Exploring FPGA in-storage computing for Supernova Burst detection in LArTPCs

Jovan Mitrevski,Benjamin Hawks,Tejin Cai, Peng Ding, Tom Junk, Kate Scholberg, Jieran Shen,Nhan Tran,Michael Wang, Tingjun Yang

Exploring FPGA in-storage computing for Supernova Burst detection in LArTPCs(1900)

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摘要
using a memory look-up table addressed with nine to ten most significant non-zero bits. At 200 MHz internal clock, our demo core reaches a throughput of 200 M pairs/s/core, faster than a typical 2 GHz micro-processor by about a factor of 10. Temperature and power consumption of FPGAs were also lower than those of micro-processors. Fast and convenient, FPGAs can serve as alternatives to time-consuming micro-processors for space charge simulation.
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supernova burst detection,fpga,in-storage
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