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