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: Transforming Data Experiences in Quantitative Research and Trading

For quantitative researchers and quant trading teams at banking and capital markets firms, the ability to access, integrate, and share data is critical. Data and how teams collaborate with data underpins the ability to generate alpha, perform execution analyses, and provide a modern and differentiated client experience. However, for most banks, legacy technology stacks and...

BLOG

Pico Launches Test Lab to Enable Replication of Real-World Trading Environments

Pico, the technology services, software, data and analytics vendor, has launched the Pico Performance Lab, offering high-performance testing resources to financial services firms. The Lab provides customers with the ability to implement, simulate and test Pico’s full-stack trading technology solution, including infrastructure, connectivity, market data, trading software, critical timing services and Corvil Analytics. The Lab...

EVENT

RegTech Summit New York

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

GUIDE

ESG Handbook 2023

The ESG Handbook 2023 edition is the essential guide to everything you need to know about ESG and how to manage requirements if you work in financial data and technology. Download your free copy to understand: What ESG Covers: The scope and definition of ESG Regulations: The evolution of global regulations, especially in the UK...