Practical Parallel Programming by Barr E. Bauer (Auth.)

By Barr E. Bauer (Auth.)

This is often the publication that may train programmers to write down quicker, extra effective code for parallel processors. The reader is brought to an unlimited array of strategies and paradigms on which real coding can be established. Examples and real-life simulations utilizing those units are provided in C and FORTRAN.

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Practical Parallel Programming

This is often the e-book that would train programmers to jot down swifter, extra effective code for parallel processors. The reader is brought to an enormous array of tactics and paradigms on which real coding should be dependent. Examples and real-life simulations utilizing those units are provided in C and FORTRAN.

Additional info for Practical Parallel Programming

Example text

But because the modifications to UNIX that support multiple processors and true parallel programs are significant, it is useful to be aware of these technical underpinnings. This multiprocessing system awareness will be particularly useful when you move past the point of parallelizing your code and into performance tuning. There, the interplay between your parallelized program and all other processes on a real time-sharing system can be discussed in terms presented in this chapter, which will make a difference during optimization for maximum performance.

1 */ for (i=0; i

A group of philosophers sit around a single table. At each place at the table is a plate, and between each plate is a chopstick. The philosophers each eat from a plate of rice positioned in front of them using chopsticks. Each philosopher remains seated at the same position around the table, and can eat only when he is able to get both chopsticks that flank his plate. 1. Each philosopher spends time thinking and eating. Each thinks for a random amount of time and then becomes hungry. Each hungry philosopher attempts to get both chopsticks that flank his plate.

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