no code implementations • 17 Mar 2023 • Mikhail Genkin, Frank Dehne, Anousheh Shahmirza, Pablo Navarro, Siyu Zhou
This paper presents KERMIT - the autonomic architecture for big data capable of automatically tuning Apache Spark and Hadoop on-line, and achieving performance results 30% faster than rule-of-thumb tuning by a human administrator and up to 92% as fast as the fastest possible tuning established by performing an exhaustive search of the tuning parameter space.
no code implementations • 29 Nov 2019 • Pablo Navarro, José Ignacio Orlando, Claudio Delrieux, Emmanuel Iarussi
Finding point-wise correspondences between images is a long-standing problem in image analysis.
