February 05, 2013
US Energy Secretary Steven Chu oversaw the nation's energy policy at one of the most politically divisive times in recent history. Last Friday he announced that he would step down from the job. As a big champion of Big Science and its potential to change the country's economic and environmental landscape – with government aid – many people welcome the change while others are sad to see him go.
Both views are based on one fact: During his four-year term, Chu emphasized the role of science and technology funding in national innovation and competitiveness.

In many people's view, his greatest achievement was bringing science back to the forefront of energy policy after years of neglect under previous administrations.
To others, his decision to provide $535 million in federal loan guarantees to Solyndra, a solar energy company that later went bankrupt, makes him the poster child for government misspending.
A physics professor, Nobel Prize winner, and Bell Labs investigator, Chu has always been a huge proponent of the transformative power of research.
President Obama praised Chu for his efforts to bring about that transformation. "Over the past four years we have doubled the use of renewable energy, reduced our dependence on foreign oil and put our country on a path to win the global race for clean-energy jobs," the president said.
Chu pushed the idea that high performance computing should play a key role in overcoming today's difficult energy challenges. As head of the DOE, he was responsible for some of the most powerful supercomputers in the world. DOE's Office of Science makes supercomputers available to researchers who use them to simulate everything from the components of a proton to the mechanisms of an exploding star. At a 2010 summit in Washington, D.C., he asserted that the "the DOE strategy should be to make simulation part of everyone's toolbox."
In 1997, Chu, along with several Bell Lab colleagues, won the Nobel Prize in Physics for their work on laser cooling. An article at Quartz by Steve LeVine examines how Chu set out to recreate the prolific Bell Laboratory model in Washington using focused funding streams and strategic innovation centers.
Chu's approach was multi-pronged. First, he created 46 Energy Frontier Research Centers (EFRCs), funded at $2-5 million per year per center for an initial five-year year. These integrated, multi-investigator centers, operated by the DOE Office of Science, target "grand challenge" problems in order to transform "the way we generate, supply, transmit, store, and use energy."
"The EFRCs neatly fit the Bell mantra," writes LeVine. "Give a group of talented scientists a specific objective, the freedom to solve it how they see fit, a reasonable sum to work with, and let them go to the task. They might fail spectacularly, but Bell thought that was also how they may succeed."
The second piece of Chu's plan was to establish five Energy Innovation Hubs, each of which receive up to $125 million in funding over five years. Their mission, according to the DOE, is "to shorten the path from laboratory innovation to technological development, and lead the way toward American competitiveness, economic growth and energy security." Researchers from different labs are simulating nuclear reactors, developing biofuels from sunlight, designing energy efficient buildings, advancing electrochemical energy storage, and enhancing the supply of critical energy materials.
Chu also oversaw the development of Advanced Research Projects Agency-Energy (ARPA-E), a DOE incubator project that was modeled after the Defense Department's DARPA program. As Chu explains, "ARPA-E was designed to support high-risk, high reward technology development; to swing for game-changing home runs that can fundamentally transform energy technologies."
Many people in science and industry have praised the program. In his ARPA-E Summit Keynote, FedEx founder and CEO Fred Smith characterized it as "the best government funding program" he had ever seen.
But not everybody was so happy with Chu's approach to government/industry collaboration. Republicans launched withering attacks against his handling of the Solyndra loan program after the solar panel maker and four other government-funded energy companies went belly-up on his watch. Some of the comments upon his resignation have not been so kind.
"While many will remember Secretary Chu for his comments about the need to raise gas prices on American consumers and the high grades he publicly bestowed on himself," said House Oversight and Government Reform Committee Chairman Darrell Issa in a statement, "I found taxpayer losses on projects like Solyndra and the department's deeply misguided effort to use taxpayer dollars as an investment bank for unproven technologies to be the most problematic aspects of his legacy."
Chu takes responsibility for these "failures" in his resignation letter, but insists there is a larger context. Innovation, he says, requires risk:
The test for America's policy makers will be whether they are willing to accept a few failures in exchange for many successes. America's entrepreneurs and innovators who are leaders in global clean energy race understand that not every risk can – or should – be avoided. Michelangelo said, "The greater danger for most of us lies not in setting our aim too high and falling short; but in setting our aim too low, and achieving our mark."
It's true the research beds that Chu established are still in their early years, but he believes that they will give life to the same kind of game-changing advances associated with Bell Labs and other legendary institutions. "Some of those goals have been realized, and we have planted many seeds together," he said in his resignation letter. "Just as today's boom in shale gas production was made possible by Department of Energy research from 1978 to 1991, some of [our] most significant work may not be known for decades. What matters is that our country will reap the benefits of what we have started."
His final legacy will have to wait for those decades to pass and demonstrate whether or not his words prove true.
Related Articles
US Energy Secretary Talks Supercomputing
Steven Chu Announces the Scalable Data Management, Analysis, and Visualization Institute
Jun 19, 2013 |
Supercomputer architectures have evolved considerably over the last 20 years, particularly in the number of processors that are linked together. One aspect of HPC architecture that hasn't changed is the MPI programming model.
Read more...
Jun 18, 2013 |
The world's largest supercomputers, like Tianhe-2, are great at traditional, compute-intensive HPC workloads, such as simulating atomic decay or modeling tornados. But data-intensive applications--such as mining big data sets for connections--is a different sort of workload, and runs best on a different sort of computer.
Read more...
Jun 18, 2013 |
Researchers are finding innovative uses for Gordon, the 285 teraflop supercomputer housed at the San Diego Supercomputer Center (SDSC) that has a unique Flash-based storage system. Since going online, researchers have put the incredibly fast I/O to use on a wide variety of workloads, ranging from chemistry to political science.
Read more...
Jun 17, 2013 |
The advent of low-power mobile processors and cloud delivery models is changing the economics of computing. But just as an economy car is good at different things than a full size truck, an HPC workload still has certain computing demands that neither the fastest smartphone nor the most elastic cloud cluster can fulfill.
Read more...
Jun 14, 2013 |
For all the progress we've made in IT over the last 50 years, there's one area of life that has steadfastly eluded the grasp of computers: understanding human language. Now, researchers at the Texas Advanced Computing Center (TACC) are utilizing a Hadoop cluster on its Longhorn supercomputer to move the state of the art of language processing a little bit further.
Read more...
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?
Join our webinar to learn how IT managers can migrate to a more resilient, flexible and scalable solution that grows with the data center. Mellanox VMS is future-proof, efficient and brings significant CAPEX and OPEX savings. The VMS is available today.