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.