Resource-efficient ML for Edge and Endpoint IoT Devices
Our objective is to develop a library of efficient machine learning algorithms that can run on severely resource-constrained edge and endpoint IoT devices ranging from the Arduino to the Raspberry Pi.
Demikernel
The Demikernel is a new library OS architecture for kernel-bypass I/O in datacenter servers. The Demikernel defines a new kernel-bypass I/O abstraction and uses library OSes to flexibly provide that abstraction across different kernel-bypass devices…
Microsoft DemiKernel OS
The Demikernel is a library operating system architecture designed for use with kernel-bypass I/O devices. The Demikernel architecture offers a uniform system call API across kernel-bypass technologies (e.g., RDMA, DPDK) and OS functionality (e.g., a…
DiskANN: Vector Search at Web Scale
We design algorithms to address the challenges of scaling ANNS for web and enterprise search and recommendation systems. Our goal is to build systems that serve trillions of points in a streaming setting cost effectively.
Optics for the Cloud lecture series
The Optics for the Cloud series features leading researchers giving public talks on cutting-edge topics…
Optics for the Cloud: Networking Event at Downing College
Dr. Ariel Gomez Diaz, Morgan Fellow at Downing College, University of Cambridge and Senior Optical Scientist would like to invite faculty and students at Downing College, invited members of the Optics for the Cloud Research…
Democratizing data, thinking backwards and setting North Star goals with Dr. Donald Kossmann
Dr. Donald Kossmann is a Distinguished Scientist who thinks big, and as the Director of Microsoft Research’s flagship lab in Redmond, it’s his job to inspire others to think big, too. But don’t be fooled.…
Machine Learning and Optimization
The CORE group conducts research in the intersection of algorithms, operations research and computer systems. Our focus is on designing large-scale optimization solutions for cloud systems and applications.