CS 110 Computer Architecture (a.k.a. Machine Structures ...

CS110ComputerArchitecture

(a.k.a.MachineStructures)Lecture1:CourseIntroduction

Instructor:SörenSchwertfeger

http://shtech.org/courses/ca/

School of Information Science and Technology SIST

ShanghaiTech University

1Slides based on UC Berkley's CS61C

Agenda

• ThinkingaboutMachineStructures• GreatIdeasinComputerArchitecture• Whatyouneedtoknowaboutthisclass• EverythingisaNumber

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Agenda


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CS110isNOTreallyaboutCProgramming

• Itisaboutthehardware-software interface– Whatdoestheprogrammerneedtoknowtoachievethehighestpossibleperformance

• Cisclosetotheunderlyinghardware,unlikelanguageslikeScheme,Python,Java!– Allowsustotalkaboutkeyhardwarefeaturesinhigherlevelterms

– Allowsprogrammertoexplicitlyharnessunderlyinghardwareparallelismforhighperformance

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OldSchoolComputerArchitecture

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NewSchoolComputerArchitecture(1/3)

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PersonalMobileDevices


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OldSchoolMachineStructures

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I/OsystemProcessor

CompilerOperatingSystem(MacOSX)

Application(ex:browser)

DigitalDesignCircuitDesign

InstructionSetArchitecture

Datapath&Control

transistors

MemoryHardware

Software Assembler

New-SchoolMachineStructures(It’sabitmorecomplicated!)

• ParallelRequestsAssigned tocomputere.g.,Search“cats”

• ParallelThreadsAssigned tocoree.g.,Lookup,Ads

• ParallelInstructions>[email protected].,5pipelined instructions

• ParallelData>1dataitem@one timee.g.,Addof4pairsofwords

• HardwaredescriptionsAllgatesfunctioning in

parallelatsametime10

SmartPhone

Warehouse-Scale

Computer

SoftwareHardware

HarnessParallelism&AchieveHighPerformance

LogicGates

Core Core…

Memory(Cache)

Input/Output

Computer

MainMemory

Core

InstructionUnit(s) FunctionalUnit(s)

A3+B3A2+B2A1+B1A0+B0

Project1

Project3

Project2

Agenda


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6GreatIdeasinComputerArchitecture

1. Abstraction(LayersofRepresentation/Interpretation)

2. Moore’sLaw(Designingthroughtrends)3. PrincipleofLocality(MemoryHierarchy)4. Parallelism5. PerformanceMeasurement&Improvement6. DependabilityviaRedundancy

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GreatIdea#1:Abstraction(LevelsofRepresentation/Interpretation)

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lw $t0,0($2)lw $t1,4($2)sw $t1,0($2)sw $t0,4($2)

HighLevelLanguageProgram(e.g.,C)

AssemblyLanguageProgram(e.g.,MIPS)

MachineLanguageProgram(MIPS)

HardwareArchitectureDescription(e.g.,blockdiagrams)

Compiler

Assembler

MachineInterpretation

temp=v[k];v[k]=v[k+1];v[k+1]=temp;

0000 1001 1100 0110 1010 1111 0101 10001010 1111 0101 1000 0000 1001 1100 0110 1100 0110 1010 1111 0101 1000 0000 1001 0101 1000 0000 1001 1100 0110 1010 1111

LogicCircuitDescription(CircuitSchematicDiagrams)

ArchitectureImplementation

Anythingcanberepresentedasanumber,

i.e.,dataorinstructions

#2:Moore’sLaw

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GordonMooreIntelCofounder

Predicts:2XTransistors/chip

every2years

InterestingTimes

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Moore’sLawreliedonthecostoftransistorsscalingdownastechnologyscaledtosmallerandsmallerfeaturesizes.

BUTnewest,smallestfabricationprocesses<14nm,mighthavegreatercost/transistor!!!!So,whyshrink????

