The leading knowledge platform for the financial technology industry
The leading knowledge platform for the financial technology industry

A-Team Insight Blogs

NovaSparks Adds Data Feeds; Outlines FPGA Matrix Architecture; Details Performance

NovaSparks has added support for an additional five data feeds to its Gen2 appliance, while at the same time outlining the FPGA matrix architecture that the appliance implements in order to handle multiple feeds and application functionality, and detailing its latency profile.

The new data feed support comprises feeds from Bats (BYX and BZX), Direct Edge (NG-A and NG-X), NYSE Arca, the London Stock Exchange (Level 2) and Turquoise (Level 2). Support for Nasdaq, CME and Eurex was already available. NovaSparks says the choice of the added data feeds was driven by customers, though it is currently focusing on providing support for equities and futures exchanges in Europe and North America.

Gen2 is a 2U rackable appliance based on FPGAs from Altera – up to three per appliance. Multiple appliances can be inter-connected to scale up the matrix to support multiple data feeds and trading functions.

The company has released data detailing the latency profile of its matrix architecture. “Our FPGA Market Data Matrix Feed Handlers process the cash equity feeds in less than 700 nanoseconds even during micro bursts and message volumes peaks,” says NovaSparks CEO Yves Charles.

The chart below details the latency observed when a full day of ITCH message data – some 280 million packets – is replayed in just eight minutes.

 

NovaSparks attributes the consistency of latency under load to the matrix architecture’s  implementation of a full set of functions in multiple FPGAs, as opposed to other approaches where FPGAs are used simply for basic acceleration, such as network protocol handling and data transformation, while most of the processing is performed on a traditional CPU.

In the NovaSparks architecture, FPGAs are used for UDP, IP and network handling, message parsing, symbol filtering, book building and fan out to downstream applications. Yves says that the company will this month roll out a proof of concept implementation running trading algorithms on FPGAs within the matrix.

Related content

WEBINAR

Recorded Webinar: Market data in the cloud

The Covid-19 pandemic has created new demand for financial information delivery infrastructure to accommodate the many trading and support personnel now working from home (WFH). For many firms, new cloud delivery and hosting capabilities offer a viable solution for supporting these staff, accelerating demand for cloud-based market data delivery infrastructures. This development has thrown up...

BLOG

QuantHouse Boosts Backbone Capacity to 100G Using Arista

Iress’s QuantHouse market data and infrastructure subsidiary has upgraded its data centre backbone connections globally to 100 Gigabit capacity to address the rigours of the ongoing market volatility. The upgrade is part of a wider infrastructure enhancement aimed at meeting three business objectives designed to enhance performance and resilience while adding customer self-service capabilities. As...

EVENT

RegTech Summit London

Now in its 5th year, the RegTech Summit in London explores how the European financial services industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Corporate Actions USA 2010

The US corporate actions market has long been characterised as paper-based and manually intensive, but it seems that much progress is being made of late to tackle the lack of automation due to the introduction of four little letters: XBRL. According to a survey by the American Institute of Certified Public Accountants (AICPA) and standards...