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Questions and Answers
What is a key benefit of pipelining in execution?
What is a key benefit of pipelining in execution?
How does parallelism affect performance based on the content provided?
How does parallelism affect performance based on the content provided?
What is the calculated speedup for the pipelined laundry analogy given in the content?
What is the calculated speedup for the pipelined laundry analogy given in the content?
According to the analysis provided, what is the speedup formula for non-stop execution?
According to the analysis provided, what is the speedup formula for non-stop execution?
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What does the term 'number of stages' imply in the context of pipelining?
What does the term 'number of stages' imply in the context of pipelining?
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What is a structural hazard in the context of pipelining?
What is a structural hazard in the context of pipelining?
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Explain the concept of data hazards and give an example.
Explain the concept of data hazards and give an example.
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What is the purpose of forwarding in a pipelined processor?
What is the purpose of forwarding in a pipelined processor?
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Describe a load-use data hazard and its implications.
Describe a load-use data hazard and its implications.
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How does addressing affect the stages of execution in an x86 processor?
How does addressing affect the stages of execution in an x86 processor?
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What kind of stall cycles are needed if a comparison register is the destination of an immediately preceding load instruction?
What kind of stall cycles are needed if a comparison register is the destination of an immediately preceding load instruction?
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Explain how forwarding can resolve data hazards for branches.
Explain how forwarding can resolve data hazards for branches.
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What role does a branch prediction buffer (or branch history table) play in dynamic branch prediction?
What role does a branch prediction buffer (or branch history table) play in dynamic branch prediction?
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What happens to the pipeline if a branch prediction is incorrect?
What happens to the pipeline if a branch prediction is incorrect?
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Identify the consequence of a comparison register being a destination of two preceding ALU instructions in branch execution.
Identify the consequence of a comparison register being a destination of two preceding ALU instructions in branch execution.
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How does a 1-bit predictor potentially affect the accuracy of branch predictions in loops?
How does a 1-bit predictor potentially affect the accuracy of branch predictions in loops?
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What is the impact of deeper and superscalar pipelines on branch penalty?
What is the impact of deeper and superscalar pipelines on branch penalty?
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What should the processor do to begin fetching from the appropriate location after a branch decision?
What should the processor do to begin fetching from the appropriate location after a branch decision?
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What is the primary goal of code scheduling in a pipelined architecture?
What is the primary goal of code scheduling in a pipelined architecture?
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What happens during the stall on a branch instruction in pipelining?
What happens during the stall on a branch instruction in pipelining?
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How does branch prediction help reduce the penalty of pipeline stalls?
How does branch prediction help reduce the penalty of pipeline stalls?
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What is the difference between static and dynamic branch prediction?
What is the difference between static and dynamic branch prediction?
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What are the three types of hazards that pipelines can encounter?
What are the three types of hazards that pipelines can encounter?
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What role do pipeline registers play in a pipelined architecture?
What role do pipeline registers play in a pipelined architecture?
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In the MIPS pipeline, why is it important to compare registers and compute target early?
In the MIPS pipeline, why is it important to compare registers and compute target early?
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What is the impact of instruction set design on pipelined architecture complexity?
What is the impact of instruction set design on pipelined architecture complexity?
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How does a stalled pipeline affect overall processor performance?
How does a stalled pipeline affect overall processor performance?
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What technique can be used in MIPS pipelines to predict branches not taken?
What technique can be used in MIPS pipelines to predict branches not taken?
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What happens when an imprecise exception occurs in a pipeline?
What happens when an imprecise exception occurs in a pipeline?
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How does a deeper pipeline affect instruction-level parallelism (ILP)?
How does a deeper pipeline affect instruction-level parallelism (ILP)?
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What is the difference between static and dynamic multiple issue?
What is the difference between static and dynamic multiple issue?
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What role does speculation play in instruction execution?
What role does speculation play in instruction execution?
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How can compilers aid in speculation?
How can compilers aid in speculation?
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What happens in the case of an exception occurring on a speculatively executed instruction?
What happens in the case of an exception occurring on a speculatively executed instruction?
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How does a CPU resolve hazards during dynamic multiple issue?
How does a CPU resolve hazards during dynamic multiple issue?
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What is the purpose of using multiple issue in a pipeline?
What is the purpose of using multiple issue in a pipeline?
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What is the purpose of loop unrolling in programming?
What is the purpose of loop unrolling in programming?
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Explain how register renaming helps in loop unrolling.
Explain how register renaming helps in loop unrolling.
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In the context of dynamic multiple issue, what do superscalar processors do?
In the context of dynamic multiple issue, what do superscalar processors do?
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What is dynamic pipeline scheduling and its main advantage?
What is dynamic pipeline scheduling and its main advantage?
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How does a reservation station contribute to register renaming?
How does a reservation station contribute to register renaming?
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What role does speculation play in dynamic scheduling?
What role does speculation play in dynamic scheduling?
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Describe the concept of loop-carried anti-dependencies.
Describe the concept of loop-carried anti-dependencies.
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Why is it significant to manage data hazards in CPU architectures?
Why is it significant to manage data hazards in CPU architectures?
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How do dynamically scheduled CPUs ensure that code semantics are preserved?
How do dynamically scheduled CPUs ensure that code semantics are preserved?
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What is the calculation for IPC in the provided loop unrolling example?
What is the calculation for IPC in the provided loop unrolling example?
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Study Notes
Pipelining Analogy
- Pipelining is analogous to a laundry process where multiple tasks (like washing, drying, and folding) are performed in parallel on different items.
- This overlapping execution increases the overall speed of the laundry process.
Parallelism and Performance
- Parallelism, like in pipelining, can significantly improve performance.
- This improvement is due to the ability to perform different tasks simultaneously.
