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difference between register and memory location
the different between direct and indirect adress instruction
First, let's look at what they mean. Ubiquitous means everywhere. Pervasive means "diffused throughout every part of." In computing terms, those seem like somewhat similar concepts. Ubiquitous computing would be everywhere, and pervasive computing would be in all parts of your life. That might mean the difference between seeing kiosks on every street corner and finding that you could -- or need to -- use your Palm handheld to do absolutely every information-based task. And, in fact, that's where the difference between these two types of computing lies. Pervasive computing involves devices like handhelds -- small, easy-to-use devices -- through which we'll be able to get information on anything and everything. That's the sort of thing that Web-enabled cell phones promise. Ubiquitous computing, though, eschews our having to use computers at all. Instead, it's computing in the background, with technology embedded in the things we already use. That might be a car navigation system that, by accessing satellite pictures, alerts us to a traffic jam ahead, or an oven that shuts off when our food is cooked. Where IBM is a leader in the pervasive computing universe -- it has a whole division, aptly called the Pervasive Computing division, devoted to it -- Xerox started the ubiquitous thing back in 1988. Ubiquitous computing "helped kick off the recent boom in mobile computing research," notes its inventor, Mark Weiser, who came out with the concept at Xerox's Palo Alto Research Center, "although it is not the same thing as mobile computing, nor a superset nor a subset." That means that people who use ubiquitous computing to mean computing anytime, anyplace -- to describe hordes on a street corner checking their stock prices until the "walk" light comes on or efforts to dole out laptops to all students on a college campus -- aren't using the rightterm. We don't really need to use either one. I'd be happy to call pervasive computing mobile computing, and to call ubiquitous computing embedded or invisible or transparent computing -- or even just built-in functions. Besides, until either ubiquitous or pervasive computing is anywhere and everywhere, those alternatives seem more accurate.
There isn't any difference. Two different words forexactly same thing. Third way to call it is instruction address register.
The bitwise logical operator and (&) calculates the bitwise logical and of two integral values. It is a binary operator.The address of (&) operator returns the address of the value to its right. It is a unary operator.The distinction between the two is one of context. The logical and operator will follow (and be preceeded by) a value, while the address of operator will follow an operator.
This is a home work my friend:)
poda myir
supercomputers allows both parallel and distributed computing
The offset is usually the difference between the address of a module and the specific location being referenced.
The difference between a super computer and a mini computer is in their computing power. A super computer has infinitely more computing power than a mini computer.
hardware, computing language
sloth hacking
Have you been wondering if there is a difference between cloud computing and SAAS, which stands for Software-as-a-Service? There definitely is a difference between the two terms. Cloud computing refers to the larger concept of using the Internet to access the network and services. Cloud computing is extremely scalable. SAAS differs in that it is software that is managed remotely by a provider on a subscription basis. SAAS is like cloud computing though because it is massively scalable.
op code is used as the value of instruction . And operand is address location where the instruction can meet.
GPS coordinates are latitude & longitude. IP address is an arbitrary 32 bit number that has no relation to physical location.
Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation. In effect, the role model for soft computing is the human mind.
Information can be defined as meaningful data. Computing can be the process of doing something with the data to produce information.