Internet and cloud computing
Mosharaf Chowdhury named Morris Wellman Professor
Chowdhury is an expert in network-informed data systems design for big data and AI applications.
Enabling fairer data clusters for machine learning
Their findings reduce average job completion time by up to 95% when the system load is high, while treating every job fairly.
Analytical model predicts exactly how much a piece of hardware will speed up data centers
The analytical model, called Accelerometer, can be applied in the early stages of an accelerator’s design to predict its effectiveness before ever being installed.
Programming around Moore's Law with automatic code translation
Most programs in use today have to be completely rewritten at a very low level to reap the benefits of hardware acceleration. This system demonstrates how to make that translation automatic.
New tool combats evolving internet censorship methods
Technology pioneered by Michigan researchers can circumvent many effective website blocking tools
CSE faculty bring significant showing to major systems conference
Researchers designed three new systems to speed up code at several key bottlenecks.
Creating more efficient data centers for AI
Tang’s project will redesign data center systems to support large-scale use of hardware accelerators to meet future computational demand.
CAREER Award for deeper insights into interconnected data: from neurons to web searches
Danai Koutra earned the award for her proposal to innovate the way we use networks to understand the world and speed up our technology.
Award for helping popular websites better direct their internet traffic
Edge Fabric offers providers real-time performance analysis and a way to incorporate this data into routing decisions.
Army Award to speed up distributed methods over networks
Danai Koutra has earned an Army Young Investigator Award to speed up graph methods for distributed applications.
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
Cafarella Receives VLDB Test of Time Award for Structured Web Data Search
This award is given to the VLDB paper published ten years earlier that has had the most influence since its publication.
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.
Net neutrality repeal: Michigan Engineers weigh in
On Dec. 14, the FCC will vote on the rules that today ensure internet service providers treat all web content equally.
“Learning database” speeds queries from hours to seconds
Verdict can make databases deliver answers more than 200 times faster while maintaining 99 percent accuracy.
A breakthrough for large scale computing
New software finally makes ‘memory disaggregation’ practical.
Harsha Madhyastha selected for Google Faculty Award
Prof. Madhyastha seeks to enable the cloud provider to monitor traffic on behalf of all the web services hosted on its platform.
Mosharaf Chowdhury receives Google Faculty Research Award
The project aims to create a new software stack for analytics over geo-distributed datasets.
Barzan Mozafari receives NSF CAREER Award to improve predictability of database systems
Prof. Mozafari is passionate about building large-scale data-intensive systems that are more scalable, more robust, and more predictable.
Secure your website now: Let's Encrypt enters Public Beta
Let's Encrypt allows anyone to request a free website security certificate without needing an invitation.
Censys enables fast searching of actionable internet data
The software enables users to ask questions about the hosts and networks that compose the Internet and get an immediate reply.