Tuesday - Nov 19, 2024
12:15pm-1:15pm ET
Room B213
The most common way scientific data arrives at HPC facilities today is through a set of border gateway nodes connected to some form of shared file systems. Dataflow orchestration tools like Globus have made this approach popular by being programmable, easy to use, and efficient. This approach works well when the subsequent compute job for data analysis can afford to wait in the scheduler’s queue, with the overall completion time being mostly dominated by that wait time.
However, as HPC centers and experimental and observational facilities become more integrated, workflows will demand immediate, real-time feedback where the latency and performance variability that comes with a shared file system is no longer acceptable. While a few streaming workflows have emerged recently, many HPC, data, or network user facilities are not set out to support these workflows out-of-gate, for policy, scheduler, or hardware reasons. However, these workflows are the cornerstone of the DOE Integrated Research Infrastructure (IRI) program, as their stringent timing requirements benchmark the ultimate integration of HPC, data, and networks into seamless compute-in-the-loop workflows for experimental or observational user facilities.
This BoF discusses this alternative way of using HPC by opening with a science use case that exemplifies this new class of emerging workflows. Through a set of lightning talks from user facilities, the BoF will survey how HPC centers address this need today and what they have planned for the near future. These presentations aim to seed the ensuing discussion where the audience can ask questions to key staff of HPC facilities or can bring their specific streaming workflow to the attention of the workflow community.
Bjoern Enders — National Energy Research
Scientific Computing Center (NERSC)
Rafael Ferreira da Silva — Oak Ridge Leadership Computing Facility (OLCF)
Peter Ercius — Lawrence Berkeley National Laboratory (LBNL)
Sam Welborn — Lawrence Berkeley National Laboratory (LBNL)
TBA
Eli Dart, Energy Sciences Network (ESnet)
TBA
Bjoern Enders, National Energy Research Scientific Computing Center (NERSC)
TBA
Michael Brim, Oak Ridge Leadership Computing Facility (OLCF)
TBA
Alex Upton, Swiss National Supercomputing Centre (CSCS)