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Compare parallel and distributed Systems by giving real time examples for each.

written 7.1 years ago by teamques10 ★ 70k

•   modified 6.8 years ago

Mumbai University > Computer Engineering > Sem 8 > parallel and distributed systems

distributed systems

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written 6.8 years ago by teamques10 ★ 70k

modified 6.8 years ago by tusharghangas1 • 0

Distributed System	Parallel System
High level of abstraction. The programmer generally do not think about low level details.	Both low and high level on implementation but at a lower level then distributed frame work.
Memory usage is comparatively higher due to constraints such as data immutability.	Memory usage is comparatively lower as it allows in place data structure changes.
Simple to develop applications due to simple API's.	Comparatively complex to develop applications.
Fault tolerance is built-in.	Fault tolerance is to be handled by programmer through additional code CPU usage is comparatively lower due to very over heads and optimize collective fractions.
Run time speed is slower.	Run time speed is higher.
Examples : Spark, Flink	Example : MPI, HPX, Charm, etc.

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