Pittsburgh Supercomputing Center 

Advancing the state-of-the-art in high-performance computing,
communications and data analytics.

PSC Helps Power Human-AI Poker Match-Up

Friday, April 24, 2015

First, Deep Blue came for Kasparov, besting the world’s top-ranked chess player in 1997. Then Watson beat Jeopardy!’s best and brightest in 2011. Now Claudico, a program developed at Carnegie Mellon University using high performance computing thanks to an XSEDE allocation on Pittsburgh Supercomputing Center’s Blacklight system, will take on the next great challenge in machine learning: facing off against four of the world’s top 10 players at no-limit, heads-up Texas hold ’em poker. Read the CMU press release https://www.cs.cmu.edu/brains-vs-ai.

The two-week “Brains vs. Artificial Intelligence” tournament begins today at Rivers Casino in Pittsburgh, with poker pros Doug Polk, Dong Kim, Bjorn Li and Jason Les facing off against Claudico. Unlike earlier human-machine poker matches involving bid-limited Texas hold ’em, this competition will involve the vastly more complex unlimited version, which offers 10161 (1 followed by 161 zeroes) possible game situations. Not only a program for playing Poker, Claudico is the product of a set of algorithms developed by CMU’s Tuomas Sandholm and students that can automatically derive optimum strategies for virtually any situation in which opponents possess incomplete information, given only the rules of the “game.”

View continuous play:   twitch.tv/Claudico_vs_DougPolktwitch.tv/Claudico_vs_DongKimtwitch.tv/Claudico_vs_BjornLitwitch.tv/Claudico_vs_JasonLes

You can also follow the tournament at @psc_live (Twitter) and www.psc.edu.

Rivers Casino is a gambling establishment; no one under age 21 is permitted on casino property.

PSC to Build Early Warning Tool for Fixing Internet Traffic Jams

$300,000 National Science Foundation Grant Will Use Web10G Data to Warn Users, Administrators for Proactive Repair of Slow Data Flow

Wednesday, March 4, 2015

A new, $300,000 National Science Foundation (NSF) grant will enable software engineers at the Pittsburgh Supercomputing Center (PSC) to build the first practical tool for warning individual users and their network administrators when their connection has developed a problem that will slow or halt data flow. The one-year project will build a tool called XSight, intended to become a standard part of the toolbox for maintaining network connections for all operating systems. XSight will build on PSC’s Web10G, a set of software tools for obtaining connection data.

“XSight will represent a proactive approach toward resolving network problems,” says PSC’s Chris Rapier, principal investigator in the project. “It’s different from other approaches to measure network performance because it takes advantage of Web10G’s ability to collect data on individual data transfers, both in the network and in an application’s interaction with the network.”

Read more: Early Warning Tool for Fixing Internet Traffic Jams