TOC, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14

2) TOPIC: PERFORMANCE ISSUES


2.1) Does Tuple Space become a bottleneck when there are many processors?

No, not if the tuples can be distributed across the Network, as is usually the case in real applications. Network Linda can even dynamically redistribute tuples to improve performance.


2.2) Is tuple matching a performance problem in Linda?

No, that is one of the advantages of Linda being a language, not simply a library. The Linda compiling system does a complete tuple operation analysis at link time, and generates a custom interface into the Linda support library to optimize the storage of tuples for each Linda program. In most Linda programs, very few tuples are checked before a matching tuple is found.

 
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