About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

STAC Benchmarks GPUs for Options Risk Analytics

Subscribe to our newsletter

STAC has for the first time published results for its STAC-A2 options risk analytics benchmarks running on Nvidia graphics processing units (GPUs) that point to a near order of magnitude speed up compared to traditional x86 CPUs.

STAC-A2 is a suite of benchmark tests developed by market participants that measure the time to complete the calculation of a set of Greeks values for an option (which measure the sensitivity of the price of an option to changes, such as price of the underlying asset, volatility, interest rates, etc.). Thus, Greeks – which should be recalculated as an options price varies – provide a risk management tool for assessing market impacts on a portfolio of options.

In order to conduct the benchmarks, STAC built a system based on an IBM server with two Intel ‘Sandy Bridge’ x86 processors and two Nvidia K20Xm GPUs. Nvidia coded the STAC benchmarks using the CUDA toolkit, which is designed to implement parallel high performance computing workloads.

Among the several benchmarks calculated, results for STAC-A2.?2.GREEKS.TIME – the time taken to calculate a set of Greeks – showed a 9x improvement compared to benchmarks run on the same class of x86 processors, without GPU acceleration.

While the results are simply indicators of performance, they do point to the value of GPUs to handle complex calculations, which increasingly need to be performed in real time as part of intelligent trading strategies.

As such, GPUs complement other acceleration approaches, such as FPGAs, which have been widely implemented to perform data manipulation functions for low-latency market feed handling and trade execution. Future trading system architectures may well incorporate both FPGAs and GPUs alongside traditional CPUs to provide a best of breed platform for all aspects of a trading strategy.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

Platform-Led Strategies for Solving Market Data Fragmentation, Cost and Governance Challenges

For any Chief Data Officer or Head of Trading Technology, the line item for market data is both one of the largest and most complex to manage. The challenge is no longer simply about plumbing feeds into applications. It is a strategic imperative to control spiralling costs, integrate a chaotic mix of traditional and alternative...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

The Data Management Challenges of Client Onboarding and KYC

This special report accompanies a webinar we held on the popular topic of The Data Management Challenges of Client Onboarding and KYC, discussing the data management challenges of client onboarding and KYC, and detailing new technology solutions that have the potential to automate and streamline onboarding and KYC processes. You can register here to get immediate...