4.5 Pipelining. Pipelining is Natural!

Size: px
Start display at page:

Download "4.5 Pipelining. Pipelining is Natural!"

Transcription

1 4.5 Pipelining Ovelapped execution of instuctions Instuction level paallelism (concuency) Example pipeline: assembly line ( T Fod) Response time fo any instuction is the same Instuction thoughput inceases Speedup = k x numbe of steps (stages) Theoy: k is a lage constant Reality: Pipelining intoduces ovehead 85 Pipelining is Natual! Laundy Example Ann, Bian, Cathy, Dave each have one load of clothes to wash, dy, and fold Washe takes 30 minutes A B C D Dye takes 30 minutes Folde takes 30 minutes Stoe takes 30 minutes to put clothes into dawes 86

2 Sequential Laundy 6 PM AM T a s k O d e A B C D Time Sequential laundy takes 8 hous fo 4 loads If they leaned pipelining, how long would laundy take? 87 Pipelined Laundy: Stat wok ASAP 12 2 AM 6 PM T a s k O d e A B C D Time Pipelined laundy takes 3.5 hous fo 4 loads! 88

3 Pipelining Lessons T a s k O d e 6 PM Time A B C D Pipelining doesn t help latency of single task, it helps thoughput of entie wokload Multiple tasks opeating simultaneously using diffeent esouces Potential speedup = Numbe pipe stages Pipeline ate limited by slowest pipeline stage Unbalanced lengths of pipe stages educes speedup Time to fill pipeline and time to dain it educes speedup Stall fo Dependences 89 Five-stages of multi-cycle DP 90

4 The Five Stages of the Load Instuction Cycle 1 Cycle 2 Cycle 3 Cycle 4 Cycle 5 Load Ifetch Reg/Dec Exec Mem W Ifetch: Instuction Fetch Fetch the instuction fom the Instuction Memoy Reg/Dec: Registes Fetch and Instuction Decode Exec: Calculate the memoy addess Mem: Read the data fom the Data Memoy W: Wite the data back to the egiste file 91 Pipelined Execution Time IFetch Dcd Exec Mem WB IFetch Dcd Exec Mem WB IFetch Dcd Exec Mem WB IFetch Dcd Exec Mem WB IFetch Dcd Exec Mem WB Pogam Flow IFetch Dcd Exec Mem WB On a pocesso multiple instuctions ae in vaious stages at the same time. Assume each instuction takes five cycles 92

5 Single Cycle, Multiple Cycle, vs. Pipeline Single Cycle Implementation: Clk Cycle 1 Cycle 2 Load Stoe Waste Multiple Cycle Implementation: Cycle 1 Cycle 2 Cycle 3 Cycle 4 Cycle 5 Cycle 6 Cycle 7 Cycle 8 Cycle 9 Cycle 10 Clk Load Ifetch Reg Exec Mem W Stoe Ifetch Reg Exec Mem R-type Ifetch Pipeline Implementation: Load Ifetch Reg Exec Mem W Stoe Ifetch Reg Exec Mem W R-type Ifetch Reg Exec Mem W 93 Why Pipeline? Suppose 100 instuctions ae executed (IC) The single cycle machine has a cycle time of 45 ns (CC) The multicycle and pipeline machines have cycle times of 10 ns The multicycle machine has a CPI of 4.2 Single Cycle Machine 100 inst x 1 CPI x 45 ns/cycle = 4500 ns Multicycle Machine 100 inst x 4.2 CPI x 10 ns/cycle = 4200 ns Ideal pipelined machine (100 inst x 1 CPI + 4 cycle ovehead) x 10 ns/cycle = 1040 ns Ideal pipelined vs. single cycle speedup 4500 ns / 1040 ns = 4.33 What has not yet been consideed? 94

6 Gaphically Repesenting Pipelines Time (clock cycles) I n s t. Inst 0 Inst 1 Can help with answeing questions like: How many cycles does it take to execute this code? What is the doing duing cycle 4? Ae two instuctions tying to use the same esouce at the same time? 95 Why Pipeline? Because the esouces ae thee! Time (clock cycles) I n s t. O d e Inst 0 Inst 1 Inst 2 Inst 3 Inst 4 96

7 Can pipelining get us into touble? Yes: Pipeline Hazads stuctual hazads: attempt to use the same esouce two diffeent ways at the same time Two instuctions use the memoy at the same time data hazads: attempt to use item befoe it is eady instuction depends on esult of pio instuction still in the pipeline contol hazads: attempt to make a decision befoe condition is evaluated (banch instuctions) Can always esolve hazads by waiting pipeline contol must detect the hazad take action (o delay action) to esolve hazads 97 Stuctual Hazad 1: Single Memoy Time (clock cycles) I n s t. O d e Load Inst 1 Inst 2 Inst 3 Inst 4 I$ Reg D$ Reg I$ Reg D$ Reg I$ I$ Reg D$ Reg Reg D$ Reg I$ Reg D$ Reg IM = DM => Read same memoy twice in one clock cycle 98

8 Stuctual Hazad 2: Registe File I n s t. O d e Load Inst 1 Inst 2 Inst 3 Inst 4 I$ Reg D$ Reg I$ Reg D$ Reg I$ I$ Reg D$ Reg Reg D$ Reg Time (clock cycles) I$ Reg D$ Reg Ty ead and wite to egistes simultaneously 99 Stuctual Hazads: Solutions Stuctual hazad 1: single memoy Two memoies? infeasible and inefficient => Two Level 1 caches (instuction and data) Stuctual hazad 2: egiste file Registe access takes less that ½ stage time => Use the following convention: Always Wite duing fist half of each cycle Always Read duing second half of each cycle Both, Read and Wite can be pefomed duing the same clock cycle (a small delay between) 100

9 Contol Hazad: Banch Inst. (1/2) Banch decision-making hadwae in stage Two moe instuctions afte the banch will always be fetched, whethe o not the banch is taken Desied functionality of a banch if we do not take the banch, don t waste any time and continue executing nomally if we take the banch, don t execute any instuctions afte the banch, just go to the desied label 101 Contol Hazad: Banch Inst. (2/2) Initial Solution: Stall until decision is made Inset no-op instuctions: those that accomplish nothing, just take time Dawback: banches take 3 clock cycles each (assuming compaato is put in stage) L1: ADD R2, R2, #2 IF ID EX MEM WB SUB R3, R1, #3 IF ID EX MEM WB BEQ R5, R4, L1 IF ID EX MEM WB ADD R2, R2, #2 S S IF ID EX MEM S = stall 102

