As mentioned in our last post, we’re focusing on customer acquisition for the start of 2009. To give you an idea of what types of customers we’re looking at, I thought I would give a quick rundown of what we’re currently working on or exploring:
Web-scale analysis: Applications that utilize the bandwidth on our nodes fit Plura very well. This is a feature of Plura that tends to get glossed over, but is probably the coolest thing we can provide. On top of the compute power our nodes have, they also have their own bandwidth. Any application that uses this bandwidth gets access to thousands of separate Internet connections, which can be used to access the web in a myriad of ways. One of our sister companies, Computational Crawling, is developing a platform that takes advantage of this feature.
Financial modeling: Although a lot of financial algorithmic trading relies on low latency, there are also a wide array of possibilities for more robust modeling. For example, some modelers utilize genetic algorithms to create sophisticated models. Such techniques fit well on Plura due to the low data:compute time ratio inherent to these algorithms. One of our customers is developing such a package.
Bioinformatics: We’re really interested in exploring bioinformatics more. Based on some brief research, there seems to be a lot of applications in this field that utilize parallel computing. In particular, we’ve looked at BLAST and similar algorithms. It appears that the BLAST algorithm can be broken into parallel components. Unfortunately we haven’t looked at this field enough to know for sure, but it’s something we may consider in the future.
Oil and Gas Exploration: While some seismic analysis algorithms will not work on Plura, there are some that will, such as Kirchhoff migrations. Developing a seismic implementation in Plura will take a good bit of work, but is a definite possibility.
In general, any application that uses a significant amount of compute time relative the data transferred or any application that can is embarassingly parallel will work very well on Plura. We’ve mentioned just a few potential industries that can utilize Plura, but there are several more on top of these. We’ll be looking for customers in one or more of these sectors in the coming year.