The Pressures of History: Shakespearean Performance and Interpretation

Interpretations of Shakespeare’s characters have been subject to the pressures of history, exhibiting a progression of performance styles in accordance with changes in ideas and concerns over time. Shakespeare’s complex portrayals of women leave room for cultural influences of a time period to greatly influence interpretations because of the ambiguous nature of some of his major female characters. Lady Macbeth and Much Ado About Nothing’s Beatrice both overstep and challenge gender boundaries, and the combination of their defiant natures and textual ambiguities have made these characters highly controversial over the past four centuries.Various cultures over time have imposed specific readings of the characters that serve to reinforce the male-dominated expectations of a given society. The examination of variations in performance styles and interpretations of these two extremely canonical characters revealinsights into gender ideologies that existed during various time periods throughout history. The combination of this analysis with an exploration of the effects of the more recent applications offeminism and film, which have both helped to reshape the cultural images of both Lady Macbeth and Beatrice, will aide in an observation of the status of gender relations in our contemporary society. The current trend of interpretations of these characters could also provide predictions about future gender relations in our culture.

Performance Modeling Of Reconfigurable Distributed Systems Based On The Opensparc Fpga Board And The Sirc Communication Framewor

This thesis explores system performance for reconfigurable distributed systems and provides an analytical model for determining throughput of theoretical systems based on the OpenSPARC FPGA Board and the SIRC Communication Framework. This model was developed by studying a small set of variables that together determine a system¿s throughput. The importance of this model is in assisting system designers to make decisions as to whether or not to commit to designing a reconfigurable distributed system based on the estimated performance and hardware costs. Because custom hardware design and distributed system design are both time consuming and costly, it is important for designers to make decisions regarding system feasibility early in the development cycle. Based on experimental data the model presented in this paper shows a close fit with less than 10% experimental error on average. The model is limited to a certain range of problems, but it can still be used given those limitations and also provides a foundation for further development of modeling reconfigurable distributed systems.