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Mosharaf Chowdhury

Big data, small footprint

How changing the rules of computing could lighten Big Data’s impact on the internet.

Five papers by CSE researchers presented at NSDI

The teams designed systems for faster and more efficient distributed and large-scale computing.

Chowdhury receives VMWare Award to further research on cluster-wide memory efficiency

Chowdhury’s work has produced important results that can make memory in data centers both cheaper and more efficient.

Chowdhury wins NSF CAREER award for making memory cheaper, more efficient in big data centers

Chowdhury connects all unused memory in a data cluster and treats it as a single unit.

Two solutions for GPU efficiency can boost AI performance

Chowdhury’s lab multiplied the number of jobs a GPU cluster can finish in a set amount of time

Designing a flexible future for massive data centers

A new approach recreates the power of a large server by linking up and pooling the resources of smaller computers with fast networking technology.

A breakthrough for large scale computing

New software finally makes ‘memory disaggregation’ practical.

Jack Kosaian selected for NSF Graduate Research Fellowship

Jack has enjoyed involvement in research across diverse domains within the College of Engineering.

Mosharaf Chowdhury receives ACM SIGCOMM Dissertation Award

Prof. Chowdhury bridges the gap between application-level performance and network-level optimizations through the coflow abstraction.

Mosharaf Chowdhury receives Google Faculty Research Award

The project aims to create a new software stack for analytics over geo-distributed datasets.

Eleven New Faculty Join CSE

We're building a bigger, better CSE.