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Kang G. Shin recognized with Distinguished Leadership Award by IEEE Computer Society Technical & Conference Activities Board

His work in the area of real-time computing has spanned decades and has had impact in a broad range of applications.

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.

Third Annual Data Mining Workshop Brings Together 100+ Researchers

100+ researchers from across the University of Michigan and from industry gathered on North Campus for the third U-M Workshop on Data Mining.

Computer Scientists Win Best Paper Award at ISPASS-2012

U-M computer science researchers David Meisner, Junjie Wu, and Professor Thomas F. Wenisch have won the Best Paper Award at the 2012 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS-2012), which took place April 1-3, 2012 in New Brunswick, NJ.