The Texas Advanced Computing Center (TACC) is part of the University of Texas at Austin. TACC designs and operates some of the world's most powerful computing resources. The center's mission is to enable discoveries that advance science and society through the application of advanced computing technologies.
NSF-funded Wrangler supercomputer tailored for big data, augments Stampede and other XSEDE resources.
Filetype: MP3 - Size: 21.55MB - Duration: 15:27 m (192 kbps 44100 Hz)
Stampede supercomputer at TACC and IBM Sequoia at Lawrence Livermore National Laboratory help win 'Oscar' of high performance computing at SC15.
Filetype: MP3 - Size: 34.4MB - Duration: 24:47 m (192 kbps 44100 Hz)
One hundred years since Einstein's equations, scientists have probed the mysteries of black holes using the supercomputing resources of XSEDE including Blue Waters, Gordon, Comet and Stampede.
Filetype: MP3 - Size: 21.01MB - Duration: 15:04 m (192 kbps 44100 Hz)
Supercomputing resources of XSEDE including Stampede are making a big difference in helping anticipate and plan for earthquakes.
Filetype: MP3 - Size: 16.02MB - Duration: 11:28 m (192 kbps 44100 Hz)
Alan Alda, founder of the Alan Alda Center for Communicating Science at Stony Brook University, gives the keynote presentation at the SC15 supercomputing conference about the urgency for clear and accurate communication in high performance computing.
Filetype: MP3 - Size: 16.49MB - Duration: 11:48 m (192 kbps 44100 Hz)
Robert McLay of TACC co-leads a session at the SC15 supercomputing conference about XALT, a software tool that drills down on supercomputer analytics to the level of individual batch submissions, users, and binaries.
Filetype: MP3 - Size: 13.38MB - Duration: 9:31 m (192 kbps 44100 Hz)
UT Austin's Lonestar supercomputer helps biologists save reef-building corals
Filetype: MP3 - Size: 12.21MB - Duration: 8:41 m (192 kbps 44100 Hz)
UT Austin researchers find hotspots of genetic instability in cancer using Stampede and Lonestar
Filetype: MP3 - Size: 13.73MB - Duration: 9:52 m (192 kbps 44100 Hz)
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