Download Concurrent Programming on Windows by Joe Duffy PDF

By Joe Duffy

Writer Joe Duffy has risen to the problem of explaining tips on how to write software program that takes complete good thing about concurrency and parallelism. In Concurrent Programming on home windows, he explains how you can layout, enforce, and continue large-scale concurrent courses, essentially utilizing C# and C++ for Windows.

Concurrent Programming on home windows has 4 significant sections: the 1st introduces concurrency at a excessive point, by means of a bit that specializes in the elemental platform positive factors, internal workings, and API info.

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Extra resources for Concurrent Programming on Windows

Sample text

We form mental models and conclusions about the state transitions possible with these assumptions firmly in mind . However, concurrency invalidates many such assumptions. info 19 20 C h a pter 2 : Syn c h ro n i z a t i o n a n d T i m e When state i s shared, multiple concurrent threads, each o f which may have been constructed with a set of sequential execution assumptions, may end up overlapping in time. And when they overlap in time, their opera­ tions become interleaved. If these operations access common memory locations, they may possibly violate the legal set of state transitions that the program's state machine was planned and written to accommodate.

Indeed, we see that this is true for this particular history: t1 runs to com­ pletion, leaving value 1 in * a, and then t2, leaving value 2, and finally, after executing the instruction at time 8 in our timeline, t3 has finished and * a contains the expected value 3 . We can compress program histories into more concise representations so that they fit on one line instead of needing a table like this. Because only one instruction executes at any time step, this is simple to accomplish. ,. b to denote that event a happens before b.

We described how concurrent systems are typically formed out of higher level components that eschew sharing in favor of isolation, and that lower level components typically do share data for purposes of fine-grained, performance sensitive operations. This is a middle ground, but the two extremes are certainly possible: on one hand, all components in the system may share state, while, on the other hand, no components share state and instead communicate only via loosely coupled messages. , some lower level components will use isolation, while some higher level components will share state for effi­ ciency reasons.

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