Which one of the following is false about Pipelining?
Reduces the execution time of an individual instruction
Pipelining is a technique used in computer processor design to increase instruction throughput and overall program speed. It works by breaking down the instruction execution process into a series of smaller steps, called stages. Multiple instructions are then processed concurrently, with each instruction in a different stage of execution at any given time, much like an assembly line.
Let's examine each statement provided in the options in the context of how pipelining affects CPU performance:
This statement is true. Throughput refers to the number of instructions that can be completed per unit of time. By allowing multiple instructions to be in different stages of execution simultaneously, pipelining significantly increases the rate at which instructions finish, thereby boosting instruction throughput.
This statement is generally false. Pipelining overlaps the execution of multiple instructions but does not necessarily reduce the total time it takes for a single instruction to complete all its stages (this is known as latency). In fact, the time for a single instruction might even slightly increase due to the overhead associated with the pipeline stages and inter-stage buffering. The benefit of pipelining is in starting the next instruction before the previous one finishes, thus increasing the overall instruction completion rate (throughput), not in speeding up any single instruction.
This statement is generally true. Because pipelining increases the instruction throughput, more instructions are completed in less time overall. This leads to faster execution of the entire program, assuming the program contains enough instructions to keep the pipeline busy and doesn't suffer from frequent stalls or hazards.
Based on the analysis, the statement that is false about pipelining is that it "Reduces the execution time of an individual instruction". Pipelining's primary benefit is improving the overall rate of instruction execution (throughput), which in turn speeds up the program, but it does not typically decrease the time taken by a single instruction from start to finish.
In the case of parallelization, Amdahl’s law states that if P is the proportion of a program that can be made parallel and \((1-P)\) is the proportion that cannot be parallelized, then the maximum speed-up that can be achieved by using N processors is :
Which table for a dynamic pipeline become more interesting when a nonlinear pattern is follows?
A vector processor with 16 lanes can perform an operation on 1024 elements with each operation taking 5 clock cycles. How many cycles are needed to complete the operation ?
A CPU has a 5-stage pipeline with the following stages Fetch (F), Decode (D), Execute (E), Memory (M) and Write-back (W). Each stage takes one clock cycle to complete. Assume there are no pipeline stalls and the pipeline is initially empty. How many clock cycles are required to complete the execution of 10 instructions ?
A multi processor system with 16 processors is used to execute a parallelizable task. If the serial portion of the task takes 200 clock cycles and the parallel portion take 800 clock cycles. When all 16 processor are used how many total clock cycles are required to complete the task ?