AWS HPC Blog
Tag: FSI
Harnessing the power of agent-based modeling for equity market simulation and strategy testing
Financial professionals: Simulate realistic market conditions with Simudyne’s agent-based modeling on AWS and Red Hat OpenShift. Learn how HKEX leverages these insights.
Strategies for distributing executable binaries across grids in financial services
You can boost the performance of your compute grids by strategically distributing your binaries. Our experts looked at lots of strategies for fast & efficient compute grid operations – to save you some work.
Running FSI workloads on AWS with YellowDog
Financial services firms: we stress-tested YellowDog’s HPC environment to see if it could handle a 10m task batch at 3,000 tasks per second. Check out the results.
Harnessing the scale of AWS for financial simulations
Struggling with long compute times for numerical simulations in finance? See how AWS makes it simple to leverage the cloud for large-scale financial modeling. We walk through a real example using QuantLib and Monte Carlo methods.
Financial services industry HPC migrations using AWS ParallelCluster with Slurm
In this post, we’ll walk you through how banks and other financial services firms migrate or burst their grid workloads onto AWS using AWS ParallelCluster and the Slurm scheduler.
Real-time quant trading on AWS
In this post, we’ll show you an open-source solution for a real-time quant trading system that you can deploy on AWS. We’ll go over the challenges brought on by monitoring portfolios, the solution, and its components. We’ll finish with the installation and configuration process and show you how to use it.
A serverless architecture for high performance financial modelling
Understanding deal and portfolio risk and capital requirements is a computationally expensive process that requires the execution of multiple financial forecasting models every day and in often in real time. This post describes how it works at RenaissanceRe, one of the world’s leading reinsurance companies.