JimGray’sStorageLatencyAnalogy:HowFarAwayistheData?

RegistersOn Chip CacheOn Board Cache

Main Memory

Disk

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10

100

Tape /Optical Robot

109

106

This CampusThis Room

My Head

10 min

1.5 hr

2 Years

1 min

Pluto

2,000 Years

Andromeda

(ns)

JimGrayTuringAward

Suzhou

GreatIdea#3:PrincipleofLocality/MemoryHierarchy

2/23/16 17

GreatIdea#4:Parallelism

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2/23/16 19

Caveat:Amdahl’sLaw

GeneAmdahlComputerPioneer

GreatIdea#5:PerformanceMeasurementandImprovement

• Tuningapplicationtounderlyinghardwaretoexploit:– Locality– Parallelism– Specialhardwarefeatures,likespecializedinstructions(e.g.,matrixmanipulation)

• Latency– Howlongtosettheproblemup– Howmuchfasterdoesitexecuteonceitgetsgoing– Itisallabouttimetofinish

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CopingwithFailures

• 4disks/server,50,000servers• Failurerateofdisks:2%to10%/year

– Assume4%annualfailurerate• Onaverage,howoftendoesadiskfail?

a) 1/monthb) 1/weekc) 1/dayd) 1/hour

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CopingwithFailures

• 4disks/server,50,000servers• Failurerateofdisks:2%to10%/year

– Assume4%annualfailurerate• Onaverage,howoftendoesadiskfail?

a) 1/monthb) 1/weekc) 1/dayd) 1/hour

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50,000x 4=200,000disks200,000x 4%=8000disksfail

365daysx 24hours=8760hours

NASAFixingRover’sFlashMemory

• OpportunitystillactiveonMarsafter>10years

• Butflashmemorywornout

• Newsoftwareupdatetoavoidusingwornoutmemorybanks

23http://www.engadget.com/2014/12/30/nasa-opportunity-rover-flash-fix/

GreatIdea#6:DependabilityviaRedundancy

• Redundancysothatafailingpiecedoesn’tmakethewholesystemfail

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1+1=2 1+1=2 1+1=1

1+1=22of3agree

FAIL!

Increasingtransistordensity reducesthecostofredundancy

GreatIdea#5:DependabilityviaRedundancy

• Appliestoeverythingfromdatacenterstostoragetomemorytoinstructors– Redundantdatacenters sothatcanlose1datacenterbutInternetservicestaysonline

– Redundantdisks sothatcanlose1diskbutnotlosedata(RedundantArraysofIndependentDisks/RAID)

– Redundantmemorybits ofsothatcanlose1bitbutnodata(ErrorCorrectingCode/ECCMemory)

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Agenda


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WeeklySchedule

Lecture Tuesday,08:15-09:55.room:H2109Lecture Friday,10:15-11:55. room:H2109Discussions Tuesday,18:40-20:20.教学楼309.Lab1 Monday,15:00-16:40.教学楼308Lab2 Tuesday,15:00-16:40.教学楼309Lab3 Thursday,15:00-16:40.行政楼405

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CourseInformation• CourseWeb:http://shtech.org/course/ca/• Acknowledgement:InstructorsofUCBerkeley’sCS61C:

http://www-inst.eecs.berkeley.edu/~cs61c/• Instructor:

– SörenSchwertfeger• TeachingAssistants:(seewebpage)• Textbooks:Average15pagesofreading/week

– Patterson&Hennessey,ComputerOrganizationandDesign,5th Edition(Chineseversionis4th edition– significantdifferences!)

