MatLogica Copyright 2022 MATLOGICA A PARALLEL COMPUTING SUPERCHARGER 4 50% Lower Grid/Cloud costs Speed-ups of 6-100X For pricing & Risks 3-4X Faster IT turnaround A library that supercharges quant analytics and enables fast Automatic Adjoint Differentiation (=sensitivity/back-propagation), with only small changes to the code XVA Modelling Machine Learning Enabling AAD for CUDA Live Risk Sensitivities Curve Construction Exotic Pricing Scripting Languages ‘What if?’ Analysis Monte-Carlo simulation EPE (expected exposures) = Lower CO2