VIPRAM_L1CMS [electronic resource] : a 2-Tier 3D Architecture for Pattern Recognition for Track Finding
- Published
- Washington, D.C. : United States. Dept. of Energy. High Energy Physics Division, 2017.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy - Additional Creators
- Fermi National Accelerator Laboratory, United States. Department of Energy. High Energy Physics Division, and United States. Department of Energy. Office of Scientific and Technical Information
Access Online
- Restrictions on Access
- Free-to-read Unrestricted online access
- Summary
- In HEP tracking trigger applications, flagging an individual detector hit is not important. Rather, the path of a charged particle through many detector layers is what must be found. Moreover, given the increased luminosity projected for future LHC experiments, this type of track finding will be required within the Level 1 Trigger system. This means that future LHC experiments require not just a chip capable of high-speed track finding but also one with a high-speed readout architecture. VIPRAM_L1CMS is 2-Tier Vertically Integrated chip designed to fulfill these requirements. It is a complete pipelined Pattern Recognition Associative Memory (PRAM) architecture including pattern recognition, result sparsification, and readout for Level 1 trigger applications in CMS with 15-bit wide detector addresses and eight detector layers included in the track finding. Pattern recognition is based on classic Content Addressable Memories with a Current Race Scheme to reduce timing complexity and a 4-bit Selective Precharge to minimize power consumption. VIPRAM_L1CMS uses a pipelined set of priority-encoded binary readout structures to sparsify and readout active road flags at frequencies of at least 100MHz. VIPRAM_L1CMS is designed to work directly with the Pulsar2b Architecture.
- Report Numbers
- E 1.99:fermilab-conf-16-690-ppd
fermilab-conf-16-690-ppd - Subject(s)
- Note
- Published through SciTech Connect.
06/15/2017.
"fermilab-conf-16-690-ppd"
"1622970"
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, Atlanta, Georgia, USA, 10/21-10/28/2017.
Hoff, J.; Joshi, Joshi,S.; Liu, Liu,; Olsen, J.; Shenai, A. - Funding Information
- AC02-07CH11359
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