End of the bumping grind?

In quest for processing power, banks are choosing 'unnatural' calculus over fancy chips


If you were trying to dramatically speed up risk and sensitivity calculations – a process that traditionally involves thousands of repetitive sums, with the inputs being changed marginally, or ‘bumped' each time – the output of a single calculation may not seem the most promising place to start. In the slightly odd world of adjoint algorithmic differentiation (AAD), though, it is the key to running calculations tens, hundreds or even thousands of times faster than the most popular rival methods.

To continue reading...

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an indvidual account here: