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machine word वाक्य

"machine word" हिंदी मेंmachine word in a sentence
उदाहरण वाक्यमोबाइल
  • For very large integers, bases 2 32 or 2 64 ( grouping binary digits by 32 or 64, the length of the machine word ) are used, as, for example, in GMP.
  • Therefore, the basic numbers used in computer algebra are the integers of the mathematicians, commonly represented by an unbounded signed sequence of base of numeration, usually the largest base allowed by the machine word.
  • The non-conservative packed sorting algorithm of uses a subroutine, based on Ken Batcher's merging two sorted sequences of keys that are each short enough to be packed into a single machine word.
  • This divisor can be chosen to be a power of two, for which division can be replaced by shifting, or a whole number of machine words, for which division can be replaced by omitting words.
  • The language is unusual in having only one data type : a word, a fixed number of bits, usually chosen to align with the architecture's machine word and of adequate capacity to represent any valid storage address.
  • This allowed smaller instructions, typically things with one or no operands, like NOP, to be stored in memory in a smaller 16-bit format, and for two such instructions to be packed into a single machine word.
  • The IBM 7070, IBM 7072, and IBM 7074 computers used this code to represent each of the ten decimal digits in a machine word, although they numbered the bit positions 0-1-2-3-4, rather than with weights.
  • The 704 hardware had special support for splitting a 36-bit machine word into four parts : an " address part " and " decrement part " of fifteen bits each, and a " prefix part " and " tag part " of three bits each.
  • Since any computer data can be represented as one or more machine words, one generally needs hash functions for three types of domains : machine words ( " integers " ); fixed-length vectors of machine words; and variable-length vectors ( " strings " ).
  • Since any computer data can be represented as one or more machine words, one generally needs hash functions for three types of domains : machine words ( " integers " ); fixed-length vectors of machine words; and variable-length vectors ( " strings " ).
  • Since any computer data can be represented as one or more machine words, one generally needs hash functions for three types of domains : machine words ( " integers " ); fixed-length vectors of machine words; and variable-length vectors ( " strings " ).
  • In other words, it will always be found either in its original hashed array entry, or in one of the next " H-1 " neighboring entries . " H " could, for example, be 32, a common machine word size.
  • On typical modern computers, additions and multiplications take constant time independent of the values of the operands ( so long as the operands fit in single machine words ), so there are large gains in packing as much of a bignumber as possible into each element of the digit array.
  • It's very rare to see characters described in octal ( partially because octal is pretty rare in general, but mostly because we're not using some weird architecture like a PDP-1 where the number of bits in a machine word is a multiple of 3 ).
  • Load-link / store-conditional ( LL / SC ) offered by many RISC processors can be viewed as the most basic transactional memory support; however, LL / SC usually operates on data that is the size of a native machine word, so only single-word transactions are supported.
  • The natural implementation of sparse matrix arithmetic on a computer makes it easy to compute the sequence " S " in parallel for a number of vectors equal to the width of a machine word  indeed, it will normally take no longer to compute for that many vectors than for one.
  • In the uniform cost model ( suitable for analyzing the complexity of gcd calculation on numbers that fit into a single machine word ), each step of the algorithm takes constant time, and Lam?s analysis implies that the total running time is also " O " ( " h " ).
  • :I guess it made sense to Ken Thompson and Dennis Richie and those guys back in the day, to have a type that was the size of the machine word, although in practice it's pretty hard to think of a programming case that having that adaptive int makes for easier programming of a given task than using a fixed-size.
  • Applying above " exp-by-squaring " algorithm, with " * " interpreted as " x " * " y " = " xy " mod 2345 ( that is a multiplication followed by a division with remainder ) leads to only 27 multiplications and divisions of integers which may all be stored in a single machine word.
  • This gives the most compact representation of arbitrary permutations, and in computing is particularly attractive when " n " is small enough that " N " can be held in a machine word; for 32-bit words this means " n " d " 12, and for 64-bit words this means " n " d " 20.
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