The Private Equity Associate Certification
Master AI and Machine Learning: From Neural Networks to Applications
Overview
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Explore a 34-minute Java conference talk on lightweight relations and efficient multi-map implementations. Delve into innovative solutions for overcoming limitations of existing multi-maps, drastically improving memory footprint without sacrificing storage, lookup, and iteration efficiency. Learn about a type-safe hybrid map/multi-map data structure that adds many-to-many functionality to collection libraries without bloat. Discover techniques for achieving 5x smaller memory footprints, enabling processing of larger data sets. Examine how to enhance HotSpot with intrinsic support for complex bitmap processing and leverage lightweight relations in the Stream API for improved parallel processing. Gain insights into extending the performance envelope of collections for memory-intensive data applications in Java's standard library without code base bloat.
Syllabus
Lightweight Relations with Michael Steindorfer @loopingoptimism
Taught by
Java