf Pro 3.5 (large datasets - access on request)
Ubunutu 20.04 (CUDA 11.4)
Performance benchmarks / early testing
Training ResNet50 on Imagenet: 25 minutes / epoch (both GPUs, all GPU memory used, batch = 256, tensorflow/keras). This is a 45X speedup relative to willslab_ply (batch = 16).
PSP exploration of EXIT model: Successfully used rocker to run these R-based simulations in a docker container.
Request access to private github repo with log-in instructions from Andy Wills.