Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Q. Binary floating-point number range?
Smallest Negative number
Maximum mantissa and maximum exponent
= - (1 -2-24) × 2127
Largest negative number
Minimum mantissa and Minimum exponent
= -0.5 × 2-128
Smallest positive number
= 0.5 × 2-128
Largest positive number
= (1 -2-24) × 2127
Figure: Binary floating-point number range for given 32 bit format
In floating point numbers basic transaction is between range of numbers and accuracy also known as precision of numbers. If we raise exponent bits in 32-bit format then range can be increased but accuracy of numbers would go down as size of mantissa would become smaller. Let's have an illustration that will elucidate term precision. Suppose we have one bit binary mantissa then we would be able to represent only 0.10 and 0.11 in normalised form as provided in above illustration (having an implicit 1). Values like 0.101, 0.1011 and so on can't be represented like complete numbers. Either they have to be estimated or truncated and would be represented as either 0.10 or 0.11. So it will produce a truncation or round off error. The higher the number of bits in mantissa better would be precision.
In case of floating point numbers for raising both precision and range more bits are required. This can be obtained by employing double precision numbers. A double precision format is generally of 64 bits.
Institute of Electrical and Electronics Engineers (IEEE) is a group that has created many standards in aspect of various aspects of computer has created IEEE standard 754 for floating-point representation and arithmetic. Fundamental aim of developing this standard was to facilitate portability of programs from one to another computer. This standard has resulted in growth of standard numerical capabilities in different microprocessors. This representation is displayed in figure below.
Figure: IEEE Standard 754 format
compare 2g , 3g , and 4g also with advantage of 3g and 4g.
Perform multiplication with showing the contents of accumulator, B register and Y register during each step. (Accumulator, B, Y are 4-bit registers) B=06 Y=02
Define swapping. A process needs to be in memory to be implemented. Though a process can be swapped temporarily out of memory to a backing store and then brought back into mem
A sorting algorithm is stable if Preserves the original order of records with equivalent keys.
What are User threads User threads are supported above the kernel and are executed by a thread library at the user level. Thread creation & scheduling are done in the user sp
Transfer Functions Change the last bilinear interpolated images and the original images into the frequency domain using the FFT. Try to measure the magnitude transfer functio
Define memory address map? Addressing of memory can be established by means of a table that specifies the memory address assigned to each chip. The tables, known as memory addr
What is an AVL tree? AVL Tree An AVL tree is a binary tree in which the dissimilarity in heights among the left and the right subtree is not more than one for each node.
Categorized Optimization transformations The structure of program and the way in that data is defined and used in this provide vital clues for optimization. Optimization t
A certain memory has a capacity of 4K × 8 (i) How many data input and data output lines does it have? (ii) How many address lines does it have? (iii) What is its capacity in bytes
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd