Introduction

Hello There !  Welcome to my Blog !

I'm Shravan Murali, an undergrad from NIT Trichy. I love developing cool stuff and doing crazy research on various computer science domains. I'm primarily interested in domains such as Algorithms, Artificial Intelligence, Cloud Computing  and Distributed Systems and Operating Systems. And, this summer I interned at Google Hyderabad with the Data and Tools team in gTech.

 You can stalk me here : shravan97.github.io

or

Contact me here : shravanmurali@gmail.com

Popular posts from this blog

Deferred Execution Models

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As a Google Intern at Hyderabad, I got introduced to a couple of really cool libraries ( TensorFlow  and  FlumeJava ) that use the so called  Deferred Execution Model . I found some very interesting similarities between the two libraries and in this blog post, I'll seek to discuss on how deferred execution works by taking instances from the two libraries. I'll also discuss the pros and cons of Deferred Execution . What is Deferred Execution ? The term  Defer  simply means  to postpone.  This is exactly what happens in  Deferred Execution  too.  Every variable or operation is just  deferred  on a  dependency graph . The dependency graph is a directed acyclic graph. Each node in the graph represents either a variable or an operation. Each edge in the graph represents the dependency of a variable or an operation on another. This dependency graph can be executed starting from any node that you specify. Execution happens in such a way that, all dependency nodes (the nodes
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