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Traditional Von Neumann computing is falling apart in the era of explodingdata volumes as the overhead of data transfer becomes forbidding. Instead, itis more energy-efficient to fuse compute capability with memory where the datareside. This is particularly critical for pattern matching, a key computationalstep in large-scale data analytics, which involves repetitive search over verylarge databases residing in memory. Emerging spintronic technologies showremarkable versatility for the tight integration of logic and memory. In thispaper, we introduce CRAM-PM, a novel high-density, reconfigurable spintronicin-memory compute substrate for pattern matching.

Computational RAM to Accelerate String Matching at Scale