Computer Architecture: Pipelining & ILP
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Questions and Answers

What is the primary benefit of pipelining in processors?

  • Reduced power consumption
  • Increased clock speed
  • Increased instruction throughput (correct)
  • Simplified hardware design

Which of the following is NOT a phase in a typical 5-stage pipeline?

  • Memory Access (MEM)
  • Data Processing (DP) (correct)
  • Execution (EX)
  • Instruction Fetch (IF)

What is a common solution to data hazards in pipelining?

  • Increasing cache size
  • Forwarding (correct)
  • Adding more clock cycles
  • Using larger instruction sets

Superscalar processors can execute how many instructions per clock cycle?

<p>More than one instruction (C)</p> Signup and view all the answers

Which of the following best describes Instruction-Level Parallelism (ILP)?

<p>Parallel execution of multiple instructions (D)</p> Signup and view all the answers

Control hazards in pipelining are primarily caused by what type of instructions?

<p>Branch instructions (C)</p> Signup and view all the answers

What technique is used to handle control hazards in pipelining?

<p>Branch prediction (A)</p> Signup and view all the answers

Which of the following is considered a limitation of Instruction-Level Parallelism (ILP)?

<p>Dependencies between instructions (C)</p> Signup and view all the answers

Which cache miss occurs when data accessed is not present in the cache, regardless of its access history?

<p>Compulsory Miss (A)</p> Signup and view all the answers

What is the primary goal of prefetching in cache optimization?

<p>To minimize cache misses (D)</p> Signup and view all the answers

In a write-back cache policy, what happens when a cache block is evicted?

<p>The data is written to main memory only if it has been modified (D)</p> Signup and view all the answers

What is the main purpose of branch prediction in computer architecture?

<p>To reduce control hazards in instruction pipelines (D)</p> Signup and view all the answers

Which of these is NOT a type of branch prediction technique?

<p>Selective Prediction (D)</p> Signup and view all the answers

Which model of parallelism involves processes communicating via message passing?

<p>Distributed Memory (C)</p> Signup and view all the answers

What is a key challenge associated with parallel computing?

<p>Ensuring efficient synchronization and load balancing between processors (D)</p> Signup and view all the answers

What is NOT a characteristic of multi-core architecture?

<p>Exclusive access to resources by each core (A)</p> Signup and view all the answers

Flashcards

Pipelining

A technique that divides instruction execution into stages, allowing multiple instructions to overlap execution and improve performance.

Structural Hazard

A type of hazard that occurs when multiple instructions need the same hardware resource at the same time.

Data Hazard

A type of hazard that occurs when an instruction needs the result of a previous instruction, causing a delay.

Control Hazard

A type of hazard that occurs when branch instructions change the flow of execution, causing confusion in the pipeline.

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Instruction-Level Parallelism (ILP)

The extent to which multiple instructions can be executed simultaneously.

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Superscalar Processors

Processors that use multiple pipelines or functional units to execute more than one instruction per clock cycle.

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Out-of-Order Execution

The act of reordering instructions to execute them in an order that maximizes resource utilization.

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Speculative Execution

Executing instructions before their conditions are resolved, taking a 'risk' for potential performance gains.

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What is cache?

A small, fast memory located near the processor to store frequently used data, reducing access time.

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What is a cache hierarchy?

Multiple levels of caches (L1, L2, L3) with increasing size and decreasing speed. Each level serves as a buffer for the next level, further reducing access time.

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What is cache associativity?

Strategies to manage how data is placed in and retrieved from the cache, balancing speed and hit rate. Examples include direct-mapped (each block has a fixed location), set-associative (blocks compete for a limited number of sets), and fully-associative (each block can go anywhere).

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How do cache write policies work?

Methods to write data to the cache and main memory. Write-through immediately updates both, while write-back delays updates to main memory until the block is evicted, optimizing write performance.

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What is cache prefetching?

A technique where data is fetched before it is needed based on access patterns, reducing latency. This anticipates what data will be needed, bringing it into the cache beforehand.

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How does cache block size impact performance?

