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To support creation of nimble applications for computational grids, the authors believe one must eliminate the barrier that separates program creation from execution and post-mortem optimization. This paper outlines an approach to dynamic performance adaptation and distributed optimization in the grid environment based on a suite of performance instrumentation, analysis, and presentation tools that includes distributed performance sensors and resource policy actuators, fuzzy logic rule bases for adaptive control, and immersive visualization systems for real-time visualization and direct manipulation of software behavior.