Wednesday, July 16

10:30 AM-12:30 PM
Kresge Auditorium

Applications of Compiler Technology in Computational Science

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

10:30 Compiling MATLAB Programs with FALCON
Luiz De Rose and David Padua, University of Illinois, Urbana-Champaign
11:00 An Extensible Automatic Differentiation Tool For C
Lucas Roh, Organizer
11:30 Compilation of Sparse Matrix Computations
John Gilbert, William Pugh, and Tatiana Shpeisman, Xerox PARC
12:00 Bernoulli Compiler: Automatic Generation of High-Performance Sparse Matrix Programs
Vladimir Kotlyar, Organizer

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MMD, 3/31/97