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If there are pipelines
and reactors and
seaports involved
KLIPSPRINGER also
estimates the long-term
impact of electrical
shortages, logistical
shortcomings, and
petroleum / natural gas
shortages.
Note that determining where to write the thread's results takes some thought as one must avoid any
implicit or explicit assumptions about ordinality. It is critical to avoid having threads contend for
pieces of RAM or disk (database rows or even pages). Depending on your application logic, you will
almost certainly want to consider how to know all threads are finally complete AND what threads
failed.
Presently, KLIPSPRINGER is happy to send the problem off to a cloud like Microsoft Azure to take
advantage of lots of processors. There is a fourth choice: we have already calculated many scenarios.
What we have not completed (yet) is a sensitivity analysis. For example, does it matter significantly
if inflation in Iran is 11.9% or 11.7% instead of 11.8. How about 11% or 13%?