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Computer Organization and Computer Organization and Design Design Performance Performance Montek Singh Montek Singh Wed, Nov 7, 2012 Wed, Nov 7, 2012 Lecture 14 Lecture 14
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Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

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Page 1: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Computer Organization and Computer Organization and DesignDesign

PerformancePerformance

Montek SinghMontek Singh

Wed, Nov 7, 2012Wed, Nov 7, 2012

Lecture 14Lecture 14

Page 2: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

TopicsTopics Defining “Performance”Defining “Performance” Performance MeasuresPerformance Measures How to improve performanceHow to improve performance Performance pitfallsPerformance pitfalls ExamplesExamples

Reading: Ch 1.4Reading: Ch 1.4

Page 3: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Why Study Performance?Why Study Performance? Helps us make intelligent design choicesHelps us make intelligent design choices

See through the marketing hypeSee through the marketing hype

Key to understanding underlying computer Key to understanding underlying computer organizationorganization Why is some hardware faster than others for different Why is some hardware faster than others for different

programs?programs? What factors of system performance are hardware What factors of system performance are hardware

related?related?e.g., Do we need a new machine …e.g., Do we need a new machine …… … or a new operating system?or a new operating system?

How does a machineHow does a machine’’s instruction set affect its s instruction set affect its performance?performance?

Page 4: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Which Which AirplaneAirplane is is ““bestbest””??

How much faster is the Concorde than the 747?How much faster is the Concorde than the 747? 2.213 X2.213 X

How much larger is the 747How much larger is the 747’’s capacity than the Concorde?s capacity than the Concorde? 3.56 X3.56 X

It is roughly 4000 miles from Raleigh to Paris. What is the It is roughly 4000 miles from Raleigh to Paris. What is the throughputthroughput of the 747 in passengers/hr? The Concorde? of the 747 in passengers/hr? The Concorde?

What is the What is the latency latency of the 747? The Concorde?of the 747? The Concorde? 6.56 hours, 2.96 hours6.56 hours, 2.96 hours

AirplanePassenger capacity

Cruising range (miles)

Cruising speed (mph)

Passenger throughput (passengers x mph)

Page 5: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Defining PerformanceDefining Performance Which airplane has the best “performance”?Which airplane has the best “performance”?

performance = passenger capacity or cruising speed performance = passenger capacity or cruising speed or cruising range or passengers carried per mile per or cruising range or passengers carried per mile per hour?hour?

Page 6: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Performance MetricsPerformance Metrics Latency: Clocks from input to corresponding Latency: Clocks from input to corresponding

outputoutput How long does it take for my program to run?How long does it take for my program to run? How long must I wait after typing return for the result?How long must I wait after typing return for the result?

Throughput: How many results per clockThroughput: How many results per clock How many results can be processed per second?How many results can be processed per second? What is the average execution rate of my program?What is the average execution rate of my program? How much work is getting done?How much work is getting done?

If we upgrade a machine with a new faster If we upgrade a machine with a new faster processor what do we improve?processor what do we improve? Latency (generally)Latency (generally)

If we add a new machine to the lab what do we If we add a new machine to the lab what do we improve?improve? ThroughputThroughput

Page 7: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Design TradeoffsDesign Tradeoffs

Minimum Cost: measured by the size of the circuit.0101

Best Performance/Price: measured by the ratio of performance to size. In power-sensitive applications throughput/Watt is important too.

Maximum Performance: measured by the numbers of instructions executed per second

Page 8: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Execution TimeExecution Time Elapsed Time/Wall Clock TimeElapsed Time/Wall Clock Time

counts everything (disk and memory accesses, I/O , counts everything (disk and memory accesses, I/O , etc.)etc.)

a useful number, but often not good for comparison a useful number, but often not good for comparison purposespurposes

CPU timeCPU time DoesnDoesn’’t include I/O or time spent running other t include I/O or time spent running other

programsprograms can be broken up into system time, and can be broken up into system time, and user timeuser time

Our focus: user CPU time Our focus: user CPU time Time spent executing actual instructions of Time spent executing actual instructions of ““ourour””

programprogram

Page 9: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Book's Definition of PerformanceBook's Definition of Performance For some program running on machine X,For some program running on machine X,

PerformancePerformanceXX = Program Executions / Time = Program Executions / TimeXX (executions/sec)(executions/sec)

