Financial modeling techniques are used in a wide range of applications to
model trends in the equity marketplace, carry out portfolio risk analysis and
predict future equity values, as well as numerous other tasks. A wide variety
of numerical and statistical methods are utilized to determine the most
optimal investing strategy for financial institutions, portfolio managers and
individual investors.
In general, these applications require a rapid assessment of value and risk
over a large number of stocks and portfolios. This type of critical modeling
lends itself to parallel computation because the evaluations are largely
independent of each other. A highly-parallel system like the SP is ideal for
this type of analysis because of its incredible capacity. The same speed and
power that Deep Blue uses to perform up to 300 million chess moves per second
could also be utilized to dissect an enormous amount of financial information
in a very short period of time. The SP would carry out these assessments with
blazing speed and offers a significant advantage in the marketplace.
Other applications of Deep Blue technology
 Data mining
Uncovering hidden relationships and patterns in large databases
Molecular dynamics
A valuable tool in discovering and devleoping new drugs
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