Live Demonstration: Automated DNN Deployment on the IBM HERMES Project Chip

For this demonstration, we will showcase the operation of a software stack capable of automatically deploying Matrix-Vector Matrix (MVM) operations of diverse deep learning workloads in a pipelined-manner on a phase-change memory-based analog in-memory computing chip with high-accuracy. For a real chip, each deployment step will be highlighted for a transformer-based network trained to perform an organic chemical reaction prediction task. Additionally, using an emulated mode of operation, these steps will also be highlighted for a Resnet-based network, which has been trained to perform image classification, and a hybrid CNN/LSTM network trained to infer nucleotide sequences from sequences of amplitude values measured from a sequencing device.