Difference between revisions of "TDSM 12.1"
From The Data Science Design Manual Wikia
(Created page with "Parallel processing has tightly-coupled computation, and the tasks are CPU-bound. Distributed processing has loosly-coupled computation, and the tasks are memory/IO-bound.") |
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− | Parallel processing has tightly-coupled computation, and the tasks are CPU-bound. | + | '''Parallel processing''' has tightly-coupled computation, and the tasks are CPU-bound. It happens on one machine. |
− | Distributed processing has | + | '''Distributed processing''' has loosely-coupled computation, and the tasks are memory/IO-bound. It involves sharing resources across multiple machines. |
Latest revision as of 04:56, 9 December 2017
Parallel processing has tightly-coupled computation, and the tasks are CPU-bound. It happens on one machine.
Distributed processing has loosely-coupled computation, and the tasks are memory/IO-bound. It involves sharing resources across multiple machines.