Overview of Pipelining
- Pipelining is a technique that allows for overlapping execution of instructions in a processor.
- This leads to a faster overall execution time by breaking down instructions into smaller stages and processing them concurrently.
Speedup Calculation
- Speedup is the ratio of the time taken for non-pipelined execution to the time taken for pipelined execution.
- In a scenario involving four loads, speedup is calculated as 8/3.5, which is approximately 2.3.
- This indicates a significant performance improvement using pipelining.
Non-Stop Pipelining
- Non-stop pipelining refers to a scenario where the pipeline is always kept busy with instructions.
- This leads to a maximum speedup that is proportional to the number of stages in the pipeline.
- With n stages, the speedup is approximately 2n/0.5n + 1.5, which simplifies to almost 4 (approaching the number of stages).
x86 Architecture
- x86 instructions range from 1 to 17 bytes
- Features simple and consistent instruction formats
- Allows decoding and reading registers in one step
- Uses load/store addressing
- Allows address calculation in the third stage and memory access in the fourth stage
- Memory operands have alignment, allowing memory access to take a single cycle
Hazards in Pipelined Architecture
- Hazards are situations that prevent the next instruction from beginning in the next cycle.
- Structural hazards occur when a necessary resource is unavailable.
- Data hazards result from needing to wait for a previous instruction to finish reading/writing data.
- Control hazards happen when determining a control action depends on outcomes from the previous instruction.
Structural Hazards
- Arises from conflicts in resource use.
- For example, MIPS pipeline requires separate instruction/data memories or caches to address the conflict between instruction and data access.
Data Hazards
- Occur when an instruction depends on the completion of data access by a previous instruction.
- Forwarding (aka bypassing) can be used to avoid stalls by utilizing the result as soon as it's computed.
Load-Use Data Hazards
- Forwarding might not prevent stalls if the value is not computed when needed.
- These hazards prevent backward forwarding in time.
Code Scheduling to Avoid Stalls
- Instructions can be reordered to avoid using the loaded result in the next instruction.
- This optimization can significantly reduce the execution cycle count.
Control Hazards
- Branch instructions are necessary to determine the control flow of the program.
- The pipeline might not be able to fetch the correct instruction due to the branch outcome being determined later.
- Hardware can be added to compute the branch target early in the pipeline.
Stall on Branch
- The processor can stall until the branch outcome is determined before fetching the next instruction.
Branch Prediction
- Longer pipelines might not be able to determine the branch outcome early enough for efficient execution.
- Speculatively predicting the branch outcome can mitigate the stalling penalty.
- MIPS can predict branches as not taken, fetching the instruction after the branch without delays.
More Realistic Branch Prediction
- Static branch prediction relies on the usual branch behavior.
- Dynamic branch prediction uses hardware to measure the actual branch behavior.
MIPS Pipelined Datapath
- The MIPS pipelined datapath consists of five stages: IF (Instruction Fetch), ID (Instruction Decode), EX (Execute), MEM (Memory), and WB (Write Back).
- These stages are connected by pipeline registers to hold information from the preceding cycle.
Data Hazards for Branches
- To avoid stalls, forwarding can be used if the comparison register is the destination of a preceding ALU instruction or the second preceding load instruction.
- For deeper pipelines, branch prediction is used to avoid the large branch penalty.
Dynamic Branch Prediction
- Uses a branch prediction buffer to store the branch outcome based on recent branch instruction addresses.
- It predicts the same outcome in future execution, fetching from the fall-through or target and updating the prediction if wrong.
Imprecise Exceptions
- The pipeline can be stalled and the state saved, including the exception cause.
- This simplifies the hardware and allows the exception handler to determine which instructions had exceptions, which need to be completed or flushed.
Instruction-Level Parallelism (ILP)
- Achieved through pipelining, multiple issue, and speculation.
- Deeper pipelines can reduce the work per stage.
- Multiple-issue architecture replicates pipeline stages, allowing for multiple instructions per clock cycle, leading to a CPI < 1 and peak IPC > 1.
- Dependencies reduce this in practice.
Multiple Issue
- Static multiple issue utilizes the compiler to group instructions into issue slots and avoid hazards.
- Dynamic multiple issue allows the CPU to examine the instructions and issue multiple instructions each cycle at runtime.
Speculation
- The processor "guesses" the outcome of an instruction before completing its execution.
- It starts the operation immediately and only rolls back if the guess was wrong.
- This is commonly applied to branch outcome and load operations.
Loop Unrolling
- Replicates the loop body to improve parallelism and reduce loop control overhead.
- Register renaming is used to allocate different registers for each replication, avoiding anti-dependencies.
Dynamic Multiple Issue
- Super-scalar processors dynamically decide the number of instructions to issue each cycle, avoiding hazards dynamically.
Dynamic Pipeline Scheduling
- Allows the CPU to execute instructions out of order, avoiding stalls.
- Results are committed to registers in order though.
Dynamically Scheduled CPU
- Reservation stations buffer instructions and operands until all dependencies are satisfied.
- This allows for dynamic scheduling and avoids stalls due to data dependencies.
Register Renaming
- Reservation stations and the reorder buffer provide register renaming.
- This allows for the register to be overwritten when the operand is copied to the reservation station, avoiding anti-dependencies.
Speculation
- Predicts branch outcomes and loads, allowing for operations to start before completing dependencies and improving performance.
Dynamic scheduling benefits:
- Eliminates the need for compiler scheduling.
- Increases instruction throughput and reduces stall cycles.
- Enables efficient dynamic branch prediction and load speculation, boosting performance.
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Description
This quiz explores the essential concepts of pipelining in computer architecture. It covers the principles of parallelism, performance improvement through pipelining, and speedup calculations. Perfect for students looking to deepen their understanding of how processors execute instructions efficiently.