"X is "X is nn times faster than Y times faster than Y”” PerformancePerformanceXX / Performance / PerformanceYY = = nn

Example:Example: Machine A runs a program in 20 secondsMachine A runs a program in 20 seconds Machine B runs the same program in 25 secondsMachine B runs the same program in 25 seconds

By how much is A faster than B?By how much is A faster than B?By how much is B slower than A?By how much is B slower than A?PerformanceA = 1/20 PerformanceB = 1/25

Machine A is (1/20)/(1/25) = 1.25 times faster than Machine B

Page 10: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Program Clock CyclesProgram Clock Cycles Instead of reporting execution time in seconds, Instead of reporting execution time in seconds,

we often use clock cycle countswe often use clock cycle counts

Clock Clock ““ticksticks”” indicate when machine state indicate when machine state changes (an abstraction):changes (an abstraction):

cycle time = time between ticks = seconds per cyclecycle time = time between ticks = seconds per cycle clock rate (frequency) = cycles per second (1 Hz = 1 clock rate (frequency) = cycles per second (1 Hz = 1

cycle/s)cycle/s)

A 200 MHz clock has a cycle time of:A 200 MHz clock has a cycle time of:

time

Page 11: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Computer Performance MeasureComputer Performance Measure

Millions of Instructions per Second Frequency in MHz

Historically: PDP-11, VAX, Intel 8086: CPI > 1

Load/Store RISC machinesMIPS, SPARC, PowerPC, miniMIPS: CPI = 1Modern CPUs, Pentium, Athlon : CPI < 1

CPI (Average Clocks Per Instruction)

Which of these terms are program dependent?

Unfortunate coincidence:This “MIPS” has nothing to do with the name of our MIPS processor!

Page 12: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

How to Improve Performance?How to Improve Performance? Many ways to write the same equations:Many ways to write the same equations:

So, to improve performance (everything else So, to improve performance (everything else being equal) you can eitherbeing equal) you can either ________ the # of required cycles for a program, or________ the # of required cycles for a program, or ________ the clock cycle time or, said another way, ________ the clock cycle time or, said another way, ________ the clock rate.________ the clock rate. ________ the CPI (average clocks per instruction)________ the CPI (average clocks per instruction)

Decrease (improve ISA/Compiler)

Decrease

Increase (reduce propagation delays or use pipelining)

Decrease (new hardware)

Page 13: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

How Many Cycles in a Program?How Many Cycles in a Program? For MIPS processor:For MIPS processor:

may sometimes assume that # of cycles = # of may sometimes assume that # of cycles = # of instructionsinstructions

This assumption can be incorrect,Different instructions take different amounts of time on different machines.Memory accesses might require more cycles than other instructions.Floating-Point instructions might require multiple clock cycles to execute.Branches might stall execution rate

time

1st

inst

ruct

ion

2nd

inst

ruct

ion

3rd

inst

ruct

ion

4th

5th

6th ..

.

Page 14: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

ExampleExample Our favorite program runs in 10 seconds on computer Our favorite program runs in 10 seconds on computer

A, which has a 400 MHz clock. We are trying to help a A, which has a 400 MHz clock. We are trying to help a computer designer build a new machine B, to run this computer designer build a new machine B, to run this program in 6 seconds. The designer can use new (or program in 6 seconds. The designer can use new (or perhaps more expensive) technology to substantially perhaps more expensive) technology to substantially increase the clock rate, but has informed us that this increase the clock rate, but has informed us that this increase will affect the rest of the CPU design, causing increase will affect the rest of the CPU design, causing machine B to require 1.2 times as many clock cycles machine B to require 1.2 times as many clock cycles as machine A for the same program. What clock rate as machine A for the same program. What clock rate should we tell the designer to target?should we tell the designer to target?

Page 15: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Now that We Understand CyclesNow that We Understand Cycles A given program will requireA given program will require

some number of instructions (machine instructions)some number of instructions (machine instructions) some number of cyclessome number of cycles some number of secondssome number of seconds

We have a vocabulary that relates these We have a vocabulary that relates these quantities:quantities: cycle time cycle time (seconds per cycle)(seconds per cycle) clock rate clock rate (cycles per second)(cycles per second) CPICPI (average clocks per instruction) (average clocks per instruction)

a floating point intensive application might have a higher a floating point intensive application might have a higher CPICPI

MIPS MIPS (millions of instructions per second)(millions of instructions per second) this would be higher for a program using simple this would be higher for a program using simple

instructionsinstructions

Page 16: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Performance TrapsPerformance Traps Performance is determined by the execution Performance is determined by the execution

time of a program that you care about.time of a program that you care about.

