21 Lecture
CS501
Midterm & Final Term Short Notes
Instruction Level Parallelism
Instruction Level Parallelism (ILP) refers to the ability of a processor to execute multiple instructions in parallel, thereby improving performance. ILP can be achieved through techniques such as pipelining, superscalar execution, and out-of-or
Important Mcq's
Midterm & Finalterm Prepration
Past papers included
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- What is Instruction Level Parallelism (ILP)?
a) The ability to execute multiple threads in parallel
b) The ability to execute multiple instructions in parallel
c) The ability to execute multiple processes in parallel
d) The ability to execute multiple programs in parallel
Solution: b) The ability to execute multiple instructions in parallel
What are the benefits of ILP?
a) Improved performance
b) Reduced power consumption
c) Increased security
d) All of the above
Solution: a) Improved performance
Which of the following is a challenge of ILP?
a) Data dependencies between instructions
b) Limited availability of resources
c) Slow clock speed
d) None of the above
Solution: a) Data dependencies between instructions
Which of the following techniques can be used to overcome the challenges of ILP?
a) Instruction scheduling
b) Register renaming
c) Speculative execution
d) All of the above
Solution: d) All of the above
What is superscalar processing?
a) A technique for exploiting ILP
b) A technique for exploiting TLP
c) A technique for reducing power consumption
d) A technique for reducing memory latency
Solution: a) A technique for exploiting ILP
What is dynamic scheduling in the context of ILP?
a) A technique for predicting branch outcomes
b) A technique for issuing and executing instructions out of order
c) A technique for reducing data dependencies between instructions
d) A technique for reducing memory latency
Solution: b) A technique for issuing and executing instructions out of order
What is speculation in the context of ILP?
a) A technique for predicting branch outcomes
b) A technique for issuing and executing instructions out of order
c) A technique for reducing data dependencies between instructions
d) A technique for reducing memory latency
Solution: a) A technique for predicting branch outcomes
How does pipelining relate to ILP?
a) Pipelining is a technique for exploiting TLP
b) Pipelining is a technique for exploiting ILP
c) Pipelining is a technique for reducing power consumption
d) Pipelining is a technique for reducing memory latency
Solution: b) Pipelining is a technique for exploiting ILP
Which of the following is not a technique used to overcome the challenges of ILP?
a) Instruction scheduling
b) Register renaming
c) Static branch prediction
d) Speculative execution
Solution: c) Static branch prediction
What is the role of the compiler in ILP?
a) To optimize code to reduce data dependencies between instructions
b) To optimize code to exploit available parallelism
c) To generate machine code for the processor
d) All of the above
Solution: d) All of the above
Subjective Short Notes
Midterm & Finalterm Prepration
Past papers included
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What is Instruction Level Parallelism (ILP)? Answer: Instruction Level Parallelism (ILP) refers to the ability of a computer processor to execute multiple instructions in parallel, thereby improving the overall performance of the system. How is ILP different from Thread Level Parallelism (TLP)? Answer: ILP and TLP are two different forms of parallelism. ILP focuses on executing multiple instructions in parallel within a single thread of execution, while TLP involves executing multiple threads in parallel on a multi-core processor. What are the benefits of ILP? Answer: The main benefit of ILP is improved performance. By executing multiple instructions in parallel, ILP can reduce the overall execution time of a program and increase the throughput of the processor. What are the challenges of ILP? Answer: One of the main challenges of ILP is the issue of dependencies between instructions. If an instruction depends on the results of a previous instruction, it cannot be executed until the previous instruction has completed, which can limit the level of parallelism that can be achieved. What techniques are used to overcome the challenges of ILP? Answer: Techniques such as instruction scheduling, register renaming, and speculative execution can be used to overcome the challenges of ILP by allowing instructions to be executed out of order and predicting the outcome of branches. How does superscalar processing relate to ILP? Answer: Superscalar processing is a type of processor architecture that is designed to exploit ILP by allowing multiple instructions to be issued and executed in parallel. What is dynamic scheduling in the context of ILP? Answer: Dynamic scheduling is a technique used in ILP to allow instructions to be issued and executed out of order based on their availability and the availability of resources such as registers and functional units. What is speculation in the context of ILP? Answer: Speculation is a technique used in ILP to predict the outcome of conditional branches and execute instructions based on the predicted outcome before the actual outcome is known. How does ILP relate to pipelining? Answer: Pipelining is a technique used to increase the throughput of a processor by breaking down the execution of instructions into a series of stages. ILP can be used in conjunction with pipelining to allow multiple instructions to be executed in parallel within each stage. What is the role of the compiler in ILP? Answer: The compiler plays an important role in ILP by optimizing the code to reduce dependencies between instructions and exploit available parallelism, such as by reordering instructions or breaking them down into smaller units that can be executed in parallel.