Abstract
We present jCITE, a performance tuning tool for scientific applications. By combining the static information produced by the compiler with the profile data from real program execution, jCITE can be used to quickly understand the performance bottlenecks. The compiler information allows great understanding of what optimizations have been performed. The user can also find out which optimizations have not been applied and why. Platform independence makes Java the ideal implementation platform for our tool. SGI users can have the same performance analysis tool on all platforms. You can run jCITE on an SGI desktop machine (O2, Octane, Indy) or on a PC running Windows to analyze and optimize the performance of a scientific code running on an SGI Challenge or an SGI Origin machine. In our experiments we were able to significantly speed up some SPEC95 applications in a few days or even a few hours without any prior knowledge of those applications. A longer version of this paper describes all our experiments with jCITE. © 1997 John Wiley & Sons, Ltd.
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