# A 3D FPGA Track Segment Seeding Engine Based on the Tiny Triplet Finder

- Institution: CERN
- Department: Conferences
- Speaker: Jinyuan Wu
- Year: 2021
- Language: English
- Subjects: Physics, Engineering
- Source: [CERN](https://videos.cern.ch/record/3018247)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

An exercise of implementing and testing a 3D track segment seeding engine core based on the Tiny Triplet Finder in a low-cost FPGA device is reported. The seeding engine is designed to preselect and group hits (stubs) from cylindrical detector layers to feed subsequent track fitting stage. The seeding engine consists of a Hugh transform space for r-z view and a Tiny Triplet Finder for r-phi view to implement 3D constraints. The seeding engine is organized as a pipeline so that each hit is processed in a single clock cycle. Test results show that the seeding engine operates as expected..

0:00:00 Slide 1

0:02:14 Slide 2

0:04:28 Slide 3

0:06:42 Slide 4

0:08:56 Slide 5

0:11:10 Slide 6

0:13:24 Slide 7

0:15:38 Slide 8

0:17:52 Slide 9

0:20:06 Slide 10

0:22:20 Slide 11

## Lectures

1. [A 3D FPGA Track Segment Seeding Engine Based on the Tiny Triplet Finder](https://invisiblenetwork.ai/learn/cern/3018247/7b724df1dc11), 23 min (CERN's player)