The Morph system provides a framework for automatic collection and management of profile information and application of profile-driven optimizations. In this paper, we focus on the operating system support that is required to collect and manage profile information on an end-user’s workstation in an automatic, continuous, and transparent manner. Our implementation for a Digital Alpha machine run...

A modified profile optimization method using a smoothest shape modification strategy (POSSEM) is developed for airfoil shape optimization in a preliminary design environment. POSSEM is formulated to overcome two technical difficulties frequently encountered when conducting multipoint airfoil optimization within a high-resolution design space: the generation of undesirable optimal airfoil shapes...

Electric grids are moving from a centralized single supply chain towards a decentralized bidirectional grid of suppliers and consumers in an uncertain and dynamic scenario. Soon, the growing smart meter infrastructure will allow the collection of terabytes of detailed data about the grid condition, e.g., the state of renewable electric energy producers or the power consumption of millions of pr...

Characterizing the dynamic behavior of parallel programs in terms of their execution profile helps to understand their behavior and suggest optimization strategies to improve the performance. Traditional event tracing techniques write the profiled data to trace files. Using the traditional approach for fine grained profiling not only yields large unwieldy trace files but often also gives skewed...

Traditional feedback-directed optimization (FDO) uses static instrumentation to collect profiles. This method has shown good application performance gains, but is not commonly used in practice due to the high runtime overhead of profile collection, the tedious dual-compile usage model, and difficulties in generating representative training data sets. In this paper, we show that edge frequency e...

This paper proposes a simultaneous tuning method for PID controllers and dead-zone compensators based on particle swarm optimization. By the proposed algorithm, PID gains and dead-zone parameters are tuned online to minimize the error between the control output and the reference input. However, since ultrasonic motors intrinsically have a varying dead-zone in the control input associated with a...