Gunnar Morling dives into the tricks that the fastest 1BRC solutions used to process the challenge’s 13 GB input file within less than 2 secs — including parallelization and efficient memory access, optimized parsing routines using SIMD and SWAR, and custom map implementations.
Gunnar Morling is an open-source software engineer in the Java and data streaming space, currently working as a Technologist at Confluent. Previously, he helped to build a realtime stream processing platform based on Apache Flink and led the Debezium project, a distributed platform for change data capture. He is a Java Champion and has founded multiple open source projects such as Hardwood, kcctl, JfrUnit, and MapStruct. Gunnar is an avid blogger (morling.dev) and has spoken at various conferences like QCon, Java One, and Devoxx. He lives in Hamburg, Germany.
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