26TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY & NUCLEAR PHYSICS (CHEP2023)

Performance of Heterogeneous Algorithm Scheduling in CMSSW

May 9, 2023, 3:15 PM

15m

Marriott Ballroom VII (Norfolk Waterside Marriott)

Oral Track 11 - Heterogeneous Computing and Accelerators Track X - Exascale Science, Heterogeneous Computing and Accelerators, and Quantum Computing

Speaker

Dr Kortelainen, Matti (Fermi National Accelerator Laboratory)

Description

The CMS experiment started to utilize Graphics Processing Units (GPU) to accelerate the online reconstruction and event selection running on its High Level Trigger (HLT) farm in the 2022 data taking period. The projections of the HLT farm to the High-Luminosity LHC foresee a significant use of compute accelerators in the LHC Run 4 and onwards in order to keep the cost, size, and power budget of the farm under control. This direction of leveraging compute accelerators has synergies with the increasing use of HPC resources in HEP computing, as HPC machines are employing more and more compute accelerators that are predominantly GPUs today. In this work we review the features developed for the CMS data processing framework, CMSSW, to support the effective utilization of both compute accelerators and many-core CPUs within a highly concurrent task-based framework. We measure the impact of various design choices for the scheduling of heterogeneous algorithms on the event processing throughput, using the Run-3 HLT application as a realistic use case.

Presentation materials

20230509-CHEP23_CMSSWHeterogeneousScheduling.pdf

Peer reviewing

Paper

Accepted on Dec 22, 2023 by Steven Timm

Paper files:

• CHEP2023_Scheduling_submit.pdf
• publication_right_form.pdf