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High-Performance Computing in Financial Services
This chapter explores the use of high-performance computing in financial services to model various types of risk accurately, like credit risk and market risk. It discusses complex risk models, techniques such as Monte Carlo simulation, and the significance of large-scale HPC. The conversation also delves into AWS services, workload types, use cases in capital markets, system considerations, spot computing, and strategies to reduce instance initialization time for dynamic workloads.