Skip to main content

Research

Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU

Illustration of a pangolin with line and bar graphs

06/11/2020 - The datasets used by many software applications can be represented as graphs, defined by sets of vertices and edges. These graphs are rich with useful information, and can be used to determine patterns and relationships among the stored data. This process of discovering relevant patterns from graphs is called Graph Pattern Mining (GPM). A team of Texas Computer Science (TXCS) researchers advised by Dr. Keshav Pingali has done groundbreaking work to make GPM programs more efficient and accessible.

TXCS Researchers Design Evolutionary Algorithms for Neural Networks

Plot of the activation functions the researchers discovered

05/28/2020 - Artificial Intelligence (AI) is a rapidly evolving field, with advancements occurring every day. While the idea of an artificial intelligence system may conjure images of an autonomous machine that rattles out facts like a hi-tech encyclopedia, complex AI exists only because a countless number of talented individuals dedicate their time toward refining these systems.

New Partnership Aims to Demystify Artificial Intelligence “Black Boxes”

03/25/2020 - The promise of artificial intelligence to solve problems in drug design, discover how babies learn language, and make progress in many other areas has been stymied by the inability of humans to understand what's going on inside AI systems. Researchers at six universities, including The University of Texas at Austin, are launching a partnership aimed at turning these AI "black boxes" into human-interpretable computer code, allowing them to solve hitherto unsolvable problems.

TXCS Researchers Win Supercomputing Best Paper Prize

Robert van de Geijn, Lee Killough, and Tze Meng Low accepting the award at PP20 in Seattle, Washington

03/04/2020 - The paper titled “The BLIS Framework: Experiments in Portability” recently received the 2020 SIAM Activity Group on Supercomputing Best Paper Prize. Among the authors of this paper are TXCS professor Dr.

Changing the Evolution of Database Applications

Yuepeng Wang, a sixth-year PhD student at Texas Computer Science

02/04/2020 - Most websites that we use every day are database applications, which means that they involve software that interacts with an underlying database. As these websites evolve to meet the demands of their users, so must the software and the database schema, i.e., the model that determines the layout of the data. This process is extremely time-consuming and error-prone, because developers not only need to transform the data, but also re-implement all the affected parts of the application.

DJ-MC: A Personalized DJ

01/09/2020 - There are few pet peeves worse than being unable to find the right song. It’s this endless cycle of shuffling through a music library that inspired UT alumni and faculty to create DJ Monte-Carlo (DJ-MC)—a program tailored to preemptively pick music that suits your mood.

Dr. Hovav Shacham Awarded ACM CCS Test-of-Time Award 2019

Professor Hovav Shacham

11/20/2019 - The 26th ACM Conference on Computer and Communications Security (CCS) took place in London last week. Over the years, CCS has established itself as a high standard research conference in the field of information security, and is one of the "big four" security conferences in the world. Each year since 2012, CCS has recognized one or two papers from the conference a decade earlier with a test-of-time award.