Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT...

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Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G. Cambon [email protected]

Transcript of Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT...

Page 1: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Metrics for Reconfigurable Architectures

Characterization:

Remanence and Scalability

Pascal BENOITG. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Cambon

[email protected]

Page 2: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Outline

Context

Remanence

Operative Density

Case Study: the Systolic Ring

Conclusion and perspectives

Page 3: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Context

SoC and Customizable Platform Based-Design

Specifications

Processing power

Area

Power consumption

etc.

ReconfigurableHardware

(Coarse Grain)ASIC 1

DSP

Reconfigurable

Hardware (Fine Grain)

We need metrics to compare !

ASIC 2

ControllerCPU

RAMROM

Flash

?

ControllerCPU

RAMROM

Flash

?

Page 4: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Context Architecture characterization

• Processing power• Power consumption• Flexibility• Parallelism potential• Dynamism• Silicon area• Scalability• …

Metrics• Dehon criterion• Remanence• Operative density

Generalisation to

Architectural model

characterisation and metrics depend on architectural

parameters

« Comparing architectures with a minimum of criteria »

Page 5: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Remanence

Definition

NPE: # of processing elements (PE) Nc: # of PE configurable per cycle

Fe: operating frequency Fc configuration frequency

Characterizes the Dynamism

# of cycles to (re)configure the whole architecture

Amount of data to compute between 2 configurations

FcNc

FeNR PE

.

.

Interconnection

PE PE PE PE PE

instn

Configuration Memory

Processing Elements

Routing

Sequencing Unit

…inst3inst2inst1inst0Sequencer

Interconnection

PE PE PE PE PE

instn

Configuration Memory

Processing Elements

Routing

Sequencing Unit

…inst3inst2inst1inst0Sequencer

Fe

Fc

Page 6: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Remanence

Comparisons

Only 1 cycle to (re)configure the DSP Few cycles to (re)configure coarse grain RA (8) Many cycles to (re)configure fine grain RA

NPE Nc RName Type F (MHz)

2304 0.14 16457

24 4 6

24 4 6

128 16 8

ARDOISE

Systolic Ring

DART

MorphoSys

TMS320C62

Fine Grain RA

Coarse Grain RA

Coarse Grain RA

Coarse Grain RA

DSP VLIW 8 8

33

200

130

100

300 1

FcNc

FeNR PE

.

.

Page 7: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Operative Density

Definition

NPE: # of PE A: Core Area (relative unit ²)

Area can be expressed as a function of NPE (architectural model)

Characterizes Fixed NPE

• # of operators per relative area unit

Variable NPE

• OD as a function of NPE

A(NPE) = NPE*APE+Ainterconnect(NPE)+Amemory(NPE) Asequencer(NPE)

• OD(NPE) = k A(NPE) =k.NPE the architectural model is scalable

)()(

PE

PEPE NA

NNOD

Interconnection

PE PE PE PE PE

instn

Configuration Memory

Processing Elements

Routing

Sequencing Unit

…inst3inst2inst1inst0Sequencer

Interconnection

PE PE PE PE PE

instn

Configuration Memory

Processing Elements

Routing

Sequencing Unit

…inst3inst2inst1inst0Sequencer

Page 8: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Operative Density

Comparisons

DSP: sequencer area ARDOISE : fine granularity Coarse granularity Reconfigurable architectures

• Scalabilty of interconnect resources ?• Generalization to architectural models

)²2/)((

)(²)(

µmW

µmAMA

)()(

PE

PEPE NA

NNOD

Name Type Area(M²)

ARDOISE Fine Grain RA 26 12300 0.2

Systolic Ring (S=1, C=6, N=2) Coarse Grain RA 24 500 4.8

Systolic Ring (S=1, C=16, N=4) Coarse Grain RA 128 7600 1.7

DART Coarse Grain RA 24 300 8.0

MorphoSys Coarse Grain RA 128 5500 2.3

TMS320C62 DSP VLIW 8 12300 0.1

Name Type NPEArea(M²) OD (NPE)

ARDOISE Fine Grain RA 26 12300 0.2

Systolic Ring (S=1, C=6, N=2) Coarse Grain RA 24 500 4.8

Systolic Ring (S=1, C=16, N=4) Coarse Grain RA 128 7600 1.7

DART Coarse Grain RA 24 300 8.0

MorphoSys Coarse Grain RA 128 5500 2.3

TMS320C62 DSP VLIW 8 12300 0.1

Interconnection

PE PE PE PE PE

instn

Configuration Memory

Processing Elements

Routing

Sequencing Unit

…inst3inst2inst1inst0Sequencer

Interconnection

PE PE PE PE PE

instn

Configuration Memory

Processing Elements

Routing

Sequencing Unit

…inst3inst2inst1inst0Sequencer

Page 9: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

-Architectural Model Characterization -

A Case Study:

