  This report describes 1) how we use Intel's Optane DCPMM in the memory Mode.
We investigate the the scalability of applications on a single Optane machine,
using Subgraph counting as memory-intensive graph problem. We test with various
input graph and subtemplate sizes to determine its performance for different
memory and CPU loads, as well as a comparison of performance on a single node
Optane with a distributed set of nodes in a cluster using MPI. 2) We
investigate the end-to-end execution delays in serverless computing and study
concurrent function executions with cold starts. In future work, we will show
that persistent memory machines may significantly improve concurrent function
invocations in serverless computing including Amazon Lambda, Microsoft Azure
Functions, Google Cloud Functions and IBM Cloud Functions (Apache OpenWhisk).