10 Banch Pediction Longe pipelines can t eadily detemine banch outcome ealy Stall penalty becomes unacceptable Pedict outcome of banch Only stall if pediction is wong In MIPS pipeline Can pedict banches not taken Fetch instuction afte banch, with no delay 103 MIPS with Pedict Not Taken Pedictio n coect Pedictio n incoect 104

11 Moe-Realistic Banch Pediction Static banch pediction Based on typical banch behavio Example: loop and if-statement banches Pedict backwad banches taken Pedict fowad banches not taken Dynamic banch pediction Hadwae measues actual banch behavio e.g., ecod ecent histoy of each banch Assume futue behavio will continue the tend When wong, stall while e-fetching, and update histoy 105 Data Hazad Instuction depends on esult of pio instuction still in the pipeline add 1,2,3 sub 4, 1,3 and 6, 1,7 o 8, 1,9 xo 10, 1,11 Poblem: 1 cannot be ead by othe instuctions befoe it is witten by the add. 106

12 Data Hazad on 1: Dependencies backwads in time ae hazads I n s t. O d e Time (clock cycles) add 1,2,3 sub 4,1,3 and 6,1,7 o 8,1,9 xo 10,1,11 IF ID/RF EX MEM WB Im Reg Dm Reg 107 Data hazad timing add 1,2,3 IF ID EX MEM WB sub 4,1,3 IF S S ID EX MEM WB and 6,1,7 IF ID EX MEM o 8,1,9 IF ID EX S = stall How to delete Stalls? 108

13 Data Hazad Solution: Fowad esult fom one stage to anothe I n s t. O d e Time (clock cycles) IF ID/RF EX MEM WB add 1,2,3 sub 4,1,3 and 6,1,7 o 8,1,9 xo 10,1,11 Im Reg Dm Reg o OK if define ead/wite popely 109 Data hazad timing Without fowading add 1,2,3 IF ID EX MEM WB sub 4,1,3 IF S S ID EX MEM WB and 6,1,7 IF ID EX MEM o 8,1,9 IF ID EX With fowading add 1,2,3 IF ID EX MEM WB sub 4,1,3 IF ID EX MEM WB and 6,1,7 IF ID EX MEM WB o 8,1,9 IF ID EX MEM WB 110

14 Fowading (o Bypassing): What about Loads Dependencies backwads in time ae hazads Time (clock cycles) IF ID/RF EX MEM WB lw 1,0(2) sub 4,1,3 Can t solve with fowading: Must delay/stall instuction dependent on loads 111 Data hazad equiing stalls Without fowading LD R1, 0(R2) IF ID EX MEM WB SUB R4, R1, R5 IF Stall stall ID EX MEM WB AND R6, R1, R7 IF ID EX MEM WB OR R8, R1, R9 IF ID EX MEM WB With fowading LD R1, 0(R2) IF ID EX MEM WB SUB R4, R1, R5 IF ID stall EX MEM WB AND R6, R1, R7 IF stall ID EX MEM WB OR R8, R1, R9 stall IF ID EX MEM WB 112

15 MIPS Pipelined Datapath 4.6 Pipelined Datapath and Contol MEM Right-to-left flow leads to hazads WB 113 Pipeline egistes Need egistes between stages To hold infomation poduced in pevious cycle 114

16 Pipeline Opeation Cycle-by-cycle flow of instuctions though the pipelined datapath Single-clock-cycle pipeline diagam Shows pipeline usage in a single cycle Highlight esouces used c.f. multi-clock-cycle diagam Gaph of opeation ove time We ll look at single-clock-cycle diagams fo load & stoe 115 IF fo Load, Stoe, 116

17 ID fo Load, Stoe, 117 EX fo Load 118

18 MEM fo Load 119 WB fo Load 120

19 EX fo Stoe 121 MEM fo Stoe 122

20 WB fo Stoe 123 Multi-Cycle Pipeline Diagam Fom showing esouce usage 124

21 Multi-Cycle Pipeline Diagam Taditional fom 125 Single-Cycle Pipeline Diagam State of pipeline in a given cycle 126

CpE 442. Designing a Pipeline Processor (lect. II)

CpE 442. Designing a Pipeline Processor (lect. II) CpE 442 Designing a Pipeline Pocesso (lect. II) CPE 442 hazads.1 Otline of Today s Lecte Recap and Intodction (5 mintes) Intodction to Hazads (15 mintes) Fowading (25 mintes) 1 cycle Load Delay (5 mintes)

More information

Instruction Level Parallelism

Instruction Level Parallelism Instruction Level Parallelism Pipelining, Hazards Appendix C, HPe Outline Pipelining, Hazards Branch prediction Static and Dynamic Scheduling Speculation Compiler techniques, VLIW Limits of ILP. Pipelining

More information

A Reconfigurable Frame Interpolation Hardware Architecture for High Definition Video

A Reconfigurable Frame Interpolation Hardware Architecture for High Definition Video A Reconfiguable Fame Intepolation Hadwae Achitectue fo High Definition Video Ozgu Tasdizen and Ilke Hamzaoglu Faculty of Engineeing and Natual Sciences, Sabanci Univesity 34956, Tuzla, Istanbul, Tukey

More information

Pipeline design. Mehran Rezaei

Pipeline design. Mehran Rezaei Pipeline design Mehran Rezaei Shift Left 2 pc Opcode ExtOp Cont Unit RegDst Addr Addr2 Addr npcsle Reg ALUSrc Mem 2 OVF Branch ALUCtr MemtoReg Mem Funct Extension ALUOp ALU Cont Shift Left 2 ID EXE MEM

More information

CS 152 Midterm 2 May 2, 2002 Bob Brodersen

CS 152 Midterm 2 May 2, 2002 Bob Brodersen CS 152 Midterm 2 May 2, 2002 Bob Brodersen Name Solutions Show your work if you want partial credit! Try all the problems, don t get stuck on one of them. Each one is worth 10 points. 1) 2) 3) 4) 5) 6)

More information

06 1 MIPS Implementation Pipelined DLX and MIPS Implementations: Hardware, notation, hazards.

