no code implementations • 7 Feb 2023 • Miroslav Kosanic, Marija Ilic, Daniel Baker, Harvey Scribner, Casey Cathey
We suggest that this improved time-dependent bias estimate can be used to reduce the cost of frequency regulation needed to meet industry standards requested by the North American Electric Reliability Corporation (NERC).
no code implementations • 5 Feb 2021 • Miroslav Kosanic, Veljko Milutinovic
This paper reviews the most notable works applying machine learning techniques (ML) in the context of geophysics and corresponding subbranches.
no code implementations • 20 Sep 2020 • Veljko Milutinovic, Erfan Sadeqi Azer, Kristy Yoshimoto, Gerhard Klimeck, Miljan Djordjevic, Milos Kotlar, Miroslav Bojovic, Bozidar Miladinovic, Nenad Korolija, Stevan Stankovic, Nenad Filipović, Zoran Babovic, Miroslav Kosanic, Akira Tsuda, Mateo Valero, Massimo De Santo, Erich Neuhold, Jelena Skoručak, Laura Dipietro, Ivan Ratkovic
This article starts from the assumption that near future 100BTransistor SuperComputers-on-a-Chip will include N big multi-core processors, 1000N small many-core processors, a TPU-like fixed-structure systolic array accelerator for the most frequently used Machine Learning algorithms needed in bandwidth-bound applications and a flexible-structure reprogrammable accelerator for less frequently used Machine Learning algorithms needed in latency-critical applications.
Distributed, Parallel, and Cluster Computing