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 Points to Everest Boost

Subscribe to our newsletter

Via a report sponsored by data feed handler specialists SR Labs, the benchmarkers at STAC have just announced data for initial tests run on Intel’s recently-introduced Everest chip. Compared to Intel’s standard Westmere chip, one data point suggests a 22% reduction in mean latency.

Everest – or Intel’s Xeon X5698 – is a dual core chip, with each core running at 4.4 Ghz, compared to the X5687 (aka Westmere), with four cores at 3.6 GHz. Intel describes Everest as an “off roadmap” chip designed for “very specific, niche high performance computing applications” while still “running within warranty covered norms, specifications and safe thermal envelope.”

The tests were run using SR Labs’ MIPS (Market Data In Process System) feed handling software. While multi-core chips are often leveraged to boost application performance, some applications are inherently single-threaded, and so benefit more from increased speed of each core. Market data feed handlers and exchange matching engines are two such applications.

For the geeks, the two “stacks under test” comprised:

– SR Labs MIPS In-Process Market Data Line Handler for TVITCH 4.1 
– CentOS 5.5, 64-bit Linux 
– IBM x3650 Server 
– Myricom 10G-PCIE2-8B2-2S Network Interface 
– Processor: 
SUT A: 2 x quad core Intel Xeon 5687 3.60 GHz (“Westmere”) 
SUT B: 2 x dual core Intel Xeon 5698 4.40 GHz (“Everest”)

The test harness for this project incorporated TS-Associates’ TipOff and Simena F16 Fiber Optic Tap for wire-based observation, along with TS-Associates’ Application Tap cards for precise in-process observation. A Symmetricom SyncServer S350 was the time source for the harness.

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

Glimpse Markets Partners with Boltzbit to Embed Live-learning AI into Fixed Income Workflows

Glimpse Markets, the buy-side data sharing network focused on the cash bond markets, has partnered with Boltzbit, the deeptech AI company, to embed live-learning, agent-based AI directly into its buy-side bond data-sharing platform, as part of a multi-phase integration programme set to begin in early 2026. Rather than positioning AI as a downstream analytics layer,...

EVENT

RegTech Summit London

Now in its 9th 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

Regulatory Data Handbook 2014

Welcome to the inaugural edition of the A-Team Regulatory Data Handbook. We trust you’ll find this guide a useful addition to the resources at your disposal as you navigate the maze of emerging regulations that are making ever more strenuous reporting demands on financial institutions everywhere. In putting the Handbook together, our rationale has been...