06 1 MIPS Implementation Pipelined DLX and MIPS Implementations: Hardware, notation, hazards. 06 1 MIPS Implementation 06 1 Material from Chapter 3 of H&P (for DLX). Material from Chapter 6 of P&H (for MIPS). line: (In this set.) Unpipelined DLX Implementation. (Diagram only.) Pipelined DLX and

More information

Grant Spacing Signaling at the ONU

Grant Spacing Signaling at the ONU Gant Spacing Signaling at the ONU Glen Kame, Boadcom Duane Remein, Huawei May 2018 IEEE 802.3ca Task Foce, ittsbugh, A 1 Total Bust Size In 802.3ca, the OLT GATE message conveys only the payload length

More information

PIPELINING: BRANCH AND MULTICYCLE INSTRUCTIONS

PIPELINING: BRANCH AND MULTICYCLE INSTRUCTIONS PIPELINING: BRANCH AND MULTICYCLE INSTRUCTIONS Mahdi Nazm Bojnordi Assistant Professor School of Computing University of Utah CS/ECE 6810: Computer Architecture Overview Announcement Homework 1 submission

More information

H-DFT: A HYBRID DFT ARCHITECTURE FOR LOW-COST HIGH QUALITY STRUCTURAL TESTING

H-DFT: A HYBRID DFT ARCHITECTURE FOR LOW-COST HIGH QUALITY STRUCTURAL TESTING H-DFT: A HYBRID DFT ARCHITECTURE FOR LOW-COST HIGH QUALITY STRUCTURAL TESTING David M. Wu*, Mike Lin, Subhasish Mita, Kee Sup Kim, Anil Sabbavaapu, Talal Jabe, Pete Johnson, Dale Mach, Geg Paish Intel

More information

On the Design of LPM Address Generators Using Multiple LUT Cascades on FPGAs

On the Design of LPM Address Generators Using Multiple LUT Cascades on FPGAs Novembe 6, 006 1:58 Intenational Jounal of Electonics lpm IJE Intenational Jounal of Electonics Vol. **, No. **, ** 006, 1 18 On the Design of LPM Addess Geneatos Using Multiple LUT Cascades on FPGAs Hui

More information

EECS150 - Digital Design Lecture 9 - CPU Microarchitecture. CMOS Devices

EECS150 - Digital Design Lecture 9 - CPU Microarchitecture. CMOS Devices EECS150 - Digital Design Lecture 9 - CPU Microarchitecture Feb 17, 2009 John Wawrzynek Spring 2009 EECS150 - Lec9-cpu Page 1 CMOS Devices Review: Transistor switch-level models The gate acts like a capacitor.

More information

Compact Beamformer Design with High Frame Rate for Ultrasound Imaging

Compact Beamformer Design with High Frame Rate for Ultrasound Imaging Sensos & Tansduces 2014 by IFSA Publishing, S. L. http://www.sensospotal.com Compact Beamfome Design with High Fame Rate fo Ultasound Imaging Jun Luo, Qijun Huang, Sheng Chang, Xiaoying Song, Hao Wang

More information

Chapter 3 Instruction-Level Parallelism and its Exploitation (Part 1)

Chapter 3 Instruction-Level Parallelism and its Exploitation (Part 1) Chapter 3 Instruction-Level Parallelism and its Exploitation (Part 1) ILP vs. Parallel Computers Dynamic Scheduling (Section 3.4, 3.5) Dynamic Branch Prediction (Section 3.3) Hardware Speculation and Precise

More information

Slide Set 8. for ENCM 501 in Winter Term, Steve Norman, PhD, PEng

Slide Set 8. for ENCM 501 in Winter Term, Steve Norman, PhD, PEng Slide Set 8 for ENCM 501 in Winter Term, 2017 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary Winter Term, 2017 ENCM 501 W17 Lectures: Slide

More information

A QUERY BY HUMMING SYSTEM THAT LEARNS FROM EXPERIENCE

A QUERY BY HUMMING SYSTEM THAT LEARNS FROM EXPERIENCE A QUERY BY HUMMING SYSTEM THAT LEARNS FROM EXPERIENCE David Little, David Raffenspege, Byan Pado EECS Depatment Nothwesten Univesity Evanston, IL 60201 d-little,d-affenspege,pado@nothwesten.edu ABSTRACT

More information

Lecture 16: Instruction Level Parallelism -- Dynamic Scheduling (OOO) via Tomasulo s Approach

Lecture 16: Instruction Level Parallelism -- Dynamic Scheduling (OOO) via Tomasulo s Approach Lecture 16: Instruction Level Parallelism -- Dynamic Scheduling (OOO) via Tomasulo s Approach CSE 564 Computer Architecture Summer 2017 Department of Computer Science and Engineering Yonghong Yan yan@oakland.edu

More information

C2 Vectors C3 Interactions transfer momentum. General Physics GP7-Vectors (Ch 4) 1

C2 Vectors C3 Interactions transfer momentum. General Physics GP7-Vectors (Ch 4) 1 C2 Vectos C3 Inteactions tansfe momentum Geneal Phsics GP7-Vectos (Ch 4) 1 Solutions to HW When ou homewok is gaded and etuned, solutions will be available. Download PobViewe 1.4 www.phsics.pomona.edu/siideas/sicp.html

More information

e-workbook TECHNIQUES AND MATERIALS OF MUSIC Part I: Rudiments

e-workbook TECHNIQUES AND MATERIALS OF MUSIC Part I: Rudiments e-wokbook fo TECHNIQUES AND MATERIALS OF MUSIC Fom the Common Pactice Peiod Though the Tentieth Centuy ENHANCED SEVENTH EDITION Pat I: Rudiments Assignments in oksheet fomat by Thomas enamin Michael Hovit

More information

The game of competitive sorcery that will leave you spellbound.

The game of competitive sorcery that will leave you spellbound. A Game by Buce Basi The game of competitive socey that will leave you spellbound. 0 min 4+ 2- Toubles a-bewin! It s exam time at the School of Socey and the mischievous witches ae caft thei stongest potions

More information

Contents Slide Set 6. Introduction to Chapter 7 of the textbook. Outline of Slide Set 6. An outline of the first part of Chapter 7

Contents Slide Set 6. Introduction to Chapter 7 of the textbook. Outline of Slide Set 6. An outline of the first part of Chapter 7 CM 69 W4 Section Slide Set 6 slide 2/9 Contents Slide Set 6 for CM 69 Winter 24 Lecture Section Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary

More information

Outline. 1 Reiteration. 2 Dynamic scheduling - Tomasulo. 3 Superscalar, VLIW. 4 Speculation. 5 ILP limitations. 6 What we have done so far.

