Microsoft Codename “Cloud Numerics” Lab Refresh

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 what is new in the refresh: Improved…


“Cloud Numerics” F# Extensions

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 user experience…


Cloud Numerics and Latent Semantic Indexing, Now with Distributed Sparse Data

  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 are distributed sparse…


“Cloud Numerics” Example: Analyzing Air Traffic “On-Time” Data

  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…


“Cloud Numerics” Example: Analyzing Demographics Data from Windows Azure Marketplace

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 opportunities? In this…


Using Data

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 “Cloud Numerics” lab. Creating Arrays You can create dense arrays with Numerics.Local….


“Cloud Numerics” Example: Using the IParallelReader Interface

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” you…


“Cloud Numerics” Example: Distributed Numerics on Azure with F#

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” lab libraries. Use the deployment utility to scale-out your F# application…


Announcing Microsoft Codename “Cloud Numerics”

The Microsoft Codename “Cloud Numerics” Lab is a numerical and data analytics library for data scientists, quantitative analysts, and others who write data-analytics models in C# and .NET and then want to scale out these solutions on Windows Azure. For example, with “Cloud Numerics” it is possible to write document classification applications using linear algebra…