– Kernighan&Ritchie,TheCProgrammingLanguage,2nd Edition– Barroso&Holzle,TheDatacenterasaComputer,2nd Edition

• Piazza:– Everyannouncement,discussion,clarificationhappensthere

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CourseGrading• Projects:33%• Homework:17%• Lab:10%• Exams:35%

– Midterm1:7.5%– Midterm2:7.5%– Final:20%

• Participation:5%

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LatePolicy…SlipDays!• Assignmentsdueat11:59:59PM• Youhave3 slipdaytokens(NOThourormin)• Everydayyourprojectorhomeworkislate(evenbyaminute)wedeductatoken

• Afteryou’veusedupalltokens,it’s25%deductedperday.– Nocreditifmorethan3dayslate– Saveyourtokensforprojects,worthmore!!

• Noneedforsobstories,justuseaslipday!• Gradebot isopentill3daysafterduedate!• Ifyouneedmoretime(slipdaysplusdeduction)sendtheTAandProf.anemail!

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PolicyonAssignmentsandIndependentWork

• ALLPROJECTSWILLBEDONEWITHAPARTNER• Withtheexceptionoflaboratoriesandassignmentsthatexplicitlypermityouto

workingroups, allhomeworkandprojectsaretobeYOURworkandyourworkALONE.

• PARTNERTEAMSMAYNOTWORKWITHOTHERPARTNERTEAMS• Youareencouraged todiscussyourassignmentswithotherstudents,andcreditwill

beassignedtostudentswhohelpothers,particularlybyansweringquestionsonPiazza,butweexpectthatwhatyouhandinisyours.

• ItisNOTacceptabletocopysolutions fromother students.• ItisNOTacceptabletocopy(or startyour) solutions fromtheWeb.• ItisNOTacceptabletousePUBLICgithub archives(giving youranswersaway)• Wehavetoolsandmethods, developedovermanyyears,fordetectingthis.You

WILLbecaught,andthepenaltiesWILLbesevere.• AttheminimumFinthecourse,andalettertoyouruniversityrecorddocumenting

theincidenceofcheating.• BothGiverandReceiverareequallyculpableandsufferequalpenalties

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Discussion&Labs&HW1

• Firstdiscussiontoday!Tuesday,18:40-20:20教学楼309– Topic:Numberrepresentation– Letusknowwhattopicsyou’dliketohavecovered!– Topicnextdiscussion:C

• Labs:Findapartnerforyourlab-workandtheprojects– fromyoulabclass!– SendanemailtoXuQingwen (xuqw)– Labsstartnextweek

• HW1willbepostedonFriday.

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ArchitectureofatypicalLecture

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Attention

Time(minutes)10 35 60 78 90

Administrivia “Andinconclusion…”

Full

Fun/News

Agenda


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KeyConcepts• Insidecomputers,everythingisanumber• Butnumbersusuallystoredwithafixedsize

– 8-bitbytes,16-bithalfwords,32-bitwords,64-bitdoublewords,…

• Integerandfloating-pointoperationscanleadtoresultstoobig/smalltostorewithintheirrepresentations:overflow/underflow

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NumberRepresentation

• Valueofi-th digitisd × Baseiwherei startsat0andincreasesfromrighttoleft:

• 12310=110 x 10102 +210 x 10101 +310 x 10100

=1x10010 +2x1010 +3x110=10010 +2010 +310=12310

• Binary(Base2),Hexadecimal(Base16),Decimal(Base10)differentwaystorepresentaninteger– Weuse1two,5ten,10hex tobeclearer

(vs.12,48,510,1016)

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NumberRepresentation

• Hexadecimaldigits:0,1,2,3,4,5,6,7,8,9,A,B,C,D,E,F

• FFFhex =15tenx16ten2 +15tenx16ten1 +15tenx16ten0=3840ten +240ten +15ten=4095ten

• 111111111111two =FFFhex =4095ten• Mayputblankseverygroupofbinary,octal,orhexadecimaldigitstomakeiteasiertoparse,likecommasindecimal

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SignedandUnsignedIntegers

• C,C++,andJavahavesignedintegers,e.g.,7,-255:int x, y, z;

• C,C++alsohaveunsigned integers,e.g.foraddresses

• 32-bitwordcanrepresent232 binarynumbers• Unsignedintegersin32bitwordrepresent0to232-1(4,294,967,295)(4Gig)