Outline. 1 Reiteration. 2 Dynamic scheduling - Tomasulo. 3 Superscalar, VLIW. 4 Speculation. 5 ILP limitations. 6 What we have done so far. Outline 1 Reiteration Lecture 5: EIT090 Computer Architecture 2 Dynamic scheduling - Tomasulo Anders Ardö 3 Superscalar, VLIW EIT Electrical and Information Technology, Lund University Sept. 30, 2009 4

More information

Music Technology Advanced Subsidiary Unit 1: Music Technology Portfolio 1

Music Technology Advanced Subsidiary Unit 1: Music Technology Portfolio 1 Peason Edexcel GCE Music Technology Advanced Subsidiay Unit 1: Music Technology Potfolio 1 Release date: Tuesday 1 Septembe 2015 Time: 60 hous Pape Refeence 6MT01/01 You must have: A copy of the oiginal

More information

Flagger Control for Resurfacing or Moving Operation. One-Lane Two-Way Operation

Flagger Control for Resurfacing or Moving Operation. One-Lane Two-Way Operation Flagger Control for esurfacing or Moving Operation 5 5 WOK AEA 5 5 DEVICE MINIMUM SET 1 SET SET THIS SET OF SIGNS IS PLACED WITH SIGN LEGEND TUNED AWAY FOM BOTH DIECTIONS OF TAFFIC UNTIL ESUFACING OPEATIONS

More information

Citrus Station Mimeo Report CES WFW-Lake Alfred, Florida Lake Alfred, Florida Newsletter No. 2 6.

Citrus Station Mimeo Report CES WFW-Lake Alfred, Florida Lake Alfred, Florida Newsletter No. 2 6. Newslette No. 2 6 Citus Station Mimeo Repot CES 70-13 Novembe 18, 1969 750-WFW-Lake Alfed, Floida 33850 Edito: W. F. Wadowski Havesting and Handling Section* Univesity of Floida Citus Expeiment Station

More information

Chapter 1: Choose a Research Topic

Chapter 1: Choose a Research Topic Chapte 1: Choose a Reseach Topic This chapte coves: Topic 1: Libay Reseach Basics Topic 2: Get to Know the Libay Topic 3: Seaching Online Databases Successful eseach begins with knowing the basics. Roaming

More information

Fill-in the following to understand stalling needs and forwarding opportunities

Fill-in the following to understand stalling needs and forwarding opportunities Fill-in the following to understand stalling needs and forwarding opportunities Instruction ADD4 ADD Receiving forwarding help Providing forwarding help Insists on Doesn t mind Doesn t mind Capable of

More information

Melodic Similarity - a Conceptual Framework

Melodic Similarity - a Conceptual Framework Melodic Similaity - a Conceptual Famewok Ludge Hofmann-Engl The Link +44 (0)20 8771 0639 ludge.hofmann-engl@vigin.net Abstact. Melodic similaity has been at the cente of eseach within the community of

More information

Precision Interface Technology

Precision Interface Technology Pecision Inteface Technology Phono Inteconnect Cables INTRODUCTION Signals fom catidges ae highly sensitive to hum, noise and vaious foms of intefeence. The connecting cable between the catidge and pe-amplifie

More information

Tomasulo Algorithm. Developed at IBM and first implemented in IBM s 360/91

Tomasulo Algorithm. Developed at IBM and first implemented in IBM s 360/91 Tomasulo Algorithm Developed at IBM and first implemented in IBM s 360/91 IBM wanted to use the existing compiler instead of a specialized compiler for high end machines. Tracks when operands are available

More information

Slide Set 6. for ENCM 369 Winter 2018 Section 01. Steve Norman, PhD, PEng

Slide Set 6. for ENCM 369 Winter 2018 Section 01. Steve Norman, PhD, PEng Slide Set 6 for ENCM 369 Winter 2018 Section 01 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary February 2018 ENCM 369 Winter 2018 Section

More information

A few questions to test your familiarity of Lab7 at the end of finishing all assigned parts of Lab 7

A few questions to test your familiarity of Lab7 at the end of finishing all assigned parts of Lab 7 EE457 Lab7 Questions page A few questions to test your familiarity of Lab7 at the end of finishing all assigned parts of Lab 7 1. A. In which parts or subparts of Lab 7 does the STALL signal cause the

More information

EWCM 900. technical user manual. electronic controller for compressors and fans

EWCM 900. technical user manual. electronic controller for compressors and fans EWCM 900 technical use manual electonic contolle fo compessos and fans Summay 1. INTRODUCTION...5 1.1. VERSIONS... 5 1.2. GENERAL CHARACTERISTICS... 5 2. USER INTERFACE...6 2.1. COMPRESSOR SECTION... 6

More information

CS152 Computer Architecture and Engineering Lecture 17 Advanced Pipelining: Tomasulo Algorithm

CS152 Computer Architecture and Engineering Lecture 17 Advanced Pipelining: Tomasulo Algorithm CS152 Computer Architecture and Engineering Lecture 17 Advanced Pipelining: Tomasulo Algorithm 2003-10-23 Dave Patterson (www.cs.berkeley.edu/~patterson) www-inst.eecs.berkeley.edu/~cs152/ CS 152 L17 Adv.

More information

Auburn University Marching Band

Auburn University Marching Band Aubun Univesity Maching Band Dea Pospective Dum Line Membe, Thank you fo you inteest in the 2018 Aubun Dum Line! The Aubun Univesity Maching Band has a poud tadition of exceent pefomances and geat schoo

More information

Fundamentals of Computer Systems

Fundamentals of Computer Systems Fundamentals of Computer Systems A Pipelined MIPS Processor Stephen A. Edwards Columbia University Summer 25 Technical Illustrations Copyright c 27 Elsevier Sequential Laundry Time Alice Bob Cindy Pipelined

More information

Out-of-Order Execution

Out-of-Order Execution 1 Out-of-Order Execution Several implementations out-of-order completion CDC 6600 with scoreboarding IBM 360/91 with Tomasulo s algorithm & reservation stations out-of-order completion leads to: imprecise

More information

Language and Music: Differential Hemispheric Dominance in Detecting Unexpected Errors in the Lyrics and Melody of Memorized Songs

