Bringing heterogeneity to the CMS software framework [Slides]

Technical Report · Mon Nov 04 00:00:00 EST 2019

DOI:https://doi.org/10.2172/1630717· OSTI ID:1630717

Bocci, Andrea ^[1]; Dagenhart, W. David ^[1]; Innocente, Vincenzo ^[2]; Jones, Christopher D. ^[1]; Kortelainen, Matti J. ^[1]; Pantaleo, Felice ^[1]; Rovere, Marco ^[1]

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1. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
2. European Organization for Nuclear Research (CERN), Geneva (Switzerland)

Co-processors or accelerators like GPUs and FPGAs are becoming more and more popular. CMS’ data processing framework (CMSSW) implements multi-threading using Intel TBB utilizing tasks as concurrent units of work. We have developed generic mechanisms within the CMSSW framework to interact effectively with non-CPU resources and configure CPU and non-CPU algorithms in a unified way. As a first step to gain experience, we have explored mechanisms for how algorithms could offload work to NVIDIA GPUs with CUDA.

• Research Organization: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
• Sponsoring Organization: USDOE Office of Science (SC), High Energy Physics (HEP)
• DOE Contract Number: AC02-07CH11359
• OSTI ID: 1630717
• Report Number(s): FERMILAB-SLIDES-19-069-SCD; oai:inspirehep.net:1796906; TRN: US2106572
• Resource Relation: Conference: 24.International Conference on Computing in High-Energy and Nuclear Physics (CHEP 2019), Adelaide (Australia), 4-8 Nov 2019
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING