Combinatorics on Traces by Volker Diekert

By Volker Diekert

Parallelism or concurrency is likely one of the basic techniques in desktop technology. yet inspite of its significance, theoretical how you can deal with concurrency usually are not but sufficiently constructed. This quantity provides a complete learn of Mazurkiewicz' hint thought from an algebraic-combinatorial viewpoint. This concept is well-known as an incredible software for a rigorous mathematical remedy of concurrent structures. the quantity covers a number of various learn parts, and comprises not just recognized effects but in addition a number of new effects released nowhere else. Chapter 1 introduces uncomplicated suggestions. Chapter 2 provides a instantly route to Ochmanski's characterization of recognizable hint languages and to Zielonka's idea of asynchronous automata. Chapter 3 applies the speculation of strains to Petri nets. one of those morphism among nets is brought which generalizes the concept that of synchronization. Chapter 4 presents a brand new bridge among the idea of string rewriting and formal strength sequence. Chapter 5 is an advent to a combinatorial thought of rewriting on strains that are used as an summary calculus for remodeling concurrent processes.

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If there is some 46 AUTOMATIC RE-ENGINEERING OF SOFTWARE USING GP 85,---------,----=---,---------,---------,---------, .............. ~~~~:~l:~~~gg::::···· ......... opdlation 300 .. 9. 20 40 RPF 60 80 100 Varying the population over a number of RPF values uncertainty about the optimal value, as there is here, which value should one choose? 2 Tuning the RPF The conclusions of the previous section suggest that the optimal value of the RPF is sensitive to the initial state of the population, as indeed is any parameter which controls evolution.

Furthermore, the diversity and complexity of parallel processing architecture limits signifi- SOFTWARE RE-ENGINEERING 21 cantly the portability between different parallel machines, thus requiring the development of new software for each parallel machine configuration. There is already a vast amount of serial software for many applications, and much of this code would have to be rewritten to execute in parallel. Clearly there is a need for efficient software translators and generators to address these problems.

20 AUTOMATIC RE-ENGINEERING OF SOFTWARE USING GP streams. 2. 3 for details. The SIMD system, also known as vector processing or array processing, is generally less complex than MIMD, but less flexible. e. where the same instructions must be executed on a large number of data items, SIMD is very suitable, and can generate extremely good speed ups. However, for more general purpose tasks, and in particular, where the code needs to be applied to a single data set at a time, SIMD is not suitable. 3.

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