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Instruction-Level Parallelism (ILP) enables processors to execute multiple instructions simultaneously, improving performance without increasing clock speed. Effective exploitation of ILP hinges on various techniques such as pipelining, superscalar architecture, and handling data and control hazards. Despite its advantages, there are inherent limitations like instruction dependency, memory latency, and power consumption that can constrain the effective utilization of ILP.
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Term: InstructionLevel Parallelism (ILP)
Definition: The ability of a processor to execute multiple independent instructions at the same time.
Term: Superscalar Architecture
Definition: Processor design that allows multiple instructions to be issued and executed concurrently using multiple pipelines.
Term: Dynamic Scheduling
Definition: The hardware capability to decide when to execute instructions based on the availability of operands.
Term: Data Hazards
Definition: Situations where instructions depend on the results of previous instructions, potentially causing delays.
Term: Speculative Execution
Definition: A technique in which instructions are executed before it is known if they are needed, to exploit potential parallelism.