Language and Music: Differential Hemispheric Dominance in Detecting Unexpected Errors in the Lyrics and Melody of Memorized Songs Human Bain Mapping 30:588 601 (2009) Language and Music: Diffeential Hemispheic Dominance in Detecting Unexpected Eos in the Lyics and Melody of Memoized Songs Takuya Yasui, 1,2,3 Kimitaka Kaga, 2,4 and

More information

Ranking Fuzzy Numbers by Using Radius of Gyration

Ranking Fuzzy Numbers by Using Radius of Gyration ustalian Jounal of Basic and pplied Sciences, (): 68-66, 00 ISSN 99-878 anking Fuzz Numbes b Using adius of Gation. S.H. Nassei, M. Sohabi Depatment of Mathematical Sciences, Mazandaan Univesit, P.O.Bo

More information

Flagger Control for Resurfacing or Moving Operation. One-Lane Two-Way Operation

Flagger Control for Resurfacing or Moving Operation. One-Lane Two-Way Operation Flagger Control for esurfacing or Moving Operation 5 DEVICE MINIMUM WOK AEA SET 1 SET SET 3 SET 4 ACTIVE INACTIVE ACTIVE INACTIVE SIGN SETS 1 AND 3 AE ACTIVE AND (I.E., SIGNS FACE ONCOMING TAFFIC). SIGN

More information

Chapter 4. Minor Keys and the Diatonic Modes BASIC ELEMENTS

Chapter 4. Minor Keys and the Diatonic Modes BASIC ELEMENTS Chapte 4 Supplementay Execises - 1 Chapte 4 Mino Keys and the Diatonic Modes BASIC ELEMENTS I. Witing mino scales: Relative majo and mino A. Fo each majo key below, wite out the majo scale on the left-hand

More information

On the Rules of Low-Power Design

On the Rules of Low-Power Design On the Rules of Low-Power Design (and How to Break Them) Prof. Todd Austin Advanced Computer Architecture Lab University of Michigan austin@umich.edu Once upon a time 1 Rules of Low-Power Design P = acv

More information

Version Capital public radio. Brand, Logo and Style Guide

Version Capital public radio. Brand, Logo and Style Guide Vesion 2.0 12.3.2014 Capital public adio Band, Logo and Style Guide T A C K E T T + B A R B A R I A Oveview Ask anyone in the Sacamento egion what they think of Capital Public Radio and thei esponses will

More information

ECE 250 / CPS 250 Computer Architecture. Basics of Logic Design ALU and Storage Elements

ECE 250 / CPS 250 Computer Architecture. Basics of Logic Design ALU and Storage Elements ECE 25 / CPS 25 Computer Architecture Basics of Logic esign ALU and Storage Elements Benjamin Lee Slides based on those from Andrew Hilton (uke), Alvy Lebeck (uke) Benjamin Lee (uke), and Amir Roth (Penn)

More information

Bubble Razor An Architecture-Independent Approach to Timing-Error Detection and Correction

Bubble Razor An Architecture-Independent Approach to Timing-Error Detection and Correction 1 Bubble Razor An Architecture-Independent Approach to Timing-Error Detection and Correction Matthew Fojtik, David Fick, Yejoong Kim, Nathaniel Pinckney, David Harris, David Blaauw, Dennis Sylvester mfojtik@umich.edu

More information

(2'-6") OUTLINE OF REQUIRED CLEAR SERVICE AREA

(2'-6) OUTLINE OF REQUIRED CLEAR SERVICE AREA VACUUM AI TUBE 2GX 494 CUSTOME DETAILS DIMENSIONS IN MILLIMETES L64 "ALL DIMENSIONS AND DESIGN CITEIA POJECTION PAGE OF 7 46 ('- TAFFIC FLOW CALL -8-999-6 (2") MIN. 8 2") ( DUAL CALL/SEND INTEFACE FEATUE

More information

Study on evaluation method of the pure tone for small fan

Study on evaluation method of the pure tone for small fan Study on evaluation method of the pue tone fo small fan Takao YAMAGUCHI 1 ; Gaku MINORIKAWA 2 ; Masayuki KIHARA 3 1, 2 Hosei Univesity, Japan 3 Shap Copoation, Japan ABSTRACT In the field of audio, visual

More information

Slide Set 9. for ENCM 501 in Winter Steve Norman, PhD, PEng

Slide Set 9. for ENCM 501 in Winter Steve Norman, PhD, PEng Slide Set 9 for ENCM 501 in Winter 2018 Steve Norman, PhD, PEng Electrical & Computer Engineering Schulich School of Engineering University of Calgary March 2018 ENCM 501 Winter 2018 Slide Set 9 slide

More information

SCP725 Series. 3M It s that Easy! Picture this:

SCP725 Series. 3M It s that Easy! Picture this: 3M Supe lose Pojection Systems SP725 Seies with Simply Inteactive 3M It s that Easy! Pictue this: Students acing to the boad Feedom to choose any inteactive softwae that fits you lesson plans Teaches effotlessly

More information

Register Transfer Level (RTL) Design Cont.

Register Transfer Level (RTL) Design Cont. CSE4: Components and Design Techniques for Digital Systems Register Transfer Level (RTL) Design Cont. Tajana Simunic Rosing Where we are now What we are covering today: RTL design examples, RTL critical

More information

CS 110 Computer Architecture. Finite State Machines, Functional Units. Instructor: Sören Schwertfeger.

CS 110 Computer Architecture. Finite State Machines, Functional Units. Instructor: Sören Schwertfeger. CS 110 Computer Architecture Finite State Machines, Functional Units Instructor: Sören Schwertfeger http://shtech.org/courses/ca/ School of Information Science and Technology SIST ShanghaiTech University

More information

Design of Address Generators Using Multiple LUT Cascade on FPGA

Design of Address Generators Using Multiple LUT Cascade on FPGA Deign of Adde Geneato Uing Multiple LUT Cacade on FPGA Hui Qin and Tutomu Saao Depatment of Compute Science and Electonic, Kyuhu Intitute of Technology 680 4, Kawazu, Iizuka, Fukuoka, 80 850, Japan Abtact

More information

Deal or No Deal? Decision Making under Risk in a Large-Payoff Game Show

Deal or No Deal? Decision Making under Risk in a Large-Payoff Game Show Deal o No Deal? Decision Making unde Risk in a Lage-Payoff Game Show Thiey Post, Matijn J. van den Assem, Guido Baltussen and Richad H. Thale * Published in the Ameican Economic Review, Mach 2008 (98:1),

