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What are distributed and parallel computing?
Parallel computing and distributed computing are ways of exploiting parallelism in computing to achieve higher performance. Multiple processing elements are used to solve a problem, either to have it done faster or to have a larger size problem been solved. To state simply, if the processing elements share the memory, it is called parallel computing, other wise it is called distributed computing. Some have opinion that distributed computing is a special form of parallel computing.
What is the definition of parallel computing?
The definition of parallel computing is the processing of data many bits at a time as opposed to serial computing which is the processing of data one bit at a time.
Is grid computing an advanced computing?
"Distributed" or "grid" computing in general is a special type of parallel computing, it is advanced in the means of using distributed computing.
Which instruction set is used by the itaniums processors?
EPIC, which stands for Explicitly Parallel Instruction Computing.
What are the advantages and disadvantages of parallel computing?
One advantage to parallel computing is the ability to process information quicker. A disadvantage is maintaining the system because it is complex.
What is the difference between supercomputer and distributed computing?
supercomputers allows both parallel and distributed computing
What is cost optimal algorithm in parallel computing?
The cost optimal algorithm in parallel computing is the modular structured parallel algorithm that satisfy the insatiable demand of low power consumption, reduces speed and minimum silicon area.
What are the key differences between distributed computing and parallel computing, and how do these differences impact their respective performance and scalability?
Distributed computing involves multiple computers working together on a task, often across a network, while parallel computing uses multiple processors within a single computer to work on a task simultaneously. Distributed computing can be more flexible and scalable but may face challenges with communication and coordination between the computers. Parallel computing can be faster and more efficient for certain tasks but may be limited by the number of processors available. The choice between distributed and parallel computing depends on the specific requirements of the task at hand.
What is the difference between distributed and parallel computing?
In the most simple form = Parallel Computing is a method where several individual (autonomous) systems (CPU's) work in tandem to resolve a common computing workload. Distributed Computing is where several dis-associated systems are working seperatly to resolve a multi-faceted computing workload. An example of Parallel computing would be two servers that share the workload of routing mail, managing connections to an accounting system or database, solving a mathematical problem, ect... Distributed Computing would be more like the SETI Program, where each client works a separate "chunk" of information, and returns the completed package to a centralized resource that's responsible for managing the overall workload. If you think of ten men pulling on a rope to lift a load, that is parallel computing. If ten men have ten ropes and are lifting ten different loads from one place to consolidate at another place, that would be distributed computing. In Parallel Computing all processors have access to a shared memory. In distributed computing, each processor has its own private memory
What are the differences between parallel system and distributed system?
What is the difference between parallel computing and distributing computing? In the most simple form = Parallel Computing is a method where several individual (autonomous) systems (CPU's) work in tandem to resolve a common computing workload. Distributed Computing is where several dis-associated systems are working seperatly to resolve a multi-faceted computing workload. An example of Parallel computing would be two servers that share the workload of routing mail, managing connections to an accounting system or database, solving a mathematical problem, ect... Distributed Computing would be more like the SETI Program, where each client works a seperate "chunk" of information, and returns the completed package to a centralized resource that's responsible for managing the overall workload. If you think of ten men pulling on a rope to lift a load, that is parallel computing. If ten men have ten ropes and are lifting ten different loads from one place to consolidate at another place, that would be distributed computing.
What are the applications of parallel processing?
In a nut shell. The most common applications of parallel computing/processing are solving extremly complex problems whithin the science and engineering communities e.g. ... grid computing and internet technology.
Disadvantages of parallel computing?
1.costly 2.replication 3.complex