Do any of the other variables equal Do any of the other variables equal performance?performance? # of cycles to execute program?# of cycles to execute program? # of instructions in program?# of instructions in program? # of cycles per second?# of cycles per second? average # of cycles per instruction?average # of cycles per instruction? average # of instructions per second?average # of instructions per second?

Common pitfall:Common pitfall: Thinking that only one of the variables is indicative of Thinking that only one of the variables is indicative of

performance when it really isnperformance when it really isn’’t.t.

Page 17: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

CPI ExampleCPI Example Suppose we have two implementations of the same Suppose we have two implementations of the same

instruction set architecture (ISA).instruction set architecture (ISA). For some program,For some program,

Machine A has a clock cycle time of 10 ns. and a CPI of 0.5 Machine A has a clock cycle time of 10 ns. and a CPI of 0.5 Machine B has a clock cycle time of 3 ns. and a CPI of 1.5Machine B has a clock cycle time of 3 ns. and a CPI of 1.5

What machine is faster for this program, and by how much?What machine is faster for this program, and by how much?

If two machines have the same ISA which quantity (e.g., If two machines have the same ISA which quantity (e.g., clock rate, CPI, execution time, # of instructions, MIPS) will clock rate, CPI, execution time, # of instructions, MIPS) will always be identical? always be identical?

Page 18: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

CompilerCompiler’’s Performance Impacts Performance Impact Two different compilers are being tested for a 500 MHz Two different compilers are being tested for a 500 MHz

machine with three different classes of instructions: Class machine with three different classes of instructions: Class A, Class B, and Class C, which require one, two, and three A, Class B, and Class C, which require one, two, and three cycles (respectively). Both compilers are used to produce cycles (respectively). Both compilers are used to produce code for a large piece of software. The first compiler's code code for a large piece of software. The first compiler's code uses 5 million Class A instructions, 1 million Class B uses 5 million Class A instructions, 1 million Class B instructions, and 2 million Class C instructions. The second instructions, and 2 million Class C instructions. The second compiler's code uses 7 million Class A instructions, 1 million compiler's code uses 7 million Class A instructions, 1 million Class B instructions, and 1 million Class C instructions.Class B instructions, and 1 million Class C instructions.

Which program uses fewer instructions?Which program uses fewer instructions? InstructionsInstructions11 = (5+1+2) x 10 = (5+1+2) x 1066 = 8 x 10 = 8 x 1066

InstructionsInstructions22 = (7+1+1) x 10 = (7+1+1) x 1066 = 9 x 10 = 9 x 1066

Which sequence uses fewer clock cycles?Which sequence uses fewer clock cycles? CyclesCycles11 = (5(1)+1(2)+2(3)) x 10 = (5(1)+1(2)+2(3)) x 1066 = 13 x 10 = 13 x 1066

CyclesCycles22 = (7(1)+1(2)+1(3)) x 10 = (7(1)+1(2)+1(3)) x 1066 = 12 x 10 = 12 x 1066

Page 19: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

BenchmarksBenchmarks Performance best determined by running a real Performance best determined by running a real

applicationapplication Use programs typical of expected workloadUse programs typical of expected workload Or, typical of expected class of applicationsOr, typical of expected class of applications

e.g., compilers/editors, scientific applications, graphics, etc.e.g., compilers/editors, scientific applications, graphics, etc.

Small benchmarksSmall benchmarks nice for architects and designersnice for architects and designers easy to standardizeeasy to standardize can be abusedcan be abused

SPEC (System Performance Evaluation Cooperative)SPEC (System Performance Evaluation Cooperative) companies have agreed on a set of real program and inputscompanies have agreed on a set of real program and inputs can still be abusedcan still be abused valuable indicator of performance (and compiler valuable indicator of performance (and compiler

technology)technology)

Page 20: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

SPEC ’95SPEC ’95

Periodically updated with newer benchmarksPeriodically updated with newer benchmarks SPEC 2000, SPEC 2006SPEC 2000, SPEC 2006

