Free Inference and Instant Training: Breakthroughs and Implications
The fact that many commonly used networks take hours to days for training has motivated recent research towards reducing training time. On the other hand networks, once trained, are heavyweight dense linear algebra computations, usually…
Hardware-accelerated Networked Systems
Emerging networked systems, e.g., distributed storage and machine learning platforms, demand high-performance networking. Advanced networking hardware, including optical switches, programmable switches, RDMA NICs and smart NICs can answer this need. However, extracting the required step…
Three Microsoft fellowship programs support academics and the future of the computer science field
To help academics advance their research, Microsoft has supported hundreds of fellows through the Microsoft Research PhD Fellowship. This year we are expanding our funding support by creating two new fellowships: one designed to support…
Research in Focus: Project Silica: Storage Solutions for the Zettabyte Era
What does cloud storage of the future look like? When you build storage at the cloud-scale this creates new opportunities as well as new challenges. In this session, we aim to have a panel that…
Keynote: The Art of Building a Reliable Cloud Network
The Research Faculty Summit 2018 will bring together leaders and researchers from the broad systems research area in computer science. The summit will present the latest information and results from Microsoft product and research groups.…
Panel: Entrepreneurship and Systems Research
The Research Faculty Summit 2018 will bring together leaders and researchers from the broad systems research area in computer science. The summit will present the latest information and results from Microsoft product and research groups.…
Research you can (really) use with Dr. Lenin Ravindranath Sivalingam
Episode 35, August 1, 2018 – Dr. Ravindranath Sivalingam tells us why he is so passionate about what he does, explains how internships can literally change your life, and shares the story of how a…
Research in Focus: Using ML to Troubleshoot and Improve Real Time Systems
As systems become increasingly complicated, cater to large geographical areas, have to seamlessly utilize an incredibly diverse array of computational resources and serve real-time, safety and mission-critical applications there is an emerging need for them…