We are announcing a refresh of the Microsoft Codename "Cloud Numerics" Lab. We want to thank everyone who participated in the initial lab, we amassed and used your feedback to make improvements and add exciting features. Your participation is what makes this lab a success. Thank you. Here’s...

In this blog post we’ll introduce Cloud Numerics F# Extensions, a companion post to Microsoft Codename “Cloud Numerics” Lab refresh. Its purpose is to make it easier for you as an F# user to write “Cloud Numerics” applications, and it does so by wrapping “Cloud Numerics” .NET APIs to provide an F# idiomatic...

  You may recall our earlier blog post about Latent Semantic Indexing and Analysis , where we analyzed a few hundred documents. With new features of “Cloud Numerics” Wave 2 we can repeat the analysis: not just for few hundred but for many thousands of documents. The key new features we will use...

  You sit at the airport only to witness your departure time get delayed. You wait. Your flight gets delayed again, and you wonder “what’s happening?” Can you predict how long it will take to arrive at your destination? Are there many short delays in front of you or just a few long delays? This...

Imagine your sales business is ‘booming’ in cities X, Y, and Z, and you are looking to expand. Given that demographics provide regional indicators of sales potential, how do you find other cities with similar demographics? How do you sift though large sets of data to identify new cities and new expansion...

This post demonstrates how to use Microsoft.Numerics C# API to perform statistical operations on data in Windows Azure blob storage. We go through the steps of loading data using IParallelReader interface, performing distributed statistics operations, and saving results to blob storage. As we sequence...

This post contains the following topics: Working with Arrays Loading Distributed Data from a File Creating Distributed Arrays from Azure Blobs Accessing Data with LINQ Working with Arrays You can create either dense n-dimensional arrays or distributed dense n-dimensional arrays using Microsoft codename...

To get your big-data applications to work, you need to read in the data –but what if your data is too big? What if the dataset you are reading requires more memory than is available on any single machine? This is a common constraint for all disciplines that handle large datasets. With “Cloud Numerics...

This post walks through the steps required to use the “Cloud Numerics” distributed numerical and data analytics library from F#. While the “Cloud Numerics” lab focuses on C#, a few additional setup steps enable you to: Write F# applications that use the “Cloud Numerics”...

Microsoft Codename “Cloud Numerics” is a new .NET® programming framework tailored towards performing numerically-intensive computations on large distributed data sets. It consists of a programming model that exposes the notion of a partitioned or distributed array to the user an execution framework or...