Veranstaltungen

T. Aarrestad(CERN): Ultrafast Machine Learning Inference in FPGAs

At the CERN Large Hadron Collider, protons are brought to collide hundreds of millions of times per second. The collision debris allows us to study the fundamental building blocks of the universe and look for hints of new forces and particles. The vast majority of the collision data are immediately discarded by a real-time event filtering system due to storage and computational limitations. While most of these data are uninterresting, signals of new physics might be inadvertendly thrown away in the process. The first stage of this event filtering system consists of hundreds of field-programmable gate arrays (FPGAs), tasked with rejecting over 98% of the proton collisions within a few microseconds. With the start of HL-LHC in 2029, a more granular detector and more particles per collision will increase the event complexity significantly, and ultimately require the FPGA farm to process an amount of data comparable to 5% of the total internet traffic. International Cooperation Project
Zeit
Donnerstag, 19.05.2022 10:15 Uhr - 11:15 Uhr
Veranstaltungstyp
Vortrag
Themengebiet
Physics, Informatics
Zielgruppen

Öffentlich

Studierende

Wissenschaftler*innen

Sprachen
English
Ort
Konferenzraum II (PI 1.049), Physikalisches Institut, Nussallee 12, 53115 Bonn and via zoom (hybrid) for connection details contact the Dr. Lupberger
Raum
Konferenzraum II (PI 1.049)
Reservierung
Nein
Veranstalter
Physikalisches Institut
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