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Rice University Department of Computer Science presents Calvin Lin University of Texas at Austin Compiler Support for Analyzing and Optimizing Software Libraries Abstract Software libraries are a popular means of re-using code. Unfortunately, the static black-box nature of libraries can thwart compiler optimizations, limit code reuse, and threaten portability. This talk describes a compiler-based approach to analyzing and optimizing both software libraries and the application programs that use them. The key is a simple annotation language that describes semantic information about libraries. The result is a powerful tool that can transform programs and perform static program checking. Lin will describe two uses of this system. He will show how the system can produce good performance improvements, even for a library-- the PLAPACK parallel linear algebra library-- that has been carefully designed to provide good performance. Lin also will show how the system can identify instances of a well-known security violation that stems from the use of the Standard C library. He will conclude by outlining some on-going work that shows the larger potential of this idea. Wednesday, July 3, 2002 at 4:00 p.m. in DH 1064 Reception at 3:30 p.m. in DH 1049 Biographical Sketch Calvin Lin is an Assistant Professor of Computer Science at the University of Texas at Austin. He received his Ph.D. from the University of Washington. His research explores ways that languages, compilers, and more recently computer architecture, can improve system performance and programmer productivity. Copyright 2000 Rice University site problems: www@cs.rice.edu --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- ---