In Linda, no separate merge process is needed for multiple client streams.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• The Parlog86 merge process code depends on the number of streams, making it less flexible than Linda for multiple clients.claim0.874
  Pointing out that Parlog requires explicit, stream-count-dependent merging code.
• The Linda code is insensitive to the number of clients, whereas Parlog requires a merge process that depends on the count.claim0.832
  Demonstrates flexibility advantage.
• C-Linda client-server code is insensitive to number of clients; Parlog version requires explicit merge process dependent on client count.finding0.818
• Communication and process creation are two facets of the same operation in Linda.claim0.803
  Linda unifies process creation and communication through generative communication.
• Linda unifies process creation, inter-process communication and synchronization within tuple-space operations.claim0.796
  Key advantage: the same operations handle all three aspects of parallel coordination.
• The Linda model doesn't care how the multiple execution threads in a Linda program compute what they compute; it deals only with how these execution threads are created and organized into a coherent program.concept0.783
  Foundational principle: Linda's orthogonality to base language and computation model is its core strength.
• The fact that senders in Linda needn’t know anything about receivers and vice versa is central to the language. It promotes what we call an uncoupled programming style.quote0.774
  Concise statement of Linda's key design philosophy.
• Linda can express fine-grained wavefront computations cleanly; future implementations on next-generation machines can support them efficiently.hypothesis0.765