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June 23, 2009
On Wednesday at ISC'09 Thomas Sterling, the Arnaud & Edwards Professor of Computer Science at Louisiana State University and longtime HPC innovator, will give a keynote presentation looking back and what we've achieved in the past year, and what we are likely to see next as we cross into the petaflops era. We caught up with him before the session to talk about that keynote, and to get his sense for where our community's next challenges will lie.

HPCwire: Your keynote talk on Wednesday will both look back at the major accomplishments of reaching a petaflops of performance and a look forward to exaflops. The petaflops achievement was an important engineering accomplishment, but what does it mean for Joe the Plumber? Why should he care?
Thomas Sterling: We as a world society are bound by decisions and actions taken concerning the environment, energy, biomedical, agriculture, financial, and peace maintenance, as well as an economy driven in large part by innovation. Such decisions and opportunities must be founded in high confidence quantitative understanding of the choices and their consequences. HPC is emerging as the principal means of deriving such knowledge through simulation and data analysis.
Joe the Plumber need not worry about the subtle nuances of HPC systems in order to care that this dimension of social change succeeds. Each epoch of our field has seen new advances that have catalyzed myriad others, enabling industry advances and government policies to undertake the best course of action on behalf of all of us. Yet, critical challenges still remain to be resolved that demand orders of magnitude increase in affordable sustained performance.
Here in year 1 AP (After Petaflops), we mark both the accomplishment and the challenge to fulfill our obligation to Joe to serve as stewards of Earth's limited resources while expanding our innate knowledge and capability for its people and future generations.
HPCwire: What are the major achievements of this past year in both hardware and software?
Sterling: The major accomplishments of the past year have been the learning curves in which the HPC community has been engaged in four areas: 1) programming multicore, 2) working at petaflops scale, 3) harnessing GPU accelerators, and 4) defining a path toward exascale system design and usage.
Multicore, arguably the most immediate of the challenges in an admittedly crowded space, is the target of commercial and academic research to provide effective programming methodologies. One or probably multiple solutions to this problem are required to sustain the anticipated exponential growth of observed user application performance with the increase in number of cores per socket driven by Moore's Law. Intel's TBB, Microsoft's Concert, MIT's Cilk, and our own (LSU's) ParalleX are among the different implementation approaches being pursued.
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It seems only natural that the US space agency would be casting its eyes toward the clouds. Sure enough, NASA is now looking to cloud computing to optimize the operation of the agency's IT infrastructure for some of its science codes. Like many commercial businesses and government organizations, NASA is being asked to do more computing with fewer datacenter resources.
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Learn about scalable fault-tolerant architectures and examples of energy efficient and scalable supercomputing clusters using dual QDR InfiniBand to combine capacity computing with network failover capabilities with the help of programming languages such as MPI and a robust Linux cluster management package.
LIVE@SCO9: The IBM team discusses new innovations in hardware, software and services that help clients better understand their workloads and get insight from their R&D efforts. Technology demonstrations include the soon-to-be-released Power7 HPC processor, the DCS990 system with 2.4 petabytes of storage, the xCAT management tool, secure HPC cloud computing and more. Winners of two HPCwire Readers' and Editors’ Choice Awards! Take the IBM virtual tour at SC09 or more information go online to: http://www-03.ibm.com/systems/deepcomputing/sc09.html