'Bnez r1' presentation slideshows

Topic 3

Topic 3. Exploitation of Instruction Level Parallelism. The secret to creativity is knowing how to hide your sources. Albert Einstein. Reading List. Slides: Topic3x Henn&Patt: Chapters 3 & 4 Other assigned readings from homework and classes. Instruction Level Parallelism .

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EEL 5764 Graduate Computer Architecture Chapter 2 - Instruction Level Parallelism

EEL 5764 Graduate Computer Architecture Chapter 2 - Instruction Level Parallelism. Ann Gordon-Ross Electrical and Computer Engineering University of Florida http://www.ann.ece.ufl.edu/. These slides are provided by: David Patterson

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Chapter 3: Instruction-Level Parallelism

Chapter 3: Instruction-Level Parallelism. David Patterson Electrical Engineering and Computer Sciences University of California, Berkeley http://www.eecs.berkeley.edu/~pattrsn http://www-inst.eecs.berkeley.edu/~cs252. Original slides created by:. Outline. ILP Loop unrolling

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Chapter 2: Instruction-Level Parallelism

Chapter 2: Instruction-Level Parallelism. David Patterson Electrical Engineering and Computer Sciences University of California, Berkeley http://www.eecs.berkeley.edu/~pattrsn http://www-inst.eecs.berkeley.edu/~cs252. Original slides created by:. Outline. ILP Loop unrolling

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CS136, Advanced Architecture

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Lecture 4: Introduction to Advanced Pipelining

Lecture 4: Introduction to Advanced Pipelining. Prepared by: Professor David A. Patterson Computer Science 252, Fall 1996 Edited and presented by : Prof. Kurt Keutzer Computer Science 252, Spring 2000. Review: Evaluating Branch Alternatives. Two part solution:

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CPE 631 Lecture 09: Instruction Level Parallelism and Its Dynamic Exploitation

CPE 631 Lecture 09: Instruction Level Parallelism and Its Dynamic Exploitation. Aleksandar Milenkovi ? , milenka@ece.uah.edu Electrical and Computer Engineering University of Alabama in Huntsville. Outline. Instruction Level Parallelism (ILP) Recap: Data Dependencies

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Chapter 2-3: Basic Program Transformations

Chapter 2-3: Basic Program Transformations. Optimizing your code. Transforming the code to something different than the programmer wrote, but that still does the same thing, can have a huge impact on performance Is this a compiler subject or a computer architecture subject? Yes!

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Loop Unrolling & Predication

Loop Unrolling & Predication. CSE 820. Software Pipelining. With software pipelining a reorganized loop contains instructions from different iterations of the original loop. Sometimes called symbolic loop unrolling. Software Pipelined Loop.

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Lecture 17: Instruction Level Parallelism (ILP) & Input/Output (I/O)

Lecture 17: Instruction Level Parallelism (ILP) & Input/Output (I/O). Michael B. Greenwald Computer Architecture CIS 501 Fall 1999. Administration. HW #4 due today. HW #5 being handed out. (Notice it is due in 1 week!) Schedule: office hours are 1/2 hour early on Thursday

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Computer Architecture

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Computer Architecture Instruction Level Parallelism

Computer Architecture Instruction Level Parallelism. Dr. Esam Al-Qaralleh. Outline. ILP Compiler techniques to increase ILP Loop Unrolling Static Branch Prediction Dynamic Branch Prediction Overcoming Data Hazards with Dynamic Scheduling (Start) Tomasulo Algorithm Conclusion.

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Computer Architecture Instruction Level Parallelism

Computer Architecture Instruction Level Parallelism. Dr. Esam Al-Qaralleh. Outline. ILP Compiler techniques to increase ILP Loop Unrolling Static Branch Prediction Dynamic Branch Prediction Overcoming Data Hazards with Dynamic Scheduling (Start) Tomasulo Algorithm Conclusion.

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Lecture 8 Advanced Pipeline

Lecture 8 Advanced Pipeline. Technique Reduces. Advanced Pipelining and Instruction Level Parallelism. Loop unrolling Control stalls Basic pipeline scheduling RAW stalls Dynamic scheduling with scoreboarding RAW stalls Dynamic scheduling with register renaming WAR and WAW stalls

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Static Scheduling Techniques

Static Scheduling Techniques. Local scheduling (within a basic block) Loop unrolling Software pipelining (modulo scheduling) Trace scheduling Predication. 5 cycles/iteration. 14 cycles/4 iterations (3.5 cycles/iteration). Loop Unrolling (1 of 2). Unroll the loop (e.g., four times).

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ILP: Software Approaches

ILP: Software Approaches. Bazat pe slide-urile lui Vincent H. Berk. HW Support for More ILP. Avoid branch prediction by turning branches into conditionally executed instructions: If (X) then A = B op C else NOP If false, then neither store result nor cause exception

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ILP (Recap)

ILP (Recap). Instruction Level Parallelism. Basic Block (BB) ILP is quite small BB: a straight-line code sequence with no branches in except to the entry and no branches out except at the exit

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