[3] Similarly, he proposed optimistic concurrency control in 1981, now a key principle in memory and database transaction systems, including MySQL, Apache CouchDB, Google's App Engine, and Ruby on Rails.
[5] In 1974, Kung and Traub published the Kung-Traub algorithm for solving non-linear equations,[6] relying on a key insight that Isaac Newton had overlooked when working on the same problem.
Kung's other research contributions during this time include the iWarp system architecture, optimistic concurrency control, read-copy-update a mutual exclusion synchronization method used in the Linux kernel, and a communication-avoiding optimal distributed matrix multiplication algorithm.
His work on geographic wireless data routing with Brad Karp produced the GPSR algorithm, a technology underlying ad-hoc and vehicular networks.
Renewed interest in systolic arrays for deep learning has led Kung to again contribute to hardware for artificial intelligence, including distributed and embedded low-precision neural networks.