Manifold learning

PI Name Stefan Wild, MCS
PI Institution Argonne National Laboratory
Project Description

We are testing different acceleration schemes and algorithmic variants for manifold learning and reinforcement learning. Our codes primarily employ tensorflow and pytorch and we’re hoping to get timing results on the modern GPU systems in JLSE.

Testbed

Resources on the DGX Queue and/or gpu_power9_v100_smx2 queue