Chapter One Introduction to Pipelined Processors

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Chapter One Introduction to Pipelined Processors. Principle of Designing Pipeline Processors. (Design Problems of Pipeline Processors). Job Sequencing and Collision Prevention. Job Sequencing and Collision Prevention . Consider reservation table given below at t=0. - PowerPoint PPT Presentation

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Chapter One Introduction to Pipelined

Processors

Principle of Designing Pipeline Processors

(Design Problems of Pipeline Processors)

Job Sequencing and Collision Prevention

Job Sequencing and Collision Prevention

• Consider reservation table given below at t=0

  0 1 2 3 4 5Sa A ASb A ASc A A

Job Sequencing and Collision Prevention

• Consider next initiation made at t=1

• The second initiation easily fits in the reservation table

  0 1 2 3 4 5 6 7Sa A1 A2 A1 A2

Sb A1 A2 A1 A2

Sc A1 A2 A1 A2

Job Sequencing and Collision Prevention • Now consider the case when first initiation is

made at t = 0 and second at t = 2.

• Here both markings A1 and A2 falls in the same stage time units and is called collision and it must be avoided

  0 1 2 3 4 5 6 7Sa A1 A2 A1 A2

Sb A1 A2

A1A2 A2

Sc A1 A2 A1A2 A2

Terminologies

Terminologies

• Latency: Time difference between two initiations in units of clock period

• Forbidden Latency: Latencies resulting in collision

• Forbidden Latency Set: Set of all forbidden latencies

General Method of finding Latency

Considering all initiations:

• Forbidden Latencies are 2 and 5

  0 1 2 3 4 5 6 7 8 9 10Sa

A1

A2

A3 A4 A5

A6A1 A2 A3 A4

A5 A6

Sb

A1

A2

A1A3

A2A4

A3A5

A4A6 A5 A6

Sc

A1 A2

A1A3

A2A4

A3A5

A4A6 A5

A6

Shortcut Method of finding Latency

• Forbidden Latency Set = {0,5} U {0,2} U {0,2} = { 0, 2, 5 }

Terminologies• Initiation Sequence : Sequence of time units

at which initiation can be made without causing collision

• Example : { 0,1,3,4 ….}• Latency Sequence : Sequence of latencies

between successive initiations• Example : { 1,2,1….}• For a RT, number of valid initiations and

latencies are infinite

Terminologies• Initiation Rate : – The average number of initiations done per unit

time– It is a positive fraction and maximum value of IR is 1

• Average Latency : The average of latency of a given latency sequence

AL = 1/IR

Terminologies• Latency Cycle:• Among the infinite possible latency sequence,

the periodic ones are significant. E.g. { 1, 3, 3, 1, 3, 3,… }• The subsequence that repeats itself is called

latency cycle.E.g. {1, 3, 3}

Terminologies• Period of cycle: The sum of latencies in a

latency cycle (1+3+3=7)• Average Latency: The average taken over its

latency cycle (AL=7/3=2.33)• To design a pipeline, we need a control

strategy that maximize the throughput (no. of results per unit time)

• Maximizing throughput is minimizing AL

Terminologies

• Control Strategy – Initiate pipeline as specified by latency sequence.– Latency sequence which is aperiodic in nature is

impossible to design• Thus design problem is arriving at a latency

cycle having minimal average latency.

Terminologies• Stage Utilization Factor (SUF):• SUF of a particular stage is the fraction of time units

the stage used while following a latency sequence.• Example: Consider 5 initiations of function A

as below  0 1 2 3 4 5 6 7 8 9 10 11 12 13

Sa A1 A2 A3 A1 A2 A4

A5

A3 A4 A5

Sb A1 A2 A1 A2 A3 A3

A4

A5 A4 A5

Sc A1 A2 A1 A2 A3

A3

A4 A5 A4 A5

Terminologies

• SUF of stage Sa is number of markings present along Sa divided by the time interval over which marking is counted.

• SUF(Sa) = SUF(Sb) = SUF(Sc) = 10/14

Terminologies• Let SU(i) be the stage utilization factor of stage i• Let N(i) be no. of markings against stage i in the

reservation table• Suppose we initiate pipeline with initiation rate

(IR), then SU(i) is given by

period ofDuration N(i) x periodgiven aover made sinitiation of No. SU(i)

SUF

142 x 5 SU(a)

period ofDuration N(i) x periodgiven aover made sinitiation of No. SU(i)

Terminologies• Minimum Average Latency (MAL)• Thus SU(i) = IR x N(i)• SU(i) ≤ 1 IR x N(i) ≤ 1

N(i) ≤ 1/IR N(i) ≤ AL • Therefore

)(max1

iNMALk

i

State Diagram

• Suppose a pipeline is initially empty and make an initiation at t = 0.

