Today we are announcing the release of the Microsoft Codename “Cloud Numerics” Lab. “Cloud Numerics” is a numerical and data analytics library for data scientists, quantitative analysts, and others that enables the scale-out of data-analytics models written in C# on Azure. “Cloud Numerics “ gives you
Writing numerical algorithms is challenging and requires thorough knowledge of the underlying math; typically this line of work is the realm of experts with job titles such as: data scientist, quantitative analyst, engineer, etc. Writing numerical algorithms that scale-out to the cloud is even harder. At the same time the ever increasing appetite for and availability of data is making it more and more important to be able to scale-out data analytics models and this is exactly what “Cloud Numerics” is all about. For example, with “Cloud Numerics” it is possible to write document classification applications using powerful linear algebra and statistical methods, such as Singular Value Decomposition or Principle Component Analysis, or to write applications that search for correlations in financial time series or genomic data that work on today’s cloud-scale datasets.
“Cloud Numerics” provides a complete solution for writing and developing distributed applications that run on Windows Azure. To use “Cloud Numerics” you start in Visual Studio with our custom project definition that includes an extensive library of numerical functions. You develop and debug your numerical application on your desktop, using a dataset that is appropriate for the size of your machine. You can read large datasets in parallel, allocate and manipulate large data objects as distributed arrays, and apply numerical functions on these distributed array. When your application is ready and you want to scale-out and run on the cloud you start our deployment wizard, fill out your Azure information, deploy, and run you application.
Do you want to learn more about “Cloud Numerics”? Please visit us on our SQL Azure Labs home page, take a deeper look at the Getting Started material and Sign Up to get access to the installer. Let us know what you think by sending us email at cnumerics-feedback@microsoft.com.