BATON ROUGE, La., June 1 -- James Demmel, the Richard Carl Dehmel Distinguished Professor of Computer Science and Mathematics at University of California-Berkeley, explained the relationship between improved linear algebra and improved computational resources in an IT Eminent Lecture Series for the LSU Center for Computation and Technology, or CCT.
CCT, along with the LSU Department of Computer Science, hosted the lecture Friday, June 1.
Demmel's lecture, "The Future of High-Performance Linear Algebra," explained that since mathematics is closely tied to science and engineering research, breakthroughs in linear algebra allow greater progress in those areas.
As mathematicians develop better and more accurate algorithms, this in turn leads to faster, easier-to-use high-performance computing resources and more accurate computation, Demmel said.
Once new algorithms are detected, they can be tuned in to work with new hardware and software. Demmel explained since computer science undergoes constant change, mathematics will evolve along with it.
And, the best algorithms are those that are compatible with and produce the best results on the majority of machines, he said. Mathematicians are working along with computer scientists and software developers to create such algorithms.
For more information on CCT's lectures, please contact CCT Manager of Public Relations Kristen Sunde at 225-578-3469.
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Source: LSU Center for Computation & Technology
Publish Date:
06-01-2007
