On February 12 – 15 the 19th SIAM Conference on Parallel Processing for Scientific Computing (PP20) is being held in Seattle, WA, emphasizing the intersection between high performance scientific computing and scalable algorithms, architectures, and software.
On the morning of February 13, Reservoir Labs’ Dr. Muthu Baskaran presents “ENSIGN: A Framework for High-performance Tensor Decompositions.” This talk is a part of PP20’s “Frameworks/Libraries for High-Performance Tensor Computations.”
ENSIGN is a high performance tensor decomposition framework developed by Reservoir Labs that is intended to transition tensor methods into a practical data science tool for addressing modern data analytics problems at scale. It has been applied successfully to problems in cybersecurity and geospatial analytics, most recently assisting in the cybersecurity of SCinet 2019 where ENSIGN was able to uncover otherwise undetected patterns of distributed attacks and other malicious activities.
For more information on Reservoir’s ENSIGN technology or tensor decomposition methods we invite you to contact us.