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UnsignedIntegers00000000000000000000000000000000two =0ten00000000000000000000000000000001two =1ten00000000000000000000000000000010two =2ten

... ...01111111111111111111111111111101two =2,147,483,645ten01111111111111111111111111111110two =2,147,483,646ten01111111111111111111111111111111two =2,147,483,647ten10000000000000000000000000000000two =2,147,483,648ten10000000000000000000000000000001two =2,147,483,649ten10000000000000000000000000000010two =2,147,483,650ten

... ...11111111111111111111111111111101two =4,294,967,293ten11111111111111111111111111111110two =4,294,967,294ten11111111111111111111111111111111two =4,294,967,295ten

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SignedIntegersandTwo’s-ComplementRepresentation

• SignedintegersinC;want½numbers<0,want½numbers>0,andwantone0

• Two’scomplementtreats0aspositive,so32-bitwordrepresents232integersfrom-231(–2,147,483,648) to231-1(2,147,483,647)– Note:onenegativenumberwithnopositiveversion– Booklistssomeotheroptions,allofwhichareworse– Everycomputerusestwo’scomplementtoday

• Most-significantbit(leftmost)isthesignbit,since0meanspositive(including0),1meansnegative– Bit31ismostsignificant,bit0isleastsignificant

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Two’s-ComplementIntegers00000000000000000000000000000000two =0ten00000000000000000000000000000001two =1ten00000000000000000000000000000010two =2ten

... ...01111111111111111111111111111101two =2,147,483,645ten01111111111111111111111111111110two =2,147,483,646ten01111111111111111111111111111111two =2,147,483,647ten10000000000000000000000000000000two =–2,147,483,648ten10000000000000000000000000000001two =–2,147,483,647ten10000000000000000000000000000010two =–2,147,483,646ten

... ...11111111111111111111111111111101two =–3ten11111111111111111111111111111110two =–2ten11111111111111111111111111111111two =–1ten

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SignBit

WaystoMakeTwo’sComplement• ForN-bitword,complementto2tenN

– For4bitnumber3ten=0011two,two’scomplement

(i.e.-3ten)wouldbe

16ten-3ten=13ten or10000two – 0011two =1101two

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• Hereisaneasierway:– Invertallbitsandadd1

– Computersactuallydoitlikethis,too

0011two

1100two+1two

3ten

1101two

Bitwisecomplement

-3ten

Two’s-ComplementExamples

• Assumeforsimplicity4bitwidth,-8to+7represented

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00110010

3+25 0101

00111110

3+(-2)

1 10001

01110001

7+1-8 1000Overflow!

11011110

-3+(-2)

-5 11011

10001111

-8+(-1)+7 10111

CarryintoMSB=CarryOutMSB

CarryintoMSB=CarryOutMSB

Underflow!

Overflow/Underflowwhenmagnitudeofresulttoobig/toosmalltofitintoresultrepresentation

Carryin=carryfromlesssignificantbitsCarryout=carrytomoresignificantbits

0to+31

-16to+15

-32to+31☐

☐

☐

☐

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Supposewehada5-bitword.Whatintegerscanberepresentedintwo’scomplement?

0to+31

-16to+15

-32to+31☐

☐

☐

☐

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Supposewehada5bitword.Whatintegerscanberepresentedintwo’scomplement?

Summary• ComputerArchitecture:Learn6greatideasincomputerarchitecturetoenablehighperformanceprogrammingviaparallelism,notjustlearnC1. Abstraction

(LayersofRepresentation/Interpretation)2. Moore’sLaw3. PrincipleofLocality/MemoryHierarchy4. Parallelism5. PerformanceMeasurementandImprovement6. DependabilityviaRedundancy

• EverythingisaNumber!46

CS 110 Computer Architecture (a.k.a. Machine Structures ...

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