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NVIDIA GTC San Jose 2017

S7404 - An Approach to a High-Performance Decision Tree Optimization Within a Deep Learning Framework for Investment and Risk Management

Session Speakers
Session Description

We'll examine an innovative approach using an optimized algorithm to create a decision tree for the basis of regime dependent and pattern classification of financial and macroeconomic time-series data. Implemented in a supervised and unsupervised learning framework, the algorithm relies on the GPU for high performance computing and the host processor to further integrate the results in a deep learning framework. Also, we implement random number generation, in part, using a hardware quantum based true random number generator, balanced with the pseudo-random number generator in CUDA, so as to optimize overall speed where an exhaustive search is not feasible.


Additional Session Information
All
Talk
Finance, Deep Learning and AI, Algorithms, Accelerated Analytics
Financial Services
25 minutes
Session Schedule