Presentation by Philip Harris & Jeff Krupa (MIT)
Heterogeneous Computing at the LHC

TL;DR

🎓 FastML Collaboration is group founded by P.Harris and Nhan Tran to adapt DNN to LHC data flow, but already goes far beyond. HLS4ML tools is part of the project.

💫 Proton collisions (events) occurs at 40MHz in the CMS detector, a new collision each 25ns and there 8Mb of data per collision and it gives 320Tb/s. There's no chance to catch them all for now.

🐾 There are 3 triggering levels, that select only "interesting event" for offline-computing at rate 8Gb/s. ML Models (Decision Trees and DNNs) are used for events classification. It creates huge challenges both for throughput, and latency requirements.

☁️ Described system integrates FPGAs and GPUs accelerators in the cloud through the network, to make it available for researches.

🧩 This huge and largescale work includes may famous institutions, among them Fermilab, MIT, CERN, AWS and Microsoft Brainwave project and can be applied not only to HEP, but also Astrophysics and Gravitational Wave Detection

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