Computers process information consistently for all transactions. This creates a risk that:
a....
Computers and Technology, 21.04.2020 03:08 georgesarkes12
Computers process information consistently for all transactions. This creates a risk that:
a. auditors will not be able to determine if data is processed consistently.
b. erroneous processing can result in the accumulation of a great number of misstatements in a short period of time.
c. auditors will not be able to access data quickly.
d. all of above
Answers: 3
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You have a large, late-model pick-up truck with a rear seat. the pick-up truck weighs 6,500 pounds. the florida seat belt law
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Computers and Technology, 22.06.2019 21:30
Write a function named printfloatrepresentation(float number) that will print the floating point representation of a number using the format given below. (sign bit) exponent in binary (assumed bit).significandfor example if the number passed an argument is 71 yourprogram should print (0) 10000101 (1).00011100000000000000000similarly if the number passed to the function as argument is -71 the program should print (1) 10000101 (1).00011100000000000000000
Answers: 3
Computers and Technology, 23.06.2019 17:30
When making changes to optimize part of a processor, it is often the case that speeding up one type of instruction comes at the cost of slowing down something else. for example, if we put in a complicated fast floating-point unit, that takes space, and something might have to be moved farther away from the middle to accommodate it, adding an extra cycle in delay to reach that unit. the basic amdahl's law equation does not take into account this trade-off. a. if the new fast floating-point unit speeds up floating-point operations by, on average, 2ă—, and floating-point operations take 20% of the original program's execution time, what is the overall speedup (ignoring the penalty to any other instructions)? b. now assume that speeding up the floating-point unit slowed down data cache accesses, resulting in a 1.5ă— slowdown (or 2/3 speedup). data cache accesses consume 10% of the execution time. what is the overall speedup now? c. after implementing the new floating-point operations, what percentage of execution time is spent on floating-point operations? what percentage is spent on data cache accesses?
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