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DTSTAMP:20240626T180034Z
LOCATION:3001\, 3rd Floor
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UID:dac_DAC 2024_sess161_RESEARCH834@linklings.com
SUMMARY:ALVEARE: a Domain-Specific Framework for Regular Expressions
DESCRIPTION:Research Manuscript\n\nFilippo Carloni, Davide Conficconi, and
  Marco D. Santambrogio (Politecnico di Milano)\n\nRegular Expression (RE) 
 matching enables the identification of patterns in datastream of heterogen
 eous fields ranging from proteomics to computer security. These scenarios 
 require massive data analysis that, combined with the high data dependency
  of the REs, leads to long computational times and high energy consumption
 . Currently, RE engines rely on either (1) flexibility in run-time RE chan
 ges and broad operators support impairing performance or (2) fixed high-pe
 rforming accelerators implementing few simple RE operators. To overcome th
 ese limitations, we propose ALVEARE: a hardware-software approach combinin
 g a Domain-Specific Language (DSL) with an embedded Domain-Specific Archit
 ecture. We exploit REs as a DSL by translating them into flexible executab
 les through our RISC-based Instruction Set Architecture that expresses fro
 m simple to advanced primitives. Then, we design a speculation-based micro
 architecture to execute real benchmarks efficiently.\nALVEARE provides RE-
 domain flexibility and broad operators' support and achieves up to 34x spe
 edup and 57x energy efficiency improvements against the state-of-the-art R
 E2 and  Bluefield DPU 2 with its RE accelerator.\n\nTopic: Embedded System
 s\n\nKeyword: Embedded Software
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