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Big data drills down into metabolic details
Rice University bioengineers have introduced a fast computational method to model tissue-specific metabolic pathways. Their algorithm may help researchers find new therapeutic targets for cancer and other diseases.Metabolic pathways are immense networks of biochemical reactions that keep organisms functioning and are also implicated in many diseases.They present the kind of challenges "big data" projects are designed to address. In recent years, computer scientists have built many ways to model these networks in humans, particularly since the 2007 introduction of the first genome-scale model of human metabolic pathways.  (March 15, 2016)

9th Annual Oil & Gas HPC Conference: A Unique Experience
For the ninth year, Rice University's Oil and Gas High Performance Computing (HPC) Conference stayed true to its inceptual mission to engage, educate and network.  Jan Odegard, Executive Director, Ken Kennedy Institute for Information Technology and Associate Vice President, Office of Information Technology, hosted and brought  together professionals from Academia, National Laboratories, Oil & Gas and IT. The conference attendance was record breaking with over 550 people registered. There was, surprisingly, no decrease in attendance this year due to lower oil prices.  (March 10, 2016)

Oil industry must 'improve technology and knowhow'Oil industry must 'improve technology and knowhow'
"We're seeing increasing costs and decreasing returns," said François Alabert, vice president for geo-technology solutions at Total S.A., the French multinational oil and gas giant. "The only way to improve performance is to improve technology and knowhow."It was a message often reiterated at the ninth-annual Rice Oil & Gas (O&G) High-Performance Computing (HPC) Conference at Rice University. Hosted March 2-3 by the Ken Kennedy Institute for Information Technology, the event drew more than 550 leaders from the oil and gas industry, the high-performance computing and information technology industries and academics.  (March 8, 2016)

Drilling Into The Systems At The Oil And Gas MajorsDrilling Into The Systems At The Oil And Gas Majors
HPC centers like to boast about the details of their supercomputing systems because they are political machines as much as they are tools for running simulations. Hyperscalers reveal some of the details behind their massive and complex systems to pump up their open source projects and to show their prowess as a means to attract the best talent. But large enterprises tend to be super secretive about their systems, and none more so than the major oil and gas companies.  (March 7, 2016)

Hybrid Compute Drives Energy Efficient Oil Reservoir ModelingHybrid Compute Drives Energy Efficient Oil Reservoir Modeling
It is convenient, perhaps, that large scale computing evolved just about the time the easiest and biggest strikes for oil and natural gas were over. Since the 1950s, energy companies have always been early adopters of advanced computing, networking, and storage technologies because accurate seismic processing to reveal the structures of the depths of the Earth’s crust is the only practical way to find oil and natural gas and manage their reservoirs of those hydrocarbons.  (March 7, 2016)

Oil and Gas Giant on Tech Infrastructure Investments, Uncertain TimesOil and Gas Giant on Tech Infrastructure Investments, Uncertain Times
Multi-million dollar decisions about investing in high performance computing systems are never taken lightly, but in the oil and gas industry, which is going through one of its worst crises in history, uncertainty reigns—at least in terms of the future outlook.  (March 7, 2016)

Taking the Pulse of HPC in the Oil and Gas Industry
Taking place from March 2 to 3, 2016, the Oil & Gas High Performances Computing (HPC) Conference is hosted annually at Rice University and is the premier meeting place for networking and discussion focused on computing and information technology challenges in the oil and gas industry.  (March 2, 2016)

When machines can do any job, what will humans do?When machines can do any job, what will humans do?
Rice University computer scientist Moshe Vardi expects that within 30 years, machines will be capable of doing almost any job that a human can. In anticipation, he is asking his colleagues to consider the societal implications. Can the global economy adapt to greater than 50 percent unemployment? Will those out of work be content to live a life of leisure?  (February 15, 2016)

Treichler elected to National Academy of EngineeringTreichler elected to National Academy of Engineering
John Treichler ’70, adjunct distinguished visiting professor at Rice, has been elected to the National Academy of Engineering (NAE), one of the highest honors that can be conferred upon a U.S. scientist or engineer.  (February 10, 2016)

Registration Now Open - 2016 Rice Oil & Gas HPC Conference
The Oil and Gas High Performance Computing (HPC) Conference, hosted annually at Rice University, is the premier meeting place for discussion of challenges and opportunities around high performance computing, information technology, and computational science and engineering. The 2016 Conference will be held March 2-3, 2016 at the BioScience Research Collaborative Building on the Rice University Campus.  (January 6, 2016)

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