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

STAC Redline and Kx Benchmarks Illustrate Leverage of Hardware Advances

Subscribe to our newsletter

Two benchmark tests from STAC relating to low-latency trade execution and analytics illustrate how applications are benefiting from hardware advances to boost performance. The tests – on Redline Trading Solutions’ InRush market data platform, and on Kx Systems’ kdb+ database – demonstrate different approaches to leveraging hardware functionality related to Intel’s latest Xeon “Sandy Bridge” microprocessors.

In the case of the latest STAC-T1 proposed ‘tick-to-trade’ benchmark tests, while Redline’s InRush 3 platform is continuously optimised to run on Intel multi-core chips as they are improved, configuring the server hardware to implement Dell Processor Acceleration Technology (DPAT) contributed to the low latency and jitter observed.

DPAT is a free optional bios firmware update available exclusively for select Dell servers allowing control of the Turbo Boost feature of Intel chips, allowing a higher processing frequency to be locked in for a set number of active cores. Processing speed is increased, reducing latency, and jitter is reduced because the chip frequency is consistent, unlike the normal usage of Turbo boost.

Running on a Dell PowerEdge R720 server, with a total of 16 cores operating continuously at 3.3GHz (boosted from a nominal 2.9GHz), STAC benchmarked InRush 3 with mean latency of 5.2 microseconds and a standard deviation of 1.2 microseconds, handling a simulated market data feed running at 8x normal messaging rate. An earlier STAC-T1 benchmark conducted on an HP server running without Turbo Boost, delivered mean latency of 6.1 microseconds, with a standard deviation of 1.4 microseconds.

In contrast to the performance boost provided by the straightforward implementation of DPAT, Kx Systems put considerable effort into optimising the latest 3.1 release of its kdb+ database to take advantage of parallel multi-core processing and new instructions that are built into Intel’s latest processors.

STAC exercised kdb+ 3.1 using tests related to its STAC-M3 ‘time series analysis’ benchmark standard. In particular, the latest kdb+ performed the NBBO test (which creates a daily national best/bid offer across U.S. exchanges for all symbols – requiring heavy read/write activity) in just 32.6 seconds, down from the 5.2 minutes that kdb+ 2.7 took in 2011 (on a similar hardware stack).

Kx’s chief strategist Simon Garland notes that the NBBO test in particular benefits from multi-core processing, since processing of symbols can be parallelised across cores.

Garland also points to performance boosts from the leverage of new Intel instructions in 3.1. These include Streaming SIMD Extensions (SSE), which increase performance when the same set of operations is repeated on multiple data objects, and Advanced Vector Instructions (AVX), designed to improve floating point computation.

Instead of relying on compiler support for these new instructions, Garland says that Kdb+ makes use of them in specific optimised ways, and has been built to auto-configure itself to work across servers that may or may not support them.

These latest benchmarks – for both Redline and Kx – illustrate how mainstream – i.e. Intel x86 architecture – platforms are boosting application performance, reducing the need to adopt more exotic hardware acceleration techniques, such as FPGA or GPU deployment.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The future of market data – Harnessing cloud and AI for market data distribution and consumption

Market data is the lifeblood of trading, but as data volumes grow and real-time demands increase, traditional approaches to distribution and consumption are being pushed to their limits. Cloud technology and AI-driven solutions are rapidly transforming how financial institutions manage, process, and extract value from market data, offering greater scalability, efficiency, and intelligence. This webinar,...

BLOG

The Digital Last Mile: Reimagining Trader Workflows for the AI Era

As trading desks evolve, firms are turning to AI, interoperability, and modern technology platforms to create smarter, more connected environments that reduce friction for traders, enhance decision-making, and allow users to interact seamlessly with data and tools. However, one of the biggest hurdles they face is the sheer weight of the past. Decades of bespoke...

EVENT

TradingTech Summit New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Dealing with Reality – How to Ensure Data Quality in the Changing Entity Identifier Landscape

“The Global LEI will be a marathon, not a sprint” is a phrase heard more than once during our series of Hot Topic webinars that’s charted the emergence of a standard identifier for entity data. Doubtless, it will be heard again. But if we’re not exactly sprinting, we are moving pretty swiftly. Every time I...