STAC-A2 on AWS: Initial price-performance comparisons of EC2 instances
kdb+ 3.3 on a Lenovo x3850 with Haswell EX
Kx Systems kdb+ 3.2 with Intel Enterprise Edition for Lustre 2.2 and DDN SFA12KX-40 storage subsystem
STAC-A2 on IBM Power System S824 with IBM Power8 processors
First STAC-M3 results on a parallel file system
Solution sets 4 new STAC-M3 records
Cray submits unaudited results for liquid-cooled, dense compute node
2-socket Power8-based stack sets multiple performance records
Leading-edge performance for this amount of CPU cores and server memory on an Intel architecture
The Spring 2015 STAC Summits are now open for registration. STAC Summits are the leading forums where innovative technologies come face-to-face with important engineering challenges in finance.
2015 is not short on challenges. The sell side needs to free up capital by demonstrating better risk management to regulators, while preserving capital by reducing costs. The buyside is pursuing new data and analytics, while aggressively automating not just trade execution--where robots are driving latency lower across more asset classes and geos--but also the development of trading strategies themselves. And both sides face new demands to guard against detrimental actions of insiders and outsiders. <more>
Some people learn their word-of-the-day from calendars and web sites; I am lucky enough to interact with financial services technologists who bring their own colorful language. As an example, the response I got from one when I asked about SQL-on-Hadoop: chimera.
Our recent research on “big data” use cases uncovered many large financial services firms using Hadoop and other technologies to build “multi-tenant” analytics platforms—that is, shared environments meant to support multiple independent applications. In some cases, these platforms are being built in advance of demand, trying to preempt individual businesses from deploying