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Shared Memory
Shared Memory refers to memory component of a computer system in which the memory can accessed directly by any of the processors in the system.
Distributed Memory
Refers to the 'Network based memory' in which there isn't any common address space for several memory modules including the memory system of (networked) system. Normally, a processor or group of processors have a memory module associated with it, not dependent on the memory modules associated with other processors or group of processors.
Explain the significance IPV6 over IPV4. The maximum size of an Ipv6 datagram is 65575 bytes, with the 0 bytes Ipv6 header. Ipv6 also describe a minimum reassembly buffer size:
Why can CRC detect more errors than simple Checksum? There are two purposes a CRC can identify more errors than a simple Checksum. 1. Since an input bit is shifted by all th
Q. Write an interrupt routine to handle 'division by zero'? This file can be loaded just like a COM file though makes itself permanently resident until the system is running.
create a BCD adder combinational ckt. that adds 2 digit BCD inputs
What is the difference between the specparam and parameter constructs? Specparam is a special kind of parameter which is intended to specify only timing and the delay values. K
In the statement Write:/15(10) lfa1-lifnr. The values 15 and 11 can also be defined by variable. No, the value of 11 nad 15 is not described by variable.
TYPEWRITERS : Typewriter is the most common machine used in almost all offices. Typewritten letters are attractive in appearance as compared to handwritten ones. The same matter c
Explain briefly how firewalls protect network. A firewall is simply a program or hardware device that filters the information coming by the Internet connection into your
Ferroelectric RAM is a random-access memory same in construction to DRAM but uses a ferroelectric layer rather of a dielectric layer to achieve non-volatility. FeRAM is one of a gr
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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