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

SunGard Accelerates Adaptiv Analytics with GPU Technology

Subscribe to our newsletter

SunGard has accelerated the speed of calculations within its Adaptiv Analytics solution by adding an underlying hardware layer of graphical and computer processing units to the software. The hardware, used in conjunction with the software, is designed to provide rapid credit risk analytics that can support growing demand for scenario-based risk and sensitivity analysis, as well as complex calculations that must be made to satisfy regulatory requirements.

The hardware layer, a card including both graphical processing units (GPUs) and computer processing units (CPUs), is not SunGard’s first attempt to combine Adaptiv Analytics with GPU technology, but it is the company’s first commercial offering in this space.

Mat Newman, executive vice president at SunGard and lead of the company’s Adaptiv business, explains: “A few years ago, Adaptiv Labs looked at the potential of GPUs. A proof of concept confirmed they could provide good calculation speeds and throughput. We talked to a few customers about the technology, but they were not sure how it could be integrated into their architectures. We needed to make the technology more palatable, so we designed a solution that includes an additional library in the software that can access the GPU technology. There is no need for specialist GPU programmers and a programmer can write risk calculations that take advantage of both the GPU and CPU technologies.”

While the processing power of CPU technology has been sufficient for calculations for many years, Newman says forthcoming regulations including more complex calculations require more processing power. SunGard suggests that using the hardware card, firms can carry out complex calculations such as credit valuation adjustment in near real-time, processing up to 100 million valuations per second, compared to average processing using a standalone CPU platform of approximately 22 million valuations per second.

Newman points out that as well as speeding up calculations and supporting more stress testing scenarios in the same time as was previously possible using CPU technology, the inclusion of GPUs can provide hardware cost efficiencies when the same amount of calculations are made in the same amount of time. The hardware card for Adaptiv Analytics is available immediately and can be deployed in house with the software or hosted by SunGard as part of its Adaptiv Analytics managed service.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to organise, integrate and structure data for successful AI

Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are limited only by the imaginations of individual organisations. What they all require to achieve...

BLOG

Data Management Summit New York Takes Deep Dive into Modern Data Landscape

The 15th annual A-Team Group Data Management Summit New York City kicks off tomorrow with one theme prominent in the day of discussions, debates and keynote addresses: data quality. Without good quality data organisations can’t hope to achieve their objectives, be they implementation of artificial intelligence applications, automation of essential workflows or compliance with regulatory...

EVENT

Eagle Alpha Alternative Data Conference, New York, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Institutional Digital Assets Handbook 2024

Despite the setback of the FTX collapse, institutional interest in digital assets has grown markedly in the past 12 months, with firms of all sizes now acknowledging participation in some form. While as recently as a year ago, institutional trading firms were taking a cautious stance toward their use, the acceptance of tokenisation, stablecoins, and...