Cassyopia: Compiler Assisted System Optimization
Department of Computer Science
University of Arizona
Tucson, AZ 85721, U.S.A.
Matti A. Hiltunen Richard D. Schlichting
AT&T Labs - Research
Florham Park
NJ 07932, U.S.A.
Execution of a program almost always involves multiple address spaces, possibly across separate machines. Here, an approach to reducing such costs using compiler optimization techniques is presented. This paper elaborates on the overall vision, and as a concrete example, describes how this compiler assisted approach can be applied to the optimization of system call performance on a single host. Preliminary results suggest that this approach has the potential to improve performance significantly depending on the program's system call behavior.