  Emerging high-performance storage technologies are opening up the possibility
of designing new distributed data acquisition system architectures, in which
the live acquisition of data and their processing are decoupled through a
storage element. An example of these technologies is 3DXPoint, which promises
to fill the gap between memory and traditional storage and offers unprecedented
high throughput for data persistency.
  In this paper, we characterize the performance of persistent memory devices,
which use the 3DXPoint technology, in the context of the data acquisition
system for one large Particle Physics experiment, DUNE. This experiment must be
capable of storing, upon a specific signal, incoming data for up to 100
seconds, with a throughput of 1.5 TB/s, for an aggregate size of 150 TB. The
modular nature of the apparatus allows splitting the problem into 150 identical
units operating in parallel, each at 10 GB/s. The target is to be able to
dedicate a single CPU to each of those units for data acquisition and storage.
