June 1999
Intermediate to advanced
368 pages
8h 21m
English
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11.3. Summary
In this chapter we've explored not only the mechanics of creating a compute server, but also some of the subtle issues that arise in building parallel applications. As we've seen, creating a replicated-worker application isn't as easy as just generating tasks, dropping them into a space, and letting workers compute them. Often we need to consider the granularity of the tasks as well as the resource constraints of the space in a shared environment.
The compute server application we developed in this chapter is simple, yet an interesting basis for further study and exploration. Much would need to be done to commercialize such a server, and there is much that you can learn from experimenting and extending the current server; the exercises ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.