Latest News
Solution sets single-server records in cold and warm runs of the large Greeks benchmark
Appsbroker delivers first public cloud solution with publicly released STAC-A2 results.
Ice Lake solution computed Greeks at 1.5x to 2.1x the speed of Cascade Lake
First ever STAC-A2 audit results from FPGA accelerator boards
Lenovo 4-socket server sets 4 records with latest Intel® CPU and Optane PMem
First STAC-M3 results from new generations of CPU and Optane Persistent Memory
Featured Events
Global STAC Live, Spring 2021
Following our highly attended online events in 2020, STAC is going global, online, and live again this May 18 & 19.
Join us for live panels, briefings, demos, and exhibits that address the most important technical challenges in analytics technology, low-latency infrastructure, and command & control. Interact directly with speakers, exhibitors, and your peers – all without leaving your home or office.
Topics at STAC events generally map to three areas:
- Analytics technology. Architectures for big data and big compute workloads such as AI (ML & DL) model training, strategy research & backtesting, tick analytics, alt data processing, market and credit risk, portfolio optimization, surveillance, and compliance.
- Low-latency infrastructure. Architectures for
Recent Blogs
The financial technology community has one responsibility in the COVID-19 crisis that only it can fulfill.
What will happen if all the major banks burst out to a handful of public clouds at the same time to meet the enormous computing requirements of new regulations? Your kids may not be pleased....
The STAC-TS Working Group has poured a lot of effort into developing standards and software for demonstrating timestamp accuracy to the satisfaction of European regulators concerned with RTS 25 of MiFID 2. Much of that effort has concerned software-application timestamps. App timestamping is central to many firm's plans but is one of the most misunderstood issues with RTS 25.
Hot Topics
Artificial Intelligence
Using neural and non-neural techniques to automate prediction and correlation
Quant finance (big data/big compute)
Making both compute- and data-intensive analytics faster and more cost effective
