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CENG 450 Computer Systems and Architecture Lecture 8

CENG 450 Computer Systems and Architecture Lecture 8

CENG 450 Computer Systems and Architecture Lecture 8. Amirali Baniasadi amirali@ece.uvic.ca. This Lecture. ILP Scheduling. What Is an ILP?. Principle: Many instructions in the code do not depend on each other Result: Possible to execute them in parallel

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720 views • 61 slides
CENG 450 Computer Systems and Architecture Lecture 8

CENG 450 Computer Systems and Architecture Lecture 8

CENG 450 Computer Systems and Architecture Lecture 8. Amirali Baniasadi amirali@ece.uvic.ca. This Lecture. ILP Scheduling. What Is an ILP?. Principle: Many instructions in the code do not depend on each other Result: Possible to execute them in parallel

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612 views • 61 slides
Instruction-Level Parallelism

Instruction-Level Parallelism

Instruction-Level Parallelism. CS448. Instruction Level Parallelism (ILP). Pipelining Limited form of ILP Overlapping instructions, these instructions can be evaluated in parallel (to some degree)

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651 views • 47 slides
Advanced Computer Architecture 5MD00 / 5Z033 Exploiting ILP with SW approaches

Advanced Computer Architecture 5MD00 / 5Z033 Exploiting ILP with SW approaches

Advanced Computer Architecture 5MD00 / 5Z033 Exploiting ILP with SW approaches. Henk Corporaal www.ics.ele.tue.nl/~heco h.corporaal@tue.nl TUEindhoven 2007. Topics. Static branch prediction and speculation Basic compiler techniques Multiple issue architectures

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414 views • 41 slides
CENG 450 Computer Systems and Architecture Lecture 7

CENG 450 Computer Systems and Architecture Lecture 7

CENG 450 Computer Systems and Architecture Lecture 7. Amirali Baniasadi amirali@ece.uvic.ca. This Lecture. Pipelining ILP Scheduling. Limits to pipelining. Hazards: circumstances that would cause incorrect execution if next instruction were launched

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517 views • 39 slides
CENG 450 Computer Systems and Architecture Lecture 7

CENG 450 Computer Systems and Architecture Lecture 7

CENG 450 Computer Systems and Architecture Lecture 7. Amirali Baniasadi amirali@ece.uvic.ca. This Lecture. Pipelining ILP Scheduling. Limits to pipelining. Hazards: circumstances that would cause incorrect execution if next instruction were launched

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397 views • 39 slides
CS 194 Parallel Programming Creating and Using Threads

CS 194 Parallel Programming Creating and Using Threads

CS 194 Parallel Programming Creating and Using Threads. Katherine Yelick yelick@cs.berkeley.edu http://www.cs.berkeley.edu/~yelick/cs194f07. Parallel Programming Models. Programming model is made up of the languages and libraries that create an abstract view of the machine Control

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514 views • 36 slides
Pipelining and Exploiting Instruction-Level Parallelism (ILP)

Pipelining and Exploiting Instruction-Level Parallelism (ILP)

Pipelining and Exploiting Instruction-Level Parallelism (ILP). Pipelining and Instruction-Level Parallelism (ILP). Definition of basic instruction block Increasing Instruction-Level Parallelism (ILP) & Size of Basic Block: Using Loop Unrolling MIPS Loop Unrolling Example.

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442 views • 24 slides
Pipelining and Exploiting Instruction-Level Parallelism (ILP)

Pipelining and Exploiting Instruction-Level Parallelism (ILP)

Pipelining and Exploiting Instruction-Level Parallelism (ILP). Pipelining increases performance by overlapping the execution of independent instructions. The CPI of a real-life pipeline is given by (assuming ideal memory): Pipeline CPI = Ideal Pipeline CPI + Structural Stalls + RAW Stalls

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452 views • 14 slides
Single-Chip Multi-Processors (CMP)

Single-Chip Multi-Processors (CMP)

Single-Chip Multi-Processors (CMP). Bharath Ambale Venkatesh 10/24/2007. Trends. Increasing processor size/speed leads to increase in power required Increasing heat generated leads to need of cooling components Increase in network speeds is much slower than increase in processor speeds

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222 views • 10 slides
Single-Chip Multi-Processors (CMP)

Single-Chip Multi-Processors (CMP)

Single-Chip Multi-Processors (CMP). Bharath Ambale Venkatesh 10/24/2007. Trends. Increasing processor size/speed leads to increase in power required Increasing heat generated leads to need of cooling components Increase in network speeds is much slower than increase in processor speeds

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210 views • 10 slides

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