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Explain Garbage collection
In this method two passes are made over the memory to identify new areas. In the first pass it traverses all pointers pointing to allocated areas and marks the memory areas which are in use. The second pass finds out all unmarked areas and declares them to be free. The garbage collection overheads are not incremental. They are acquired every time the system runs out of free memory to allocate to new requests. Two major approaches to reuse free memory area in a heap are:
First-fit: Allocate the first hole which is big enough. Searching can start either at the starting of the set of holes or where the previous first-fit search ended. Searching is stopped when a free hole is found that is large enough
Best-fit: Allocate the smallest hole which is big enough; whole list is searched, unless ordered by size. This strategy generates the smallest leftover hole.
Bubbling the Pipeline: Bubbling the pipeline (also known as a pipeline break or pipeline stall) is a technique for preventing, structural, data and branch hazards from taking p
DVD-ROM employs same principle as a CD-ROM for reading and writing. However a smaller wavelength laser beam is used. Total capacity of DVD-ROM is 8.5GB. In double-sided DVD-ROM two
What''s is a lissajious pattern?
MIPS' native assembly code only has two branch instructions, beq and bne, and only one comparison instruction, slt. Using just these three instructions (along with the ori instruct
Secret-key encryption is also called as Private encryption.
Find the generating function to denote the number of ways the sum 9 can be acquired while 2 distinguishable fair dice are tossed and the first shows an even number and the second s
Q. When gravity is the merely force acting on an object the object is in what? Answer:- One respond is that it is in free-fall in a vacuum to eliminate atmospheric drag.
How does dynamic memory allocation help in managing data
A computer system with 16K of memory, a Memory Management Unit with a page size of 2000, and the following page translation table : Logical Address Physical Start 0000
Learning Weights in Perceptrons - Artificial neural network In detail we will look at the learning method for weights in multi-layer networks next chapter. The following descri
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