Parallel Computer Systems: Performance Instrumentation and Visualization

TL;DR: Balancing the volume of captured performance data against its accuracy and timeliness requires both appropriate tools and an understanding of instrumentation costs, implementation alternatives, and support infrastructure.

TL;DR: A methodology consisting of a framework, DYPER, and a number of specialized agents called proflets each of which analyzes a different performance aspect, which gathers performance information with a guaranteed maximum overhead.

TL;DR: The abstractions and mechanisms derived from this model are shown suitable for both algorithmic and human interactive steering and a characterization of existing systems for computational steering using the model's abstractions demonstrate such generality.

TL;DR: This bibliography records books and periodicals that have been published using TEX and provides a title word cross-reference for each book.