'Read operands' diaporamas de présentation

Advanced Topic: High Performance Processors

Advanced Topic: High Performance Processors. CS M151B Spring 02. High Performance Processor Design Techniques. Main Idea: Exploit as much parallelism and hide as much overhead as possible Instruction Level Parallelism Scoreboarding Reservation Station (Tomasulo Algorithm)

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John Kubiatowicz Electrical Engineering and Computer Sciences University of California, Berkeley

CS252 Graduate Computer Architecture Lecture 7 Scoreboard, Tomasulo , Register Renaming February 8 th , 2012. John Kubiatowicz Electrical Engineering and Computer Sciences University of California, Berkeley http://www.eecs.berkeley.edu/~kubitron/cs252.

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1.1k views • 89 slides

Lecture 9 Dynamic Scheduling of Pipeline

Lecture 9 Dynamic Scheduling of Pipeline. Static vs Dynamic Scheduling. Static Scheduling by compiler Code motion for LD delay slots and branch delay slots Code motion for avoiding data dependency In-order instruction issue:

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Instruction Level Parallelism

Instruction Level Parallelism. 1. Scoreboard and Tomasulo algorithms. Definition of ILP. ILP=Potential overlap of execution among instructions. Overlapping possible if: No Structural Hazards No RAW, WAR of WAW Stalls No Control Stalls. Hardware Schemes to exploit ILP. Why?

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Advanced Pipelining

Advanced Pipelining. Out of Order Processors. COMP25212. Overview and Learning Outcomes. Find out how modern processors work Understand the evolution of processors Learn how out-of-order processors can improve processors performance

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September 15, 2000 Prof. John Kubiatowicz

CS252 Graduate Computer Architecture Lecture 5 Software Scheduling around Hazards Hardware* Out-of-order Scheduling. September 15, 2000 Prof. John Kubiatowicz. Techniques to Increase ILP. Forwarding Branch Prediction Superpipelining Superscalar with Static Multiple Issue VLIW

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Dynamic instruction scheduling

Instr. gets stuck here. IF. ID. EX. M. WB. Dynamic instruction scheduling. Key idea: allow subsequent independent instructions to proceed DIVD F0,F2,F4 ; takes long time ADDD F10,F0,F8 ; stalls waiting for F0 SUBD F12,F8,F13 ; Let this instr. bypass the ADDD

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639 views • 48 slides

Lecture 5 Section A.8 Branch Hazards and Dynamic Scheduling via scoreboarding

CS 203A Advanced Computer Architecture. Lecture 5 Section A.8 Branch Hazards and Dynamic Scheduling via scoreboarding. Instructor: L.N. Bhuyan. Control Hazards. Branch problem: branches are resolved in EX stage ? 2 cycles penalty on taken branches

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Dynamic Scheduling

Dynamic Scheduling. Pipelines rely on instruction flow as scheduled by the compiler (whether optimized or not)

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CENG 450 Computer Systems and Architecture Lecture 9

CENG 450 Computer Systems and Architecture Lecture 9. Amirali Baniasadi amirali@ece.uvic.ca. This Lecture. ILP Scheduling. Dynamic Scheduling. Dynamic Scheduling: Hardware rearranges the order of instruction execution to reduce stalls Disadvantages Hardware much more complex Key idea

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Advanced Pipelining and Instruction Level Parallelism (ILP)

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Lecture 20: Advanced pipelining techniques

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A.8 Dynamic Scheduling with a Scoreboard

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Dynamic Scheduling : Overcoming Data Hazards via Scoreboarding

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Pipelining (Dynamic Scheduling Through Hardware Schemes)

Pipelining (Dynamic Scheduling Through Hardware Schemes). Static vs Dynamic Scheduling. Static Scheduling by compiler Code scheduling for LD delay slots and branch delay slots Code scheduling for avoiding data dependency

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Scoreboarding

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Lecture 18: Instruction Level Parallelism

Lecture 18: Instruction Level Parallelism. Computer Engineering 585 Fall 2001. Processor Micro-arch. with Scoreboard. Registers. Data buses. FP mult. FP divide. FP add. Integer unit. Scoreboard. Control/. Control/. status. status. Four Stages of Scoreboard Control.

287 views • 19 slides