Mom: Okay honey, no playing fire, Bombs or knives this time okay? Kid: Aww man. Okay mom.
Mom: Bye!!
Kid: *Runs outside and gets in a helicopter*
Mom: OMG WHERE DID YOU GET THAT
Kid: *flies away*
Mom: *screams*

5 MIN LATER HES DRIVING THE HELICOPTER WITH A CAT. YES A CAT.
Kid: Lets drop a nuclear bomb on New York !!
The cat: OKAY
Kid: Ok lock on to the Empire State Building
The cat: Lockin on now
Kid: now when I let the helicopter fall out of the sky you drop the bomb, okay?
The cat: okay! WAIT WHAT??!!
Kid: Yea if we stay alive the cops will find us and put us in jail
The cat: YOU, YOU DUM DUM !!
Kid: *turns engine off*
Cat: N IM TOO YOUNG TO DIE
Kid: oh get over it the vet was gonna put u down anyway. FIRE.
Cat: *Fires*

THAT DAY NEW YORK WAS HIT BY A BOMB AND A HELICOPTER FELL FROM THE SKY !!
FREE POINTS LOL

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?

What is a programming method that provides for interactive modules to a website?

What is the error in the following pseudocode? module main() call raisetopower(2, 1.5) end module module raisetopower(real value, integer power) declare real result set result = value^power display result end module