10:30 AM-12:30 PM
Software development effort has long been an obstacle to the adoption of various advances in computational science. In several application domains restructuring compiler technology has been used to lower development times without sacrificing efficiency or accuracy. The speakers in this minisymposium will discuss the application of compiler technology to automatic differentiation, languages for scientific computing, and sparse matrix computations. They will be on the concrete results of applying restructuring compiler technology rather than the details of compilation techniques.
Organizers: Vladimir Kotlyar, Cornell University; and Lucas Roh, Argonne National Laboratory
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