Moore’s Law states that Group of answer choices

“what can go wrong, will go wrong.”

“the decrease in the marginal output of a production process as the amount of a single factor of production is incrementally increased, while the amounts of all other factors of production stay constant.”

“processor speeds, or overall processing power for computers will double every two years.”

“programmers tend to set the size of problems to fully exploit the computing power that becomes available as the resources improve.”

The forerunner to cell phones, pdas, and smartphones was

How do you set up a slide show to play continuously, advancing through all the slides without requiring your interaction? a. click set up slide show, and then select the loop continuously until ‘esc' and show without narration options. b. click set up slide show, and then select the loop continuously until ‘esc' and use timings, if present options. c. click set up slide show, and then select the show presenter view and use timings, if present options. d. click set up slide show, and then select the show without animation and browsed at a kiosk (full screen) options.

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?