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

Upcoming Webinar: Agility as Alpha: How Trading Infrastructure Determines Who Wins in Volatile Markets

Date: 21 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Tariff shocks, geopolitical realignment and macroeconomic regime shifts are redrawing the investment landscape faster than most firms’ technology stacks can keep up. For hedge funds and asset managers, the ability to move quickly into new asset classes, geographies or...

BLOG

From Broker Bias to Independent Insight: The Case for Cloud-Native TCA

For years, the path of least resistance for buy-side transaction cost analysis (TCA) was simple: let the broker do it. Historically, asset managers have relied on their execution counterparties to provide post-trade reporting. It was a workflow of convenience. Brokers executed the trades and subsequently provided the analysis on how well they performed. However, this...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

What the Global Legal Entity Identifier (LEI) Will Mean for Your Firm

It’s hard to believe that as early as the 2009 Group of 20 summit in Pittsburgh the industry had recognised the need for greater transparency as part of a wider package of reforms aimed at mitigating the systemic risk posed by the OTC derivatives market. That realisation ultimately led to the Dodd Frank Act, and...