kshiteej    CV    Scrapbook

Hi!

I'm a graduate student at University of Wisconsin-Madison. My advisor is Prof. Aditya Akella.

Before this, I was working at IBM Research India. I did my undergraduation from IIT Delhi.

My research interests are in Networking, Systems and Security.

To know more have a look at my CV.

I also maintain a collection of random posts.


Tracking my runs

I run. Was on a hiatus, but feels good to start again. Here are some of my recent run statistics.

BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data

Takeaways from BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data, Agarwal et al, Eurosys, 2013.

Project Adam: Building an Efficient and Scalable Deep Learning Training System.

Takeaways from Project Adam: Building an Efficient and Scalable Deep Learning Training System, Chilimbi et al, OSDI, 2014.

Scaling Distributed Machine Learning with the Parameter Server.

Takeaways from Scaling Distributed Machine Learning with the Parameter Server, Li et al, OSDI, 2014.

Global Analytics in the Face of Bandwidth and Regulatory Constraints

Takeaways from Global Analytics in the Face of Bandwidth and Regulatory Constraints, Vulimiri et al, NSDI, 2015.

MLbase: A Distributed Machine-learning System.

Takeaways from MLbase: A Distributed Machine-learning System, Kraska et al, CIDR, 2013.

GraphX: Graph Processing in a Distributed Dataflow Framework

Takeaways from GraphX: Graph Processing in a Distributed Dataflow Framework, Gonzalez et al, OSDI, 2014.