NERSC Uses Stimulus Funds to Overcome Software Challenges for Scientific Computing
October 30, 2009
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A "multi-core" revolution is occurring in computer chip technology. No longer able to sustain the previous growth period where processor speed was continually increasing, chip manufacturers are instead producing multi-core architectures that pack increasing numbers of cores onto the chip. In the arena of high performance scientific computing, this revolution is forcing programmers to rethink the basic models of algorithm development, as well as parallel programming from both the language and parallel decomposition process.
To ensure that science effectively harnesses this new technology, the Department of Energy's (DOE) National Energy Research Scientific Computing Center (NERSC) is receiving $3.125 million in stimulus funds over the next two years from the American Recovery and Reinvestment Act to develop the Computational Science and Engineering Petascale Initiative. As part of this program, NERSC will hire eight post-doctoral researchers to help design and modify modeling codes in key research areas such as energy technologies, fusion and biosciences, to run on emerging many-core systems.
"Emerging multi-core and other heterogeneous architectures provide opportunity for major increases in computational power over the next several years. Designing effective programming models and new strategies will be the key to achieving next-generation petascale computing," says Alice Koniges of NERSC's Science-Driven System Architecture Team, who will be heading the initiative.
The introduction of multi-core chips as well as other new hardware designs such as those built on graphics processors, or GPUs, brings a new heterogeneity to the high performance computing community. While during the past 10–15 years, scientists were able to make amazing progress with parallel message passing models that allowed them to harness many thousands of processors, the new architectures have distinct differences in memory capacity and hierarchies that are causing researchers to consider new programming models and languages as a means to effectively exploit the power afforded by millions of cores.
Every year, NERSC provides computing resources to more than 3,000 DOE-supported scientists, who are developing new materials, modeling climate, investigating protein structures and conducting research in a host of other scientific endeavors. As the DOE Office of Science's primary scientific computing facility, the center is also tasked with helping these users adjust their codes to keep up with new trends in high performance computing. Currently, this includes overcoming the multi-core revolution challenges.
Hired on a two-year term assignment, each of the initiative's post-doctoral researchers will work with key NERSC users to create new procedures for making their current algorithms suitable for very large numbers of processors, develop new algorithms to replace ones that do not scale, and introduce new language constructs that are suitable for many-core platforms. The researchers will also develop a framework for enabling a broader scientific community to take advantage of multi-core performance.
The projects selected to participate in this collaboration will come from the DOE's Office of Advanced Scientific Computing Research's (ASCR) Leadership Computing Challenge Program, which dedicates a large percentage of NERSC's computing resources to high-risk, high-payoff simulations in areas directly related to the DOE’s energy mission, for national emergencies, or for broadening the community of researchers capable of using leadership computing resources.
"An integral part of this initiative is collaboration. Because we are hosting this program at NERSC, the post-docs can leverage the expertise of scientists and engineers running a world-class supercomputing facility, as well as members of the Berkeley Lab's Computational Research Division, who have extensive experience in creating computational tools and techniques for a wide range of science disciplines," says Koniges.
About Computing Sciences at Berkeley Lab
The Lawrence Berkeley National Laboratory (Berkeley Lab) Computing Sciences organization provides the computing and networking resources and expertise critical to advancing the Department of Energy's research missions: developing new energy sources, improving energy efficiency, developing new materials and increasing our understanding of ourselves, our world and our universe.
ESnet, the Energy Sciences Network, provides the high-bandwidth, reliable connections that link scientists at 40 DOE research sites to each other and to experimental facilities and supercomputing centers around the country. The National Energy Research Scientific Computing Center (NERSC) powers the discoveries of 6,000 scientists at national laboratories and universities, including those at Berkeley Lab's Computational Research Division (CRD). CRD conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and analysis, computer system architecture and high-performance software implementation. NERSC and ESnet are DOE Office of Science User Facilities.
Lawrence Berkeley National Laboratory addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the DOE’s Office of Science.
DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov.