Parallelify Information

Parallel Processing as a Service (PPaaS). Highly Scalable Computing service mainly for processing of Big Data. Parallelify will allow users to run code in any language/framework (No learning new languages/frameworks), and deploy their application into a cluster of many parallel instances of their application, and divide the dataset or tasks among them. A real world example would be if a user had a dataset of hundreds of thousands of tweets (Gathered by hashtag, or some other means) and to feed that dataset line by line into their application and test the tweet's sentiment (Positive, Negative or Neutral), and add that information to the dataset, or create a new dataset based on just that information. The user can create their application locally using a smaller subset of the dataset, and test their single threaded application locally. Then with little to no change, run that same application on Parallelify, and run 64 parallel, concurrent instances on 64 cores, each processing 1/64th of the dataset. The result should be the same as running it on their local machine, except ~64 times faster (Theoretically, depending on many variables, including network speed/latency, etc..). After the launch of Parallelify.com to the public, two other major segments will be added, making Parallelify a one-stop-shop for Big Data needs. If you are interested, please enter your email on our homepage to receive updates when we are close to launching, and be one of the first to be able to use our service, before our public launch!