By Whitley D.

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**Additional resources for A Genetic Algorithm Tutorial [jnl article]**

**Sample text**

But instead of waving a baton, he turns a beam of rosy light upon any region that is running ahead of the rest, and a beam of blue light upon those that are behindhand. [See Fig. ] Parallel processing, in the literal sense of the term, is used in virtually every modern computer. For example, overlapping I/O with computation is a form of parallel processing, as is the overlap between instruction preparation and execution in a pipelined processor. , separate integer and floating-point ALUs or two floating-point multipliers in one ALU) and multitasking (which allows overlap between computation and memory load necessitated by a page fault).

Also, the building-block computations are important in their own right and will be used throughout the book. We will study some of these architectures and algorithms in more depth in subsequent chapters. 1. 2. 3. 4. 5. 6. Some simple computations Some simple architectures Algorithms for a linear array Algorithms for a binary tree Algorithms for a 2D mesh Algorithms with shared variables 25 This page intentionally left blank. 1. SOME SIMPLE COMPUTATIONS In this section, we define five fundamental building-block computations: 1.

B. Approximate the task/computation graph of part (a) with one having only unit-time nodes. 9. Parallel processing effectiveness Consider two versions of the task graph in Fig. 13. Version U corresponds to each node requiring unit computation time. Version E/O corresponds to each odd-numbered node being unit-time and each even-numbered node taking twice as long. a. b. c. d. e. Convert the E/O version to an equivalent V version where each node is unit-time. Find the maximum attainable speed-up for each of the U and V versions.

### A Genetic Algorithm Tutorial [jnl article] by Whitley D.

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