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

Summit Compute Panel – Mantara’s Arnold on Leveraging Technology

Subscribe to our newsletter

Concluding our coverage of last month’s Low-Latency Summit in New York City, the compute panel allowed Mantara chief architect David Arnold to discuss how the trading application vendor leverages technologies to reduce latency.  Mantara provides a platform for market data delivery, order routing and pre-trade risk, with customers requiring performance across the latency spectrum.  As such, the company keeps a strong focus on underlying technologies, and looks to leverage them as much as possible.

Arnold noted that the company has divided its technology approach into two streams, based on the latency needs of its customers.  For those requiring less than 100 microseconds, it has a software platform running on commodity x86 hardware.  For below 10 microseconds, it has a hardware/firmware offering.

For its software platform, Mantara focuses on the application architecture, paying attention to such details as binding threads to cores, keeping inter-thread communication to cores on the same chip, and making use of kernel bypass to deliver network traffic direct to the application.  Using these techniques, latencies as low as 10 to 20 microseconds can be achieved.

For the sub-10 microsecond world, where improvements in the 100s of nanoseconds are sought, Mantara relies on a hardware PCIe card, hosting a packet processor, which executes functions in firmware.

Packet processors are general purpose CPUs that have been optimised to perform I/O functions, such as memory management, packet steering, and network interfaces.  Mantara uses packet processors from GE Intelligent Platforms, and also leverages network stack technology from 6Wind.

Arnold noted that a packet processor direction provides good performance at the right price point, and that they approach FPGAs in terms of performance, but offer more flexibility, because they can be programmed using traditional techniques.

Mantara writes its code in C, rather than C++, in order to keep more control over the execution of it – there are “no surprises” with C, Arnold said.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Enhancing trader efficiency with interoperability – Innovative solutions for automated and streamlined trader desktop and workflows

Traders today are expected to navigate increasingly complex markets using workflows that often lag behind the pace of change. Disconnected systems, manual processes, and fragmented user experiences create hidden inefficiencies that directly impact performance and risk management. Firms that can streamline and modernise the trader desktop are gaining a tangible edge – both in speed...

BLOG

SimCorp Taps Axyon AI to Embed Predictive Analytics into SimCorp One

SimCorp, a global leader in investment management technology, has announced a strategic partnership with Axyon AI, a fintech specialist in AI-driven predictive analytics. The collaboration will integrate Axyon AI’s technology directly into the SimCorp One platform, aiming to provide portfolio managers with seamless access to AI-powered signals and alpha-generation tools. The move addresses a critical...

EVENT

Eagle Alpha Alternative Data Conference, London, 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

Entity Data Management Handbook – Second Edition

Entity data management is this year’s hot topic as financial firms focus on entity data to gain a better understanding of customers, improve risk management and meet regulatory compliance requirements. Data management programmes that enrich the Legal Entity Identifier with hierarchy data and links to other datasets can also add real value, including new business...