With:
• Pat Aughavin, Senior Business Development Director, Financial Services, AMD
• Vincent Berkhout, Client Engagement Director, COLT
• Michael Cooper, Head of Product Technology, BT Global Financial Services
• Andrew Graham, IT Architect, Financial Markets, IBM UK
• Shawn McAllister, Vice President, Architecture, Solace Systems
• Geno Valente, Vice President, Marketing and Sales, XtremeData, Inc
• Nigel Woodward, Head of Financial Services, Europe, Intel

What developments in processing capabilities should firms adopt to support algo/auto trading?

Aughavin: While many companies are investigating parallel programming, they are proceeding methodically because it can be difficult to maintain and support. However, companies recognise the potential of accelerated computing and how it can reduce power consumption and ease infrastructure complexity. In recent months, select companies have launched accelerated computing initiatives which are specifically designed to help technology partners deliver open, flexible and scalable silicon designs. These solutions can significantly boost performance in compute-intensive applications. A key part of such solutions is a stable platform which will help foster dynamic development, enabling technological differentiation that is not economically disruptive at a time when accelerated computing is moving to the mainstream.

Cooper: Alternatives to traditional horizontal and technology upgrade approaches are beginning to emerge that address complex event processing (CEP), capacity and performance requirements. Network-attached compute appliances seek to address processing capacity and performance by offloading processing from existing systems to an optimised appliance. Additionally, some of these appliances mitigate the overheads frequently incurred with platform and technology upgrades by minimising systems modifications and application development. In addition to meeting existing application performance requirements, these applications can service multiple systems while providing significant scalability and capacity for growth. They will also address other issues like power consumption and cooling requirements, are relatively straightforward to deploy and can prolong the life of the existing systems estate. As a consequence they enable new approaches to be developed and new functionality to be supported that would not have been feasible on existing platforms. ...

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