More information

Logic Design ( Part 3) Sequential Logic (Chapter 3)

Logic Design ( Part 3) Sequential Logic (Chapter 3) o Far: Combinational Logic Logic esign ( Part ) equential Logic (Chapter ) Based on slides McGraw-Hill Additional material 24/25/26 Lewis/Martin Additional material 28 oth Additional material 2 Taylor

More information

CS3350B Computer Architecture Winter 2015

CS3350B Computer Architecture Winter 2015 CS3350B Computer Architecture Winter 2015 Lecture 5.2: State Circuits: Circuits that Remember Marc Moreno Maza www.csd.uwo.ca/courses/cs3350b [Adapted from lectures on Computer Organization and Design,

More information

Precision Interface Technology

Precision Interface Technology Pecision Inteface Technology Phono Inteconnect Cables INTRODUCTION Signals fom catidges ae highly sensitive to hum, noise and vaious foms of intefeence. The connecting cable between the catidge and pe-amplifie

More information

Scalable Music Recommendation by Search

Scalable Music Recommendation by Search Scalable Music Recommendation by Seach Rui Cai, Chao Zhang, Lei Zhang, and Wei-Ying Ma Micosoft Reseach, Asia 49 Zhichun Road, Beijing 100080, P.R. China {uicai, v-chaozh, leizhang, wyma}@micosoft.com

More information

EEC 581 Computer Architecture. Instruction Level Parallelism (3.4 & 3.5 Dynamic Scheduling)

EEC 581 Computer Architecture. Instruction Level Parallelism (3.4 & 3.5 Dynamic Scheduling) 1 EEC 581 Computer Architecture Instruction Level Parallelism (3.4 & 3.5 Dynamic Scheduling) Chansu Yu Electrical and Computer Engineering Cleveland State University Overview of Chap. 3 (again) Pipelined

More information

Instruction Level Parallelism Part III

Instruction Level Parallelism Part III Course on: Advanced Computer Architectures Instruction Level Parallelism Part III Prof. Cristina Silvano Politecnico di Milano email: cristina.silvano@polimi.it 1 Outline of Part III Dynamic Scheduling

More information

Making Fraction Division Concrete: A New Way to Understand the Invert and Multiply Algorithm

Making Fraction Division Concrete: A New Way to Understand the Invert and Multiply Algorithm Making Faction Division Concete: A Ne Way to Undestand the Invet and Multily Algoithm Intoduction us is not to eason hy, just invet and multily. This is a hyme that I emembe leaning ay back in the fifth

More information

Instruction Level Parallelism Part III

Instruction Level Parallelism Part III Course on: Advanced Computer Architectures Instruction Level Parallelism Part III Prof. Cristina Silvano Politecnico di Milano email: cristina.silvano@polimi.it 1 Outline of Part III Tomasulo Dynamic Scheduling

More information

Modeling Digital Systems with Verilog

Modeling Digital Systems with Verilog Modeling Digital Systems with Verilog Prof. Chien-Nan Liu TEL: 03-4227151 ext:34534 Email: jimmy@ee.ncu.edu.tw 6-1 Composition of Digital Systems Most digital systems can be partitioned into two types

More information

Sequential Elements con t Synchronous Digital Systems

Sequential Elements con t Synchronous Digital Systems ecture 15 Computer Science 61C Spring 2017 February 22th, 2017 Sequential Elements con t Synchronous Digital Systems 1 Administrivia I Good news: Waitlist students: You are in! Concurrent Enrollment students:

More information

Very Short Answer: (1) (1) Peak performance does or does not track observed performance.

Very Short Answer: (1) (1) Peak performance does or does not track observed performance. Very Short Answer: (1) (1) Peak performance does or does not track observed performance. (2) (1) Which is more effective, dynamic or static branch prediction? (3) (1) Do benchmarks remain valid indefinitely?

More information

Pipelining. Improve performance by increasing instruction throughput Program execution order. Data access. Instruction. fetch. Data access.

Pipelining. Improve performance by increasing instruction throughput Program execution order. Data access. Instruction. fetch. Data access. Chapter 6 Pipelining Improve performance by increasing instrction throghpt Program eection order Time (in instrctions) lw $, ($) Instrction fetch 2 4 6 8 2 4 6 8 ALU Data access lw $2, 2($) 8 ns Instrction

More information

RAZOR: CIRCUIT-LEVEL CORRECTION OF TIMING ERRORS FOR LOW-POWER OPERATION

RAZOR: CIRCUIT-LEVEL CORRECTION OF TIMING ERRORS FOR LOW-POWER OPERATION RAZOR: CIRCUIT-LEVEL CORRECTION OF TIMING ERRORS FOR LOW-POWER OPERATION Shohaib Aboobacker TU München 22 nd March 2011 Based on Razor: A Low-Power Pipeline Based on Circuit-Level Timing Speculation Dan

More information

DYNAMIC INSTRUCTION SCHEDULING WITH TOMASULO

DYNAMIC INSTRUCTION SCHEDULING WITH TOMASULO DYNAMIC INSTRUCTION SCHEDULING WITH TOMASULO Slides by: Pedro Tomás Additional reading: Computer Architecture: A Quantitative Approach, 5th edition, Chapter 3, John L. Hennessy and David A. Patterson,

More information

Stochastic analysis of Stravinsky s varied ostinati

Stochastic analysis of Stravinsky s varied ostinati Stochastic analysis of Stavinsky s vaied ostinati Daniel Bown Depatment of Music, Univesity of Califonia at Santa Cuz, USA dalaow@ucsc.edu Poceedings of the Xenakis Intenational Symposium Southank Cente,

More information

CS61C : Machine Structures

CS61C : Machine Structures inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures Lecture 24 State Circuits : Circuits that Remember Senior Lecturer SOE Dan Garcia www.cs.berkeley.edu/~ddgarcia Bio NAND gate Researchers at Imperial

More information

Sequential Logic Design CS 64: Computer Organization and Design Logic Lecture #14

Sequential Logic Design CS 64: Computer Organization and Design Logic Lecture #14 Sequential Logic Design CS 64: Computer Organization and Design Logic Lecture #14 Ziad Matni Dept. of Computer Science, UCSB Administrative Only 2.5 weeks left!!!!!!!! OMG!!!!! Th. 5/24 Sequential Logic