• Now we need to check whether an initiation possible at t=i for i > 0.

• bi is used to note possibility of initiation

• bi = 1 initiation not possible

• bi = 0 initiation possible

State Diagram

bi 1 0 1 0 01

State Diagram• The above binary representation (binary vector)

is called collision vector(CV)• The collision vector obtained after making first

initiation is called initial collision vector(ICV)ICVA = (101001)

• The graphical representation of states (CVs) that a pipeline can reach and the relation is given by state diagram

State Diagram• States (CVs) are denoted by nodes • The node representing CVt-1 is connected to

CVt by a directed graph from CVt-1 to CVt and similarly for CVt* with a * on arc

Procedure to draw state diagram

1. Start with ICV2. For each unprocessed state, say CVt-1, do as

follows:a) Find CVt from CVt-1 by the following steps

1. Left shift CVt-1 by 1 bit2. Drop the leftmost bit3. Append the bit 0 at the right-hand end

Procedure to draw state diagram

b) If the 0th bit of CVt is 0, then obtain CV* by logically ORing CVt with ICV.

c) Make a new node for CVt and join with CVt-1 with an arc if the state CVt does not already exist.

d) If CV* exists, repeat step (c), but mark the arc with a *.

State Diagram1 0 1 0 0 1

State Diagram1 0 1 0 0 1

0 1 0 0 1 0

Left Shift

State Diagram1 0 1 0 0 1

0 1 0 0 1 0

Zero CV* exists

State Diagram1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

ICV – 101001 OR CVi – 010010CV* 111011

State Diagram1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

1 0 0 1 0 0

No CV*

1 1 0 1 1 0 No CV*

Left ShiftLeft Shift

State Diagram

No CV*

Left Shift

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

ICV – 101001 OR CVi – 001000CV* 101001

1 0 0 1 0 0 1 1 0 1 1 0

0 0 1 0 0 0

Zero CV* exists

1 0 1 1 0 0

*Left Shift

State Diagram1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

ICV – 101001 CVi – 010000CV* 111001

1 0 0 1 0 0 1 1 0 1 1 0

0 0 1 0 0 0

0 1 0 0 0 0

1 0 1 1 0 0

*

1 1 1 0 0 1

Zero CV* exists

*

1 0 0 1 0 0

ICV – 101001 CVi – 011000 CV* 111001

0 1 0 0 1 0*

0 0 1 0 0 0

0 1 0 0 0 0 1 1 1 0 0 1

1 0 1 0 0 1

1 1 1 0 1 1

*

1 1 0 1 1 0

1 0 1 1 0 0

0 1 1 0 0 0

* Zero CV* exists

1 1 0 0 0 0

0 0 1 0 0 0

0 1 0 0 0 0 1 1 1 0 0 1

1 0 1 1 0 0

0 1 1 0 0 0

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

1 0 0 1 0 0 1 1 0 1 1 0

*

*

No CV*

*

*

0 1 0 0 0 0

1 0 0 0 0 0

0 1 1 0 0 0

1 1 0 1 1 0

1 1 1 0 0 1

1 0 1 1 0 0

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

1 0 0 1 0 0

0 0 1 0 0 0

*

1 1 0 0 0 0

No CV*

*

*

1 1 0 0 0 0 *

*

*

*

1 0 0 0 0 0

0 0 0 0 0 0

0 0 1 0 0 0

0 1 0 0 0 0 1 1 1 0 0 1

1 0 1 1 0 0

0 1 1 0 0 0

1 0 0 1 0 0

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

1 1 0 1 1 0

*

*

0 0 0 0 0 0

*

*

0 1 0 0 0 0 1 1 1 0 0 1 0 1 1 0 0 0

1 0 0 1 0 0 1 1 0 1 1 0

0 0 1 0 0 0 1 0 1 1 0 0

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

*

1 1 0 0 0 0

1 0 0 0 0 0

1 0 0 1 0 0

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

1 1 0 1 1 0

0 0 1 0 0 0

0 1 0 0 0 0 1 1 1 0 0 1

1 0 1 1 0 0

0 1 1 0 0 0

*

*

1 1 0 0 0 0

1 0 0 0 0 0

0 0 0 0 0 0

*

*

1 1 0 0 1 0

*

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

1 0 0 1 0 0 1 1 0 1 1 0

0 0 1 0 0 0

0 1 0 0 0 0 1 1 1 0 0 1

1 0 1 1 0 0

0 1 1 0 0 0

*

*

1 1 0 0 0 0

1 0 0 0 0 0

0 0 0 0 0 0

*

*

1 1 0 0 1 0

*

State Diagram• From the above diagram, closed loops can be

identified as latency cycles.• To find the latency corresponding to a loop, start

with any initial * count the number of states before we encounter another * and reach back to initial *.

