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

BittWare’s TeraBox Bulks Up FPGA Processing for Trading Scale and Analytics

Subscribe to our newsletter

FPGA specialist BittWare has introduced TeraBox, an appliance that delivers up to 16 FPGAs, and targeted at high scale trading and analytics applications.

TeraBox supports up to eight BittWare S5-PCIe-DS cards, each of which hosts two Altera Stratix V FPGAs, 64 gigabytes of RAM and 16 10gE network ports. Thus, each 5U appliance can scale to 16 FPGAs, 512GB of RAM and 128 10gE ports. The appliance can also optionally host a traditional x86 processor, perhaps for monitoring or co-ordination functionality.

According to BittWare’s vice president of systems and solutions Ron Huizen, TeraBox has two likely applications in the financial markets:

* For trading systems where the entire application logic is hosted on the FPGA card, TeraBox offers high scale in one appliance, thus reducing cost of deployment compared with server-hosted approaches. Algorithmic trading and real-time risk control are applications that can likely be deployed more cost effectively with TeraBox.
* For analytics applications, such as algo back testing, pre-trade analytics and risk managemnt, TeraBox’s multiple FPGAs can work together to provide parallelised performance. Connectivity between the FPGAs can be acheived via the chassis PCIe bus, or via the 10gE network.

The latter analytics example would be to some extent breaking new ground for FPGAs, which typically have been dedicated to specific functions, such as data feed processing. For the most part, parallel analytics applications have been targeted at multi-core x86 processors, or at GPUs.

A key to deploying FPGAs for parallel applications will be the introduction of the next version of the OpenCL programming framework. OpenCL 2.0 – the specification for which was released this July – calls for support for dynamic parallelism and shared virtual memory.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Best Practices for Building High-Performance Data Infrastructures

The requirement for high-performance data systems to support trading analytics for hedge funds, high-frequency trading firms and electronic liquidity providers is well established. But the explosion in Big Data over the past several years has expanded the scope of inputs being used by these firms. At the same time, cloud technologies have added complexity to...

BLOG

Options and Code Willing Launch Two New Data Marketplace Products

Options Technology, a provider of cloud-enabled trading infrastructure, has launched two new products that leverage Code Willing’s Options Data Store and Quantify offerings. The launch stems from Options’ partnership with financial data management specialists Code Willing last year. Options Data Store enables users to ‘try and buy’ ready-to-use datasets via a user-friendly GUI, without having...

EVENT

RegTech Summit London

Now in its 6th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

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...