Carnegie Mellon University School of Computer Science

Tuomas Sandholm received the ACM SIGecom Test of Time Award for research that combined automated mechanism design with techniques from optimal stopping theory to develop online auction mechanisms that can make near-optimal decisions under uncertainty.

Sandholm Receives SIGecom Test of Time Award Tuomas Sandholm, the Angel Jordan University Professor of Computer Science at Carnegie Mellon University, and his co-authors have received the ACM SIGecom Test of Time Award for their 2007 paper, "Automated Online Mechanism Design and Prophet Inequalities."

Computational biology researchers are working to better understand the role that genes play in bipolar disorder — work that's deeply rooted in decades of student ingenuity supported by the Summer Undergraduate Research Fellowship program.

SURF Grant Powers Research Into the Genetics of Bipolar Disorder About

Recent CMU studies show that as older adults embrace AI, they want the technology to be more in tune with their emotional needs.

How Do Boomers Really Feel About AI? As older adults embrace artificial intelligence, they want the technology to be more in tune with their emotional needs, according to a recent study by Carnegie Mellon University researchers.

SoundBubble helps isolate and amplify the often subtle sounds of fingers as they tap, trace or rap various surfaces, or use different hand tools. That information could, in turn, give computers important contextual hints about what users are doing and how the computer might help them.

Listening to Your Fingertips About

Want to learn programming fundamentals and earn Carnegie Mellon credit along the way?

3CS, the new offering from CMU CS Academy, offers high school students with basic coding knowledge the opportunity to get a jumpstart on college-level computer science coursework, and earn college credit in the process!

This 30-week program Begins August 1. Learn more and sign up today!
👉 https://academy.cs.cmu.edu/3cs

Don't let the headline fool you: the number of employers hiring SCS undergrads and grad degree holders has significantly increased, from 267 in 2022 to 367 last year. Our grads are working in more fields than ever!

Congrats, new grads! Welcome to job market hell. New computer science grads are trying to start their careers at a time when many experts predict that AI will make their skills obsolete.

“I envision a future where epidemic forecasting is everywhere, properly understood and useful.”

Delphi Group Uses Data To Forecast the Flu and Other Epidemics Working to help officials manage future public health emergencies, members of Carnegie Mellon University's Delphi Research Group want to forecast infectious disease outbreaks like meteorologists predict the weather.Working to help officials manage future public health emergencies, Carnegie Mellon Un...

Parallel Data Lab researchers including SCS faculty member Eric Xing was among those honored with the prestigious Test of Time Award during the 2026 EuroSys Conference.

The team received the Test of Time Award for their paper, GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server.

The paper addresses the challenges of scaling deep learning training across distributed GPU systems. While GPUs provide significant computational advantages over CPUs, existing multi-GPU and multi-machine setups suffer from inefficiencies such as high data movement overhead and limited memory capacity. To overcome these limitations, the authors proposed GeePS, a distributed parameter server architecture designed to efficiently coordinate data and model updates across GPUs in multiple machines, enabling scalable training of large neural networks with billions of parameters.

Experimental results demonstrated that GeePS significantly improved training throughput and scalability. The system achieved up to a 13x increase in processed training images per second when scaling from a single optimized GPU implementation to 16 machines. Additionally, GeePS enabled a small cluster of four GPU-equipped machines to surpass the performance of a state-of-the-art CPU-only system running on 108 machines. These findings highlight the effectiveness of GeePS in reducing communication bottlenecks and improving resource utilization in distributed deep learning.

“The whole point is to bring joy to people’s lives — that’s next level for me. I think it’s a fantastic way to really be at the forefront of technology, art and helping people join together.”

The LINK looks at the Center for Transformational Play.

Let Me Entertain You: How SCS Trains the Minds Who Shape How We Play -- The Link - The Magazine of CMU's School of Computer Science .fe-69b1ab7dd5fda27b260c0fa5 {
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"We're not far from a time when people will be able to look on their phone and see what is the current level of circulation of any major pathogen in their city and what is the current prediction of when a wave will arrive.”

Delphi Group Uses Data To Forecast the Flu and Other Epidemics Working to help officials manage future public health emergencies, members of Carnegie Mellon University's Delphi Research Group want to forecast infectious disease outbreaks like meteorologists predict the weather.Working to help officials manage future public health emergencies, Carnegie Mellon Un...