A Study in Java ByteCode Engineering with PCESjava

This thesis reports on experience with PCESjava, a collection of tools which we have developed for the purpose of aiding programmers. Particular applications optimize and instrument JAVA bytecode programs. Using these tools, we have successfully identified impediments to real-time performance in a popular JAVA collections object. Our approach here is based on automatic instruction to obtain traces that show paths whose execution time is not reasonably bounded. We also report on the application of our tool to reduce program footprint in JAVA programs by rewriting the bytecodes to occupy less space. Our transformations also improves the running time of set benchmarks applications. We compare our approach here to that of extant tools with similar goals. In the course of developing these optimizations, we have devised a methodology for stack machine transformations

A Common Network of Functional Areas for Attention and Eye Movements

AbstractFunctional magnetic resonance imaging (fMRI) and surface-based representations of brain activity were used to compare the functional anatomy of two tasks, one involving covert shifts of attention to peripheral visual stimuli, the other involving both attentional and saccadic shifts to the same stimuli. Overlapping regional networks in parietal, frontal, and temporal lobes were active in both tasks. This anatomical overlap is consistent with the hypothesis that attentional and oculomotor processes are tightly integrated at the neural level