London, February 1-st, 2020. The Massively Parallel Processing version of OntoNet™ is available for commercial applications at the Bologna-based CINECA Supercomputer Center. MPP OntoNet™ has been developed by Ontonix in collaboration with US-based SAIC, a premier technology integrator solving complex modernization and readiness challenges across the defense, space, federal civilian and intelligence markets.
Optimum Complexity utilizes OntoNet™ to power its long/short investment strategies and to research advanced applications of Quantitative Complexity Management in finance.
The key application of MPP OntoNet™ is in crisis anticipation, early warnings and systemic risk analysis on a very large-scale, in the range of hundreds of thousands to millions of variables. The goal is to understand better and mitigate systemic risks.
“We are proud to collaborate with CINECA in making ultra large-scale Quantitative Complexity Management (QCM) analysis available to the financial industry”, said Dr. J. Marczyk, the co-founder and Optimum’s Chief Technical Officer. “What threatens the resilience and stability of our global economy and global finance are systemic risks. While systemic risks have become known to the public after the 2008 economy meltdown, very little has been done in terms of regulation, not to mention analytical tools for assessing, measuring and managing systemic risks” he continued. “With MPP OntoNet™ we can:
- Measure resilience, complexity, understand the dynamics of systemic risks
- Identify fragility hotspots
- Provide early-warnings of malfunctions, pre-crisis or pre-collapse conditions
for a wide class of systems:
- ICT networks
- Large trading desks
- Systems of funds
- Large ecosystems of corporations, supply chains, entire market sectors
- The entire global economy
Information of this nature is particularly interesting for large Asset Management companies, investment banks, central banks, regulators and government. With the QCM we are equipped to identify anomalies in any of these systems without resorting to Machine Learning. Complex systems can fail in countless ways and it is practically impossible to define and to learn to recognize them. With the QCM the problem of anomaly detection is approached in a totally different light, which does not require expensive and lengthy classification and learning” he concluded.
CINECA is the largest Supercomputing Center in Italy, Since the 1960s Cineca’s supercomputers are among the most important in Europe and worldwide, always present in the Top 500 list of the most powerful supercomputers in the world. Today Cineca’s flagship supercomputer is MARCONI, a highly parallel system that in November 2019 was ranked 19th in the Top500. Visit website.
Science Applications International Corporation (SAIC) is a premier technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 15,000 employees worldwide. For more information visit website.