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Title: Programmable level-1 trigger with 3D-Flow processor array

Conference ·
OSTI ID:54008

The 3D-Flow parallel processing system is a new concept in processor architecture, system architecture, and assembly architecture. Compared to the electronics used in present systems, this approach reduces the cost and complexity of the hardware and allows easy assembly, disassembly, incremental upgrading, and maintenance of different interconnection topologies. The 3D-Flow parallel-processing system benefits high energy physics (HEP) by allowing: (1) common less costly hardware to be used in different experiments. (2) new uses of existing installations. (3) tuning of trigger based on the first analyzed data, and (4) selection of desired events directly from raw data. The goal of this parallel-processing architecture is to acquire multiple data in parallel (up to 100 million frames per second) and to process them at high speed, accomplishing digital filtering on the input data, pattern recognition (particle identification), data moving, and data formatting. The main features of the system are its programmability, scalability, high-speed communication, and low cost. The compactness of the 3D-Flow parallel-processing system in concert with the processor architecture allows processor interconnections to be mapped into the geometry of sensors (detectors in HEP) without large interconnection signal delay, enabling real-time pattern recognition. The overall 3D-Flow project has passed a major design review at Fermilab (Reviewers included experts in computers, triggering, system assembly, and electronics).

Research Organization:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
DOE Contract Number:
AC35-89ER40486
OSTI ID:
54008
Report Number(s):
LBL-35822; CONF-940492-; ON: DE95004442; TRN: 95:012098
Resource Relation:
Conference: Meeting on computing in high-energy physics, San Francisco, CA (United States), 21-27 Apr 1994; Other Information: PBD: [1994]; Related Information: Is Part Of Proceedings of the conference on computing in high energy physics `94; Loken, S.C. [ed.]; PB: 532 p.
Country of Publication:
United States
Language:
English