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

1 0 0 1 0 0 1 1 0 1 1 0

0 0 1 0 0 0

0 1 0 0 0 0 1 1 1 0 0 1

1 0 1 1 0 0

0 1 1 0 0 0

*

*

1 1 0 0 0 0

1 0 0 0 0 0

0 0 0 0 0 0

*

*

1 1 0 0 1 0

*

Latency = (3)

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

1 0 0 1 0 0 1 1 0 1 1 0

0 0 1 0 0 0

0 1 0 0 0 0 1 1 1 0 0 1

1 0 1 1 0 0

0 1 1 0 0 0

*

*

1 1 0 0 0 0

1 0 0 0 0 0

0 0 0 0 0 0

*

*

1 1 0 0 1 0

*

Latency = (1,3,3)

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

1 0 0 1 0 0 1 1 0 1 1 0

0 0 1 0 0 0

0 1 0 0 0 0 1 1 1 0 0 1

1 0 1 1 0 0

0 1 1 0 0 0

*

*

1 1 0 0 0 0

1 0 0 0 0 0

0 0 0 0 0 0

*

*

1 1 0 0 1 0

*

Latency = (4,3)

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

1 0 0 1 0 0 1 1 0 1 1 0

0 0 1 0 0 0

0 1 0 0 0 0 1 1 1 0 0 1

1 0 1 1 0 0

0 1 1 0 0 0

*

*

1 1 0 0 0 0

1 0 0 0 0 0

0 0 0 0 0 0

*

*

1 1 0 0 1 0

*

Latency = (1,6)

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

1 0 0 1 0 0 1 1 0 1 1 0

0 0 1 0 0 0

0 1 0 0 0 0 1 1 1 0 0 1

1 0 1 1 0 0

0 1 1 0 0 0

*

*

1 1 0 0 0 0

1 0 0 0 0 0

0 0 0 0 0 0

*

*

1 1 0 0 1 0

*

Latency = (1,7)

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

1 0 0 1 0 0 1 1 0 1 1 0

0 0 1 0 0 0

0 1 0 0 0 0 1 1 1 0 0 1

1 0 1 1 0 0

0 1 1 0 0 0

*

*

1 1 0 0 0 0

1 0 0 0 0 0

0 0 0 0 0 0

*

*

1 1 0 0 1 0

*

Latency = (4)

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

1 0 0 1 0 0 1 1 0 1 1 0

0 0 1 0 0 0

0 1 0 0 0 0 1 1 1 0 0 1

1 0 1 1 0 0

0 1 1 0 0 0

*

*

1 1 0 0 0 0

1 0 0 0 0 0

0 0 0 0 0 0

*

*

1 1 0 0 1 0

*

Latency = (6)

1 0 1 0 0 1

0 1 0 0 1 0 1 1 1 0 1 1

*

1 0 0 1 0 0 1 1 0 1 1 0

0 0 1 0 0 0

0 1 0 0 0 0 1 1 1 0 0 1

1 0 1 1 0 0

0 1 1 0 0 0

*

*

1 1 0 0 0 0

1 0 0 0 0 0

0 0 0 0 0 0

*

*

1 1 0 0 1 0

*

Latency = (7)

State Diagram• The state with all zeros has a self-loop which

corresponds to empty pipeline and it is possible to wait for indefinite number of latency cycles of the form (1,8), (1,9),(1,10) etc.

• Simple Cycle: latency cycle in which each state is encountered only once.

• Complex Cycle: consists of more than one simple cycle in it.

• It is enough to look for simple cycles

State Diagram• In the above example, the cycle that offers MAL

is (1, 3, 3) (MAL = (1+3+3)/3 = 2.33)• Thus we have,

• A cycle arrived so is called greedy cycle, which minimize latency between successive initiation

2)(max1

iNMALk

i