STAC-A2 on AWS: Initial price-performance comparisons of EC2 instances
kdb+ 3.3 on a Lenovo x3850 with Haswell EX
Metamako's MetaApp32 under STAC-N1
Kx Systems kdb+ 3.2 with Intel Enterprise Edition for Lustre 2.2 and DDN SFA12KX-40 storage subsystem
Mean half-round trip latency through aggregation and layer 1 of just 0.06 microseconds.
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
Judging by attendance and feedback, the Spring 2015 STAC Summits were a huge success.
STAC Summits bring together industry leaders from top financial and technology firms to discuss ways to meet important engineering challenges in finance using innovative technologies. This round of Summits had lively discussions on the technology impact of the intensifying search for alpha, new programming languages and new hardware for quantitative computing, the latest low-latency hardware, using technologies like Spark and Lustre for strategy backtesting and tick data, what cybersecurity means for high-speed trading, data on how public clouds handle high-performance workloads, and much <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