More information

CLASSIFICATION OF RECORDED CLASSICAL MUSIC USING NEURAL NETWORKS

CLASSIFICATION OF RECORDED CLASSICAL MUSIC USING NEURAL NETWORKS CLASSIFICATIO OF RECORDED CLASSICAL MUSIC USIG EURAL ETWORKS R Malheio ab R P Paiva a A J Mendes a T Mendes a A Cadoso a a CISUC Cento de Infomática e Sistemas da Univesidade de Coimba Depatamento de Engenhaia

More information

Instruction Level Parallelism and Its. (Part II) ECE 154B

Instruction Level Parallelism and Its. (Part II) ECE 154B Instruction Level Parallelism and Its Exploitation (Part II) ECE 154B Dmitri Strukov ILP techniques not covered last week this week next week Scoreboard Technique Review Allow for out of order execution

More information

Û Û Û Û J Û . Û Û Û Û Û Û Û. Û Û 4 Û Û &4 2 Û Û Û Û Û Û Û Û. Û. Û. Û Û Û Û Û Û Û Û Û Û Û. œ œ œ œ œ œ œ œ. œ œ œ. œ œ.

Û Û Û Û J Û . Û Û Û Û Û Û Û. Û Û 4 Û Û &4 2 Û Û Û Û Û Û Û Û. Û. Û. Û Û Û Û Û Û Û Û Û Û Û. œ œ œ œ œ œ œ œ. œ œ œ. œ œ. Alto Baitone Saxophones omping Basi pattens (Maxixe): R Samba Samba evolved fom maxixe aound the 10s Two elements wee uial fo the definition of its style: the pattens eated by new and old peussion instuments

More information

CSE 140 Exam #3 Solution Tajana Simunic Rosing

CSE 140 Exam #3 Solution Tajana Simunic Rosing CSE 140 Exam #3 Solution Tajana Simunic Rosing Winter 2010 Do not start the exam until you are told to. Turn off any cell phones or pagers. Write your name and PID at the top of every page. Do not separate

More information

CS/ECE 250: Computer Architecture. Basics of Logic Design: ALU, Storage, Tristate. Benjamin Lee

CS/ECE 250: Computer Architecture. Basics of Logic Design: ALU, Storage, Tristate. Benjamin Lee CS/ECE 25: Computer Architecture Basics of Logic esign: ALU, Storage, Tristate Benjamin Lee Slides based on those from Alvin Lebeck, aniel, Andrew Hilton, Amir Roth, Gershon Kedem Homework #3 ue Mar 7,

More information

Content-Based Movie Recommendation Using Different Feature Sets

Content-Based Movie Recommendation Using Different Feature Sets Poceedings of the Wold Congess on Engineeing and Compte Science 202 Vol, Octobe 24-26, 202, San Fancisco, USA Content-Based Movie Recommendation Using Diffeent Feate Sets Mahiye Ulyagm, Zeha Cataltepe

More information

Advanced Pipelining and Instruction-Level Paralelism (2)

Advanced Pipelining and Instruction-Level Paralelism (2) Advanced Pipelining and Instruction-Level Paralelism (2) Riferimenti bibliografici Computer architecture, a quantitative approach, Hennessy & Patterson: (Morgan Kaufmann eds.) Tomasulo s Algorithm For

More information

Digital-TV-Box DCB-101

Digital-TV-Box DCB-101 USE MANUAL DCB-101 ENGLISH 1:ST EDITION 980805: 00270 Digital-TV-Box DCB-101 uick reference On/Off (standby). Numeric keys to select programmes and to change menu values. (P+) Step to the next programme

More information

Focus: Orff process, timbre, movement, improvisation. Audience: Teachers K-8

Focus: Orff process, timbre, movement, improvisation. Audience: Teachers K-8 VMEA Distict 14 Apil 26, 2014 Sounds abound! Bent Holl Desciption In this session we ll celebate the timbes of the Off instuments as we look at thei ustification and use in the music classoom We will play

More information

A VLIW Processor for Multimedia Applications

A VLIW Processor for Multimedia Applications A VLIW Processor for Multimedia Applications E. Holmann T. Yoshida A. Yamada Y. Shimazu Mitsubishi Electric Corporation, System LSI Laboratory 4-1 Mizuhara, Itami, Hyogo 664, Japan Outline Objective System

More information

Go BEARS~ What are Machine Structures? Lecture #15 Intro to Synchronous Digital Systems, State Elements I C

Go BEARS~ What are Machine Structures? Lecture #15 Intro to Synchronous Digital Systems, State Elements I C CS6C L5 Intro to SDS, State Elements I () inst.eecs.berkeley.edu/~cs6c CS6C : Machine Structures Lecture #5 Intro to Synchronous Digital Systems, State Elements I 28-7-6 Go BEARS~ Albert Chae, Instructor

More information

Experimental Investigation of the Effect of Speckle Noise on Continuous Scan Laser Doppler Vibrometer Measurements

Experimental Investigation of the Effect of Speckle Noise on Continuous Scan Laser Doppler Vibrometer Measurements Expeimental Investigation of the Effect of Speckle Noise on Continuous Scan Lase Dopple Vibomete Measuements Michael W. Sacic & Matthew S. Allen Univesity of Wisconsin-Madison 535 Engineeing Reseach Building

More information

11. Sequential Elements

11. Sequential Elements 11. Sequential Elements Jacob Abraham Department of Electrical and Computer Engineering The University of Texas at Austin VLSI Design Fall 2017 October 11, 2017 ECE Department, University of Texas at Austin

More information

Dynamic Scheduling. Differences between Tomasulo. Tomasulo Algorithm. CDC 6600 scoreboard. Or ydanicm ceshuldngi

Dynamic Scheduling. Differences between Tomasulo. Tomasulo Algorithm. CDC 6600 scoreboard. Or ydanicm ceshuldngi Dynamic Scheduling (or out-of-order execution) Dynamic Scheduling Or ydanicm ceshuldngi CDC 6600 scoreboard Instruction storage added to each functional execution unit Instructions issue to FU when no

More information

R&D White Paper WHP 119. Mezzanine Compression for HDTV. Research & Development BRITISH BROADCASTING CORPORATION. September R.T.

