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: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

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

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

FATCA – The Time to Act is Now

The US Foreign Account Tax Compliance Act – aka FATCA – raised eyebrows when its final regulations requiring foreign financial institutions (FFIs) to report US accounts to US tax authorities were published last year. But with the exception of a few modifications, the legislation remains in place and starts to comes into force in earnest...