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Instruction Per Cycle (IPC) is a metric used to evaluate the efficiency of a CPU's architecture by measuring how many instructions are executed per clock cycle. A higher IPC indicates better performance, as it signifies that the processor can handle more instructions simultaneously, thereby improving computational throughput.
CPU performance refers to the efficiency and speed at which a central processing unit (CPU) executes instructions and processes data. It is influenced by factors such as clock speed, core count, cache size, and architectural design, which collectively determine the overall computational capability of a computer system.
Pipeline stages refer to the sequential phases in a data processing or manufacturing workflow where each stage performs a specific task and passes its output to the next stage. This modular approach enhances efficiency and scalability by allowing parallel processing and easy integration of new stages or modifications to existing ones.
Superscalar architecture is a processor design that allows for the execution of multiple instructions simultaneously by utilizing multiple execution units. This architecture improves overall processing efficiency and throughput by exploiting instruction-level parallelism within a single processor core.
Out-of-Order Execution is a performance optimization technique used in modern CPUs to improve instruction throughput by executing instructions as resources are available, rather than strictly following their original order. This allows the processor to better utilize its execution units and hide latencies, leading to more efficient use of the CPU pipeline.
Parallelism is a literary and rhetorical device that involves using components in a sentence that are grammatically the same or similar in construction, sound, meaning, or meter. It adds balance and rhythm to sentences, making them easier to read and more persuasive or memorable.
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Latency refers to the delay between a user's action and the corresponding response in a system, crucial in determining the perceived speed and efficiency of interactions. It is a critical factor in network performance, affecting everything from web browsing to real-time applications like gaming and video conferencing.
Throughput optimization is the process of maximizing the rate at which a system or process produces its desired output, often by minimizing bottlenecks and improving resource allocation. It is crucial in fields like manufacturing, telecommunications, and computing, where efficiency and speed are paramount for competitiveness and cost-effectiveness.
Microarchitecture refers to the way a given instruction set architecture (ISA) is implemented in a processor, detailing the organization of its functional elements and data paths. It plays a critical role in determining the performance and efficiency of a CPU by optimizing the execution of instructions and managing resources like caches and pipelines.
Branch prediction is a technique used in computer architecture to improve the flow of instructions in the pipeline by guessing the outcome of conditional operations. Accurate Branch prediction enhances CPU performance by minimizing delays caused by control hazards, thereby increasing instruction throughput.
Delayed branch is a technique used in computer architecture to mitigate the performance penalty of branch instructions by executing the instruction immediately following a branch regardless of the branch outcome. This approach leverages the pipeline architecture to optimize instruction throughput by filling the 'delay slot' with a useful instruction that can execute while the branch decision is being resolved.
Branch divergence occurs in parallel computing when different execution paths are taken by threads within the same warp, leading to inefficient use of resources. It is particularly problematic in architectures like GPUs, where threads are expected to execute the same instruction simultaneously for optimal performance.
Processor throughput refers to the amount of work a processor can complete in a given period of time, often measured in instructions per second. It is a crucial metric for evaluating the performance and efficiency of a processor, impacting overall system speed and capability.
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