Speaker
Description
Moore’s Law has defied our expectations and remained relevant in the semiconductor industry in the past 50 years, but many believe it is only a matter of time before an insurmountable technical barrier brings about its eventual demise. Many in the computing industry are now developing post-Moore’s Law processing solutions based on new and novel architectures. An example is the Micron Automata Processor (AP) which uses a non-von Neumann architecture based on the hardware realization of Non-deterministic Finite Automata. Although it is a dedicated pattern search engine designed primarily for text-based searches in the Internet search industry, the AP is also suitable for pattern recognition applications in HEP such as track finding. We describe our work in demonstrating a proof-of-concept for the suitability of the AP in HEP track finding applications. We compare our AP-based approach with a similar one based on Content-Addressable Memories on an FPGA. Pros and cons of each approach are considered and compared based on processing performance and ease of implementation.
| Primary Keyword (Mandatory) | Trigger |
|---|---|
| Secondary Keyword (Optional) | Reconstruction |
| Tertiary Keyword (Optional) | Processor architectures |
