We have just closed a financing round (Series B, $11M), and folks ask me what we’re planning to do with the funds. Broadly speaking, this falls into 2 categories: customer-driven product enhancement, and the distribution channel.
Our Engineering team has a lot of cool things in the works, but here’s a quick overview of some of these:
- Our largest investment will be to maintain the highest level of abstraction while dramatically increasing the run-time performance and global memory capability - well beyond what is typically encountered with interpreted very high level scripting languages typically used by domain experts (engineers, scientists, analysts).
- Broader language support: there’s a handful of popular desktop apps – the very high level languages (MATLAB, Python, R, Mathematica, etc.) – and the funding will help us accelerate development of our multi-language platform, in terms of both language breadth, and functional coverage within each language.
- Advances in automatic parallelization: having been in the marketplace for a couple of years now, we have confirmed the fact that scientists/engs/analysts want to move their algorithms to deployment on the fastest, biggest systems without the delays of large modficiations to their codes. As a result, we will be investing more in state-of-the-art automatic parallelization, to make it increasingly easier to take an algorithm developed on a desktop PC, and optimize it for running on a large cluster.
- Scaling to larger high performance computers: whereas today’s workgroup servers may contain 8-32 processors, tomorrow’s will contain hundreds and even thousands – enabled by microprocessor advancements, and demanded by increasingly growing data sets (e.g., from increasingly higher resolution MRIs, larger gene databases, hedge fund tick databases, etc.). With this funding, we will push the scaling limits up, in terms of both scaling efficiency, and in absolute terms.
On the channel side of things, we have a number of
authorized resellers around the world, and will be working to expand this, in several key categories (more on this in the near future):