The Georgia Institute of Technology Office of the Provost formally announced today the formation of the Georgia Tech Institute for Data and High Performance Computing (IDH). HPC has become continually important to George Tech in order to further their research activities not directly related to the computational sciences.
As we look to high performance computing to drive advanced breakthroughs in science, health, energy and other industries, leveraging Georgia Tech’s strongest assets — world-class researchers in computing, experts across nearly every problem domain, and low barriers to collaboration — is what will set us apart,” said Dr. Mark Allen, senior vice provost for Research and Innovation at Georgia Tech. “The creation of the Institute for Data and High Performance Computing provides the organizational foundation to harness our strategic capabilities and attack the most challenging problems that face society today.”
The main goal of the IDH will be “to enhance Georgia Tech’s scientific contributions, reputation and impact, focusing on the exploitation of HPC technology coupled with the development of novel computational methods.” The institute’s interim director will be Dr. Richard Fujimoto, Regents’ Professor and head of Computational Science & Engineering in the College of Computing.
Georgia Tech has made substantial infrastructure and personnel investments in high performance computing, and achieved many important successes, over the last five years,” said Dr. Fujimoto. “I fully anticipate that IDH will enable us to advance beyond prototypes to new levels of accomplishment in the high performance computing area.”
The IDH has quite the list of forward thinkers in computational science, including: Dr. David Bader, Professor in the College of Computing, and Dr. Ron Hutchins, Chief Technology Officer for Georgia Tech. For more info, check out the new IDH website here.






IBM has given Rice one of its first supercomputers with the company’s new POWER7 microprocessors, a $7.6 million award, on the condition that Rice open up access to the computer to all in the Texas Medical Center. For free.
Late night infomertial? Not likely. PCWorld has posted a series of very flashy photos courtesy of the simulations used in conjunction with the US Olympic bobsled team. According to the photo stream sidebars, the US team has jumped on the HPC bandwagon to help them gain the vital fractions of a second in their chase for the gold.
Researchers at Aalborg University in Denmark are now utilizing GPUs to advance their research in communications. The Department of Electronics Systems and Technology Platforms focus on the theory, modeling, design, implementation, and test of RF systems and circuits, mainly within RF-CMOS, HW/SW co-design and design space exploration, advanced circuit and system theory, modeling and analysis as well as synthesis. The research are using the AccelerEyes Jacket platform alongside MATLAB in order to accelerate development, irrespective of whether the target platform is pure CPU of CPU/GPU.
The Planet 51 project was born in 2002. Since then, Ilion Animation Studios has created an entire parallel universe around Planet 51 using leading-edge technologies. The result is an incredible visual experience which cannot be compared with any other animated film. Over 350 people from more than 20 countries worldwide have worked on Planet 51 – including designers, developers, engineers and many other professionals – with a budget of some $70 million.
…The Extreme Computing solution provided by Bull consisted of a cluster including computing nodes and a management node, connected to the storage system and other Ilion servers via an Ethernet Gigabit network.
Next generation IndyCar Series race car chassis designs are quickly coming to fruition. The 2012 design year sneak peeks were leaked by race car company Swift Engineering. Alongside the release was a side note on various new business partnerships that Swift has formed in the design and implementation process. Oddly enough, Cray was highlighted as a major business partner.
I’ll take Deep Blue for 500 Alex. Not quite. IBM’s latest foray into human-like reasoning is beating humans at the ever-popular Jeopardy game show. The question answered machine nicknamed “Watson” is already performing trial runs against humans that have previously appeared on actual Jeopardy episodes. According to the article, Ken Jennings is not among the initial contestants.
The folks at the Texas Advanced Computing Center [TACC] are celebrating a birthday today. Their massive cluster system called Ranger just turned 2! The 579.4TF machine was the first in the NSF “Path to Petascale” program. It still remains in the top ten of the Top500 list.
In this month’s installment of Andrew Jones’ ZDNet series on high performance computing, he discusses a subject near and dear to my heart: scientific code development. Given that I’m a classically educated software engineer, I have a somewhat myopic view of code development for scientific computing [et.al, HPC]. Requirements gathering, numerical analysis, code development, rigorous testing and constant evaluation have become a normal part of my life.
The US Department of Energy announced today that they have laid out supercomputing allocations totaling over 1.6billion hours to 69 cutting-edge projects. The allocations come through the DoE Innovative and Novel Computational Impact on Theory and Experiment [INCITE] program. The INCITE program grants large buckets of HPC resources to groups working on the most challenging of research. The goal being to drive research results with immediate resources.
The code could prove crucial in the development of nuclear reactors that are safe, affordable and environmentally friendly. To model the complex geometry of a reactor core requires billions of spatial elements, hundreds of angles and thousands of energy groups—all of which lead to problem sizes with quadrillions of possible solutions.
We’ve had more than ample opportunity to comment on NVIDIA’s GPUs here over the past year or so, and the point I keep coming back to is that they have been genius at building an ecosystem around their product that has created a network effect — the more people that use NVIDIA’s gear, the easier it is for still more people to come into the fold.
Los Alamos National Lab has released a list of, what they consider, their top ten laboratory science stories of 2009. The list was based on global viewership of online media content and major programmatic milestones.


