Fast inference of deep neural networks in FPGAs for particle physics
Recent results at the Large Hadron Collider (LHC) have pointed to enhanced physics capabilities through the improvement of the real-time event processing techniques. Machine learning methods are ubiquitous and have proven to be very powerful in LHC physics, and particle physics as a whole. However,...
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2020
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| Online Access: | https://hdl.handle.net/1721.1/128237 |