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

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

Subscribe to our newsletter

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.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

AiMi Unveils Agentic Workflow to Automate Mandatory Market Changes

AiMi, specialists in AI for trading and market data operations, has launched an end-to-end agentic workflow designed to streamline how firms manage mandatory changes from exchanges and market data vendors. The new capabilities build on AiMi’s existing AI-enabled platform, introducing a dynamic suite of digital agents that automate the tracking, review, and triage of market...

EVENT

Eagle Alpha Alternative Data Conference, Spring, 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

Trading Regulations Handbook 2022

Welcome to the third edition of A-Team Group’s Trading Regulations Handbook, a publication designed to help you gain a full understanding of regulations that have an impact on your trading operations, data and technology. The handbook provides details of each regulation and its requirements, as well as ‘at-a-glance’ summaries, regulatory timelines and compliance deadlines, and...