An author describes a SIMD-based CSV parser that processes 64 characters simultaneously using vectorized classification and bitwise operations to identify structural characters like commas, quotes, and newlines. The parser employs dual lookup tables indexed by nibbles to classify bytes efficiently, a technique derived from the simdjson paper on JSON parsing.
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An author describes a SIMD-based CSV parser that processes 64 characters simultaneously using vectorized classification and bitwise operations to identify structural characters like commas, quotes, and newlines. The parser employs dual lookup tables indexed by nibbles to classify bytes efficiently, a technique derived from the simdjson paper on JSON parsing.