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t em d l l , System Core d l l , System Data d l l , System T r a n s a ction s d l l):

All delegate types, by convention, offer a Beg i n I nvoke and E n d I nvoke method alongside the ordinary synchronous I n voke method While this is a nice programming model feature, you should stay away from them wherever possible The implementation uses remoting infrastructure that imposes a sizeable overhead to asynchronous invocation Queuing work to the thread pool directly is often a better approach, though that means you have to coordinate the ren dezvous logic yourself (or use the APM implementation we're about to examine)

Asyn c h ro n o u s Prolra m m l n l M o d e l (A P M )

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That was primarily an engineering challenge, he continues There had to be good-quality copies of the material, and there had to be a replay system that was simple enough for academics to operate The solution was to import Japanese VCRs and modify them for European standards To maintain acceptable quality in tape copies, though, Snell had to import an American time-base corrector, which was, of course, a turning point

understand, ensure deadlock freedom, and s o on Most systems must strike a careful balance between these two extremes The critical region mechanisms available today are defined by regions of program statements in which mutual exclusion is in effect, as shown above, rather than being defined by the data accessed within such regions The data accessed is closely related to the program logic, but not directly: any given data can be manipulated by many regions of the program and simi larly any given region of the program is apt to manipulate different data This requires many design decisions and tradeoffs to be made around the organization of critical regions Programs are often organized as a collection subsystems and composite data structures whose state may be accessed concurrently by many threads at once Two reasonable and useful approaches to organizing critical regions are as follows:

Wavelength selectable switch (WSS)

Coarse-grained A single lock is used to protect all constituent parts of some subsystem or composite data structure This is the simplest scheme to get right There is only one lock to manage and one lock to acquire and release: this reduces the space and time spent on syn chronization, and the decision of what comprises a critical region is driven entirely by the need of threads to access some large, easy to identify thing Much less work is required to ensure safety This over conservative approach may have a negative impact to scalability due to false sharing, however False sharing prevents concurrent access to some data unnecessarily, that is it is not necessary to guard access to ensure correctness Fine-grained As a way of improving scalability, we can use a unique lock per constituent piece of data (or some groupings of data), enabling many threads to access disjoint data objects simulta neously This reduces or eliminates false sharing, allowing threads to achieve greater degrees of concurrency and, hence, better liveness and scalability The down side to this approach is the increase of number of locks to manage and potentially multiple lock acquisi tions needed if more than one data structure must be accessed at once, both of which are bad for space and time complexity This

strategy also can lead to deadlocks if not used carefully If there are complex invariant relationships between multiple data structures, it can also become more difficult to eliminate data races No single approach will be best for all scenarios Programs will use a combination of techniques on this spectrum But as a general rule of thumb, starting with coarse-grained locking to ensure correctness first and fine tuning the approach to successively use finer-grained regions as scalabil ity requirements demand is an approach that typically leads to a more maintainable, understandable, and bug-free program

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