A measure of the amount of data loaded into the cache at once. Larger blocks improve spatial locality (data close together likely used together), but also lead to higher miss penalties if the wrong data is fetched.

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What are cache replacement policies?

Strategies to manage which blocks are evicted from the cache when it's full. Examples include Least Recently Used (LRU), Random Replacement, and First-In, First-Out (FIFO).

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What is branch prediction?

A technique to predict the outcome of branch instructions (if-else, loops) before they are resolved, leading to faster execution. Examples include static prediction (assuming a specific outcome) and dynamic prediction (using historical data to predict).

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Study Notes

Pipeline

  • Pipelining overlaps instruction execution, boosting throughput without higher clock speeds.
  • Divides instruction execution into stages (fetch, decode, execute, memory access, write-back).
  • A typical 5-stage pipeline includes instruction fetch, decode, execution, memory access, and write-back.
  • Advantages include increased throughput and efficient resource usage.
  • Hazards include structural (hardware limitations), data (instruction dependencies), and control (branching).
  • Solutions for hazards involve forwarding, stalls, reordering, branch prediction, delayed branching, or pipeline flushing.

ILP (Instruction-Level Parallelism) & Superscalar

  • ILP is the potential for multiple concurrent instruction execution.
  • Exploits parallelism within code for performance enhancement.
  • Techniques include pipelining, superscalar execution (multiple parallel functional units), out-of-order execution (instruction reordering for maximum utilization), and speculative execution (executing instructions before confirmation).
  • Superscalar processors dispatch multiple instructions per clock cycle using multiple pipelines or functional units.
  • Key features include parallel instruction dispatch, dynamic instruction scheduling, and dependency checking to avert hazards.
  • Limitations involve instruction dependencies, branch instructions, and resource constraints.

Cache Optimization

  • Cache is a fast, small memory near the processor to accelerate access to frequently used data.
  • Cache hierarchies (L1, L2, L3) reduce latency by progressively placing caches closer to the processor.
  • Associativity (direct-mapped, set-associative, fully-associative) balances speed and hit rate.
  • Write policies (write-through, write-back) manage data updates to memory.
  • Prefetching fetches data before required based on access patterns.
  • Block size affects performance; larger blocks improve spatial locality but increase miss penalties.
  • Replacement policies (LRU, random, FIFO) handle cache block eviction.
  • Cache miss types include compulsory miss (first access), conflict miss (block conflicts in certain cache organizations), and capacity miss (working data set exceeds cache size).

Branch Prediction

  • Branch prediction anticipates branch outcomes (e.g., if/else, loops) optimizing processor flow.
  • Techniques include static prediction (always predict taken or not taken) and dynamic prediction (uses past outcomes).
  • Dynamic predictors include 1-bit predictors (simple, based on last outcome) and 2-bit predictors (prevents frequent changes in prediction).
  • Branch target buffers store branch addresses for faster execution.
  • Global history registers observe recent branch decisions to predict patterns better.
  • Speculative execution executes instructions based on prediction; incorrect prediction causes pipeline flushing.

Parallel Computing

  • Parallel computing employs multiple processors or threads to simultaneously execute parts of a task.
  • Parallelism types include data parallelism (same operation on separate data elements) and task parallelism (separating tasks among processors).
  • Parallelism models include shared memory (all processors share access) and distributed memory (processors have their individual memories, relying on message passing).
  • Challenges include load balancing, data synchronization, and communication overhead.

Multi-Core Architecture

  • Multi-core processors feature multiple independent processing units (cores) on a single chip, improving efficiency and performance.
  • Key aspects include shared resources (caches, memory controllers, buses shared between cores) and communication mechanisms (shared memory or message passing).
  • Multi-core processors reduce power consumption by lowering clock speeds, thus reducing heat output.
  • Multi-core architectures prove suitable for multi-threaded applications and virtualization.

Verilog

  • No details provided on Verilog in the text.

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Description

This quiz explores the concepts of pipelining and instruction-level parallelism (ILP) within computer architecture. You'll learn about the stages of instruction execution, the advantages of pipelining, and the types of hazards that can occur. Additionally, it covers superscalar execution and various techniques to enhance performance.

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