Benchmark Description

go Artificial intelligence; plays the game of Gom88ksim Motorola 88k chip simulator; runs test programgcc The Gnu C compiler generating SPARC codecompress Compresses and decompresses file in memoryli Lisp interpreterijpeg Image compression and decompressionperl Manipulates strings and prime numbers in the special-purpose programming language Perlvortex A database programtomcatv A mesh generation programswim Shallow water model with 513 x 513 gridsu2cor quantum physics; Monte Carlo simulationhydro2d Astrophysics; Hydrodynamic Naiver Stokes equationsmgrid Multigrid solver in 3-D potential fieldapplu Parabolic/elliptic partial differential equationstrub3d Simulates isotropic, homogeneous turbulence in a cubeapsi Solves problems regarding temperature, wind velocity, and distribution of pollutantfpppp Quantum chemistrywave5 Plasma physics; electromagnetic particle simulation

Page 21: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Other Popular BenchmarksOther Popular Benchmarks Several others Several others

popularpopular industry uses SPECindustry uses SPEC but ordinary but ordinary

consumers use othersconsumers use othersmore representative of more representative of

the work they do!the work they do!– e.g., gaming, e.g., gaming,

Photoshop/Aperture, Photoshop/Aperture, copying huge files, copying huge files, multimedia multimedia coding/decoding, etc.coding/decoding, etc.

Geekbench is quite Geekbench is quite popular!popular!

Page 22: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Amdahl's LawAmdahl's Law Possibly the most important law regarding Possibly the most important law regarding

computer performance:computer performance:

Principle: Make the common case fast!Principle: Make the common case fast! Eventually, performance gains will be limited by what Eventually, performance gains will be limited by what

cannot be improvedcannot be improvede.g., you can raise the speed limit, but there are still traffic e.g., you can raise the speed limit, but there are still traffic

lightslights

Page 23: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

Amdahl's Law: ExampleAmdahl's Law: Example

Example: "Suppose a program runs in 100 Example: "Suppose a program runs in 100 seconds on a machine, where multiplies are seconds on a machine, where multiplies are executed 80% of the time. How much do we executed 80% of the time. How much do we need to improve the speed of multiplication if need to improve the speed of multiplication if we want the program to run 4 times faster?"we want the program to run 4 times faster?"

How about making it 5 times faster?How about making it 5 times faster?

25 = 80/r + 20 r = 16x

20 = 80/r + 20 r = ?

Page 24: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

ExampleExample Suppose we enhance a machine making all floating-Suppose we enhance a machine making all floating-

point instructions run FIVE times faster. If the point instructions run FIVE times faster. If the execution time of some benchmark before the execution time of some benchmark before the floating-point enhancement is 10 seconds, what will floating-point enhancement is 10 seconds, what will the speedup be if only half of the 10 seconds is spent the speedup be if only half of the 10 seconds is spent executing floating-point instructions?executing floating-point instructions?

We are looking for a benchmark to show off the new We are looking for a benchmark to show off the new floating-point unit described above, and want the floating-point unit described above, and want the overall benchmark to show at least a speedup of 3. overall benchmark to show at least a speedup of 3. What percentage of the execution time would floating-What percentage of the execution time would floating-point instructions have to account for in this program point instructions have to account for in this program in order to yield our desired speedup on this in order to yield our desired speedup on this benchmark?benchmark?

5/5 + 5 = 6 Relative Perf = 10/6 = 1.67 x

100/3 = f/5 + (100 – f) = 100 – 4f/5 f = 83.33

Page 25: Computer Organization and Design Performance Montek Singh Wed, Nov 7, 2012 Lecture 14.

RememberRemember Performance is specific to a particular programPerformance is specific to a particular program

Total execution time is a consistent summary of Total execution time is a consistent summary of performanceperformance

For a given architecture performance comes from:For a given architecture performance comes from: increases in clock rate (without adverse CPI affects)increases in clock rate (without adverse CPI affects) improvements in processor organization that lower CPIimprovements in processor organization that lower CPI compiler enhancements that lower CPI and/or instruction compiler enhancements that lower CPI and/or instruction

countcount

Pitfall: Expecting improvements in one aspect of Pitfall: Expecting improvements in one aspect of a machinea machine’’s performance to affect the total s performance to affect the total performanceperformance

You should not always believe everything you You should not always believe everything you read! read! Read carefully! Especially what the business guys say!Read carefully! Especially what the business guys say!