R&D White Paper WHP 119. Mezzanine Compression for HDTV. Research & Development BRITISH BROADCASTING CORPORATION. September R.T. R&D White Pape WHP 119 Septembe 2005 Mezzanine Compession fo HDTV R.T. Russell Reseach & Development BRITISH BROADCASTING CORPORATION BBC Reseach & Development White Pape WHP 119 Mezzanine Compession

More information

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /VETECF.2002.

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /VETECF.2002. Nesimoglu, T., Beach, MA., MacLeod, JR., & Wa, PA. (00). Mixe lineaisation fo softwae defined adio applications. In ehicula Technology Confeence 00 (TC 00-Fall) (ol. 1, pp. 534-538). Institute of Electical

More information

A Practical and Historical Guide to Johann Sebastian Bach s Solo in A Minor BWV 1013

A Practical and Historical Guide to Johann Sebastian Bach s Solo in A Minor BWV 1013 Southen Illinois Univesity Cabondale OpenSIUC Aticles School of Music Sping 2017 A Pactical and Histoical Guide to Johann Sebastian Bach s Solo in A Mino BWV 1013 Douglas Wothen wothen@siu.edu Follow this

More information

A METRIC FOR MUSIC NOTATION TRANSCRIPTION ACCURACY

A METRIC FOR MUSIC NOTATION TRANSCRIPTION ACCURACY A METRIC FOR MUSIC NOTATION TRANSCRIPTION ACCURACY Andea Cogliati Univesity of Rocheste Electical and Compute Engineeing andea.cogliati@ocheste.edu Zhiyao Duan Univesity of Rocheste Electical and Compute

More information

BRASS TECHNIQUE BARITONE

BRASS TECHNIQUE BARITONE BRASS TECHNIQUE BARITONE REHEARSAL CHECKLIST The folloing is a list of items that you should bing to evey eheasal: 3-Ring Binde, 1/2 to 1 inch, ith seveal clea inset pages to keep all of you music in Any

More information

LED Driver IC IK2108A TECHNICAL DATA. Description

LED Driver IC IK2108A TECHNICAL DATA. Description TECHNICAL DATA LED Driver IC IK2108A Description The IK2108A are anode-grid LED display drives 5.0V~18.0V with output size 8 digits x 14 segments to 12 digits x 10 segments and addition key scan function.

More information

Differences between Tomasulo. Another Dynamic Algorithm: Tomasulo Organization. Reservation Station Components

Differences between Tomasulo. Another Dynamic Algorithm: Tomasulo Organization. Reservation Station Components Another Dynamic Algorithm: Tomasulo Algorithm Differences between Tomasulo Algorithm & Scoreboard For IBM 360/9 about 3 years after CDC 6600 Goal: High Performance without special compilers Differences

More information

Combinational vs Sequential

Combinational vs Sequential Combinational vs Sequential inputs X Combinational Circuits outputs Z A combinational circuit: At any time, outputs depends only on inputs Changing inputs changes outputs No regard for previous inputs

More information

I/O Interfacing. What we are going to learn in this session:

I/O Interfacing. What we are going to learn in this session: I/O Interfacing ECE 5: Digital System & Microprocessor What we are going to learn in this session: M6823 Parallel Interface Timer. egisters in the M6823. Port initialization method. How M6823 interfaces

More information

Spreadsheet analysis of a hierarchical control system model of behavior. RICHARD S. MARKEN Aerospace Corporation, Los Angeles, California

Spreadsheet analysis of a hierarchical control system model of behavior. RICHARD S. MARKEN Aerospace Corporation, Los Angeles, California Behavio Reseach Methods, Instuments, & Comutes 1990, 22 (4), 349-359 - METHODS & DESIGNS Seadsheet analysis of a hieachical contol system model of behavio RICHARD S. MARKEN Aeosace Cooation, Los Angeles,

More information

EE 447/547 VLSI Design. Lecture 9: Sequential Circuits. VLSI Design EE 447/547 Sequential circuits 1

EE 447/547 VLSI Design. Lecture 9: Sequential Circuits. VLSI Design EE 447/547 Sequential circuits 1 EE 447/547 VLSI esign Lecture 9: Sequential Circuits Sequential circuits 1 Outline Floorplanning Sequencing Sequencing Element esign Max and Min-elay Clock Skew Time Borrowing Two-Phase Clocking Sequential

More information

Keller Central Percussion

Keller Central Percussion Kee Centa Pecussion Font Ensembe Execise Packet The fooing pages incude basic to intemediate technique and coodination execises fo the maching pecussion idiom. A stong gasp of these fundamentas is essentia

More information

Outcomes. Spiral 1 / Unit 6. Flip-Flops FLIP FLOPS AND REGISTERS. Flip-flops and Registers. Outputs only change once per clock period

Outcomes. Spiral 1 / Unit 6. Flip-Flops FLIP FLOPS AND REGISTERS. Flip-flops and Registers. Outputs only change once per clock period 1-6.1 1-6.2 Outcomes Spiral 1 / Unit 6 Flip-flops and Registers I know the difference between combinational and sequential logic and can name examples of each. I understand latency, throughput, and at

More information

ECEN454 Digital Integrated Circuit Design. Sequential Circuits. Sequencing. Output depends on current inputs

ECEN454 Digital Integrated Circuit Design. Sequential Circuits. Sequencing. Output depends on current inputs ECEN454 igital Integrated Circuit esign Sequential Circuits ECEN 454 Combinational logic Sequencing Output depends on current inputs Sequential logic Output depends on current and previous inputs Requires

More information

Asynchronous IC Interconnect Network Design and Implementation Using a Standard ASIC Flow

Asynchronous IC Interconnect Network Design and Implementation Using a Standard ASIC Flow Asynchronous IC Interconnect Network Design and Implementation Using a Standard ASIC Flow Bradley R. Quinton*, Mark R. Greenstreet, Steven J.E. Wilton*, *Dept. of Electrical and Computer Engineering, Dept.

More information

Digital Design and Computer Architecture

Digital Design and Computer Architecture Digital Design and Computer Architecture Lab 0: Multicycle Processor (Part ) Introduction In this lab and the next, you will design and build your own multicycle MIPS processor. You will be much more on

More information

Lecture 10: Sequential Circuits

Lecture 10: Sequential Circuits Introduction to CMOS VLSI esign Lecture 10: Sequential Circuits avid Harris Harvey Mudd College Spring 2004 1 Outline Floorplanning Sequencing Sequencing Element esign Max and Min-elay Clock Skew Time

More information