Abstract
The enormous and growing complexity of today's high-end systems has increased the already significant challenge of maximizing performance on today's equally complex scientific applications. In this paper, we discuss the role of compiler technology in supporting application developers in a systematic approach to performance tuning of key application components. Based on scenarios taken from manual optimization of scientific codes, we describe how compiler support can enable the programmer to achieve the same or better performance in a much more productive way. We also present examples derived automatically from compiler optimization that show results comparable to hand-tuned performance.
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