A technique in which multiple instructions are executed simultaneously by dividing the instruction execution into several sub-steps or stages.
Instruction Set Architecture (ISA): The set of instructions that a processor can execute, and their encoding formats.
Processor Architecture: The internal components of a processor, including the datapath and control unit.
Register File: A small amount of fast memory used to hold the operands for instructions.
Instruction Fetch and Decode: The process of fetching an instruction from memory and decoding its opcode.
Pipelining: The process of breaking down the execution of an instruction into stages so that multiple instructions can be executed simultaneously.
Data Dependency: When the result of one instruction is dependent on the result of a previous instruction.
Hazard: A situation where pipeline stages are delayed or stalled.
Forwarding: A technique used by pipelining to pass data from one stage of the pipeline to another.
Pipeline Stalls: A technique used to prevent data hazards, where the pipeline stalls one or more stages until data is available.
Branch Prediction: A technique used to predict whether a branch will be taken or not, improving pipeline performance.
Superscalar: A technique where multiple instructions are executed in parallel by employing multiple execution units.
Vector Processing: A technique where processing is done on a vector or array of data instead of individual elements.
Instruction-Level Parallelism: The ability to execute multiple instructions from a single program simultaneously.
Instruction Pipelining: It is a technique in which a computer processor is made to perform multiple instructions simultaneously.
Arithmetic Pipelining: It is a technique in which a mathematical problem is broken down into smaller sub-problems that are then processed simultaneously in multiple pipelines.
Data Pipelining: Data pipelining is a technique in which different processors or execution units are used to break down information into smaller pieces. Each of these pieces is then processed simultaneously in different pipelines.
Branch Pipelining: A branch pipeline is a type of pipelining technique that is used to improve the performance of branching operations.
Memory Pipelining: Memory pipelining is a technique in which memory-related operations are split into multiple stages to improve system performance.
Pipelining with Parallelism: This technique combines pipelining with parallel processing to achieve maximum performance gain.
Superscalar Pipelining: Superscalar pipelining is a technique that allows a computer processor to execute multiple instructions simultaneously, by using multiple execution units within the pipeline.
Vector Pipelining: Vector pipelining is a technique that is widely used in scientific computing applications. It enables a processor to perform arithmetic operations on large data sets simultaneously, by breaking down the data into smaller pieces.
Multi-threaded Pipelining: Multi-threaded pipelining is a type of pipelining that is used to improve the performance of multi-core processors.
Multi-core Pipelining: Multi-core pipelining is a type of pipelining that is used to improve the performance of multi-core processors, by splitting the processing into multiple parallel pipelines.