'Dynamic branch prediction' presentation slideshows

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Static Branch Prediction

Static Branch Prediction. Branch prediction schemes can be classified into static and dynamic schemes. Static methods are usually carried out by the compiler. They are static because the prediction is already known before the program is executed. Some of the static prediction schemes include:

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Instruction-Level Parallelism Dynamic Scheduling

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CSE 420 Computer Architecture Chapter 2 - DS-Speculation

CSE 420 Computer Architecture Chapter 2 - DS-Speculation. Sandeep K. S. Gupta School of Computing and Informatics Arizona State University. Based on Slides by David Patterson, Dave Culler, A. Lebeck. Outline. Tumasulo Review Speculation Speculative Tomasulo Example.

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Computer Architecture

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Computer Architecture

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Control Hazard Review

Control Hazard Review. The nub of the problem: In what pipeline stage does the processor fetch the next instruction?

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Out-of-Order Execution & Register Renaming

Asanovic/Devadas Spring 2002 6.823. Out-of-Order Execution & Register Renaming. Krste Asanovic Laboratory for Computer Science Massachusetts Institute of Technology. Asanovic/Devadas Spring 2002 6.823. Average Run-Length between Branches. Average dynamic instruction mix from SPEC92:

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Pipelining

Pipelining. ECE-445 Computer Organization Dr. Ron Hayne Electrical and Computer Engineering. I 1. I 2. I 3. F 1. E 1. F 2. E 2. F 3. E 3. Sequential Execution. I 1. F 1. E 1. I 2. F 2. E 2. I 3. F 3. E 3. Pipelined Execution. Pipelining. Interstage Buffer B1.

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Dynamic Branch Prediction

Dynamic Branch Prediction. Why does prediction work? Underlying algorithm has regularities Data that is being operated on has regularities Instruction sequence has redundancies that are artifacts of way that humans/compilers think about problems

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Goal: Reduce the Penalty of Control Hazards

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CPU Pipelining Issues

CPU Pipelining Issues. What have you been beating your head against?. This pipe stuff makes my head hurt!. Finishing up 4.5-4.8. Pipelining. Improve performance by increasing instruction throughput Ideal speedup is number of stages in the pipeline. Do we achieve this?. Pipelining.

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(Recap) Control Hazards

(Recap) Control Hazards. Control (Branch) Hazard. A : beqz r2, label B : --------- label: P : Problem : The outcome of the branch (taken/not taken) is determined deep in the pipeline Do not know whether to execute B or execute P? Solutions :

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Branch statistics

Branch statistics. Branches occur every 4-6 instructions (16-25%) in integer programs; somewhat less frequently in scientific ones Unconditional branches : 20% (of branches) Conditional (80%) 66% forward (i.e., slightly over 50% of total branches). Evenly split between Taken and Not-Taken

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Class Project

Class Project. Spring 2006 ECE554 Digital Engineering Laboratory. Project Assignment. Design a non-trivial computer with an original instruction set architecture (ISA) Four key requirements It must be an original ISA Somewhat negotiable It must be non-trivial It must be tractable

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Computer Organization and Architecture (AT70.01) Comp. Sc. and Inf. Mgmt. Asian Institute of Technology

Computer Organization and Architecture (AT70.01) Comp. Sc. and Inf. Mgmt. Asian Institute of Technology. Instructor : Dr. Sumanta Guha Slide Sources : Based on CA: aQA by Hennessy/Patterson. Supplemented from various freely downloadable sources .

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Branch Hazards

Branch Hazards. So far, the branch outcome is determined in the MEM stage:. Flush these instructions (Set control values to 0). PC. Essentially, this just acts on the assumption that a branch will NOT be taken. Reducing Branch Delay. Move hardware to determine outcome to ID stage

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