Saturday, September 14, 2019
Computing and Ieee-754 Floating-point
1. Name the three ways in which signed integers can be represented in digital computersà and explain the differences. 2. Which one of the three integer representations is used most often by digital computerà systems? 3. How are complement systems like the odometer on a bicycle? 4. Do you think that double-dabble is an easier method than the other binary-to-decimalà conversion methods explained in this chapter? Why? 5. With reference to the previous question, what are the drawbacks of the other twoà conversion methods? . What is overflow and how can it be detected? How does overflow in unsigned numbersà differ from overflow in signed numbers? 7. If a computer is capable only of manipulating and storing integers, what difficultiesà present themselves? How are these difficulties overcome? 8. What are the three component parts of a floating-point number? 9. What is a biased exponent, and what efficiencies can it provide? 10. What is normalization and why is it necessary? 11.W hy is there always some degree of error in floating-point arithmetic when performedà by a binary digital computer? 12. How many bits long is a double-precision number under the IEEE-754 floating-pointà standard? 13. What is EBCDIC, and how is it related to BCD? 14. What is ASCII and how did it originate? 15. How many bits does a Unicode character require? 16. Why was Unicode created? 17. Why is non-return-to-zero coding avoided as a method for writing data to a magneticà disk? 18.Why is Manchester coding not a good choice for writing data to a magnetic disk? 19. Explain how run-length-limited encoding works. 20. How do cyclic redundancy checks work? 21. What is systematic error detection? 22. What is a Hamming code? 23. What is meant by Hamming distance and why is it important? What is meant by minimumà Hamming distance? 24. How is the number of redundant bits necessary for code related to the number of dataà bits? 25. What is a burst error? 26. Name an error detection met hod that can compensate for burst errors.
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