The Systolic Ring

Page 10: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

The Systolic Ring Architectural model Based on a coarse-grained

configurable PE

Dnode

Register

File

ALU + MULT

IN 1 IN 2

Dnode

Register

File

ALU + MULT

IN 1 IN 2

Page 11: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

The Systolic Ring Architectural model Based on a coarse-grained

configurable PE Circular datapaths

Dnode Dnode

Dnode

Dnode

Dnode

Dnode

Dnode Dnode

Switch

SwitchSw

itch

Switch

Page 12: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

The Systolic Ring Architectural model Based on a coarse-grained

configurable PE Circular datapaths 3 parameters

• C: # of layers• N: # of Dnodes per layer

Dnode Dnode

Dnode

Dnode

Dnode

Dnode

Dnode Dnode

Switch

SwitchSw

itch

Switch

layer 1

layer 2

layer 3

layer 4

# of layers : 4 (C = 4) # of Dnode per layer : 2 (N = 2)

Page 13: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

The Systolic Ring Architectural model Based on a coarse-grained

configurable PE Circular datapaths 3 parameters

• C: # of layers• N: # of Dnodes per layer

Switch

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ch

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layer 1 layer 2

layer 3

layer 4

layer 5layer 6

layer 7

layer 8

# of layers : 8 (C = 8) # of Dnode per layer : 2 (N = 2)

Page 14: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

The Systolic Ring Architectural model Based on a coarse-grained

configurable PE Circular datapaths 3 parameters

• C: # of layers• N: # of Dnodes per layer• S: # of Rings

Switch

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ch

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# of layers : 8 (C = 8) # of Dnode per layer : 2 (N = 2)

1 Systolic Ring (S = 1)

layer 1 layer 2

layer 3

layer 4

layer 5layer 6

layer 7

layer 8

Page 15: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

The Systolic Ring Architectural model Based on a coarse-grained

configurable PE Circular datapaths 3 parameters

• C: # of layers• N: # of Dnodes per layer• S: # of Rings

Dnode Dnode

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Switc

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h

Switch

Global Bus

Dnode Dnode

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Global Bus

# of layers : 4 (C = 4) # of Dnode per layer : 2 (N = 2)

4 Systolic Ring (S = 4)

Page 16: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

The Systolic Ring Architectural model Based on a coarse-grained

configurable PE Circular datapaths 3 parameters

• C: # of layers• N: # of Dnodes per layer• S: # of Rings

Control Units• Local Dnodes units

Dnode Dnode

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Dnode

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Switc

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Page 17: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

The Systolic Ring Architectural model Based on a coarse-grained

configurable PE Circular datapaths 3 parameters

• C: # of layers• N: # of Dnodes per layer• S: # of Rings

Control Units• Local Dnode unit• Local Ring unit

Dnode Dnode

Dnode

Dnode

Dnode

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Switc

h

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Global Bus

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Page 18: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

The Systolic Ring Architectural model Based on a coarse-grained

configurable PE Circular datapaths 3 parameters

• C: # of layers• N: # of Dnodes per layer• S: # of Rings

Control Units• Local Dnode unit• Local Ring unit• Global unit

Dnode Dnode

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Local RingSequencer

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Page 19: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

Remanence Only one Systolic Ring S=1

NPE = # of Dnodes = N*C*S = N*C

Remanence formalisation

• k= C/N

PEPE NkNR .)(

0

5

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REMANENCE

k = 1

k = 2k = 4

k = 8

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REMANENCE

k = 1

k = 2k = 4

k = 8

Page 20: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

A(NPE) formalisation for OD(NPE)

0.18µ CMOS technology

• C = 4, N = 2, S = 1

• A(8) = 3.3 mm ²

• A(8) = 407M ²

Area formalisation:

• A ( NPE ) = f ( N, C, S )

depends on C / N ratio and S

• NPE = N.C.S

Area formalisation calibrated on these results

Switch 1 Switch 2

Switch 3 Switch 4

N1,1 N1,2

N3,1 N3,2

N2,2N2,1

N4,1 N4,2

BN1 BN3 BN2 BN4

Switch 1 Switch 2

Switch 3 Switch 4

N1,1 N1,2

N3,1 N3,2

N2,2N2,1

N4,1 N4,2

BN1 BN3 BN2 BN4

Systolic Ring layout(C=4, N=2, S=1)

Page 21: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

OD(NPE) for 1 Systolic Ring

(S=1)

k = C/N = [ 0.25 ; 4 ]

decreasing OD(NPE)

OD(NPE) for several Systolic Ring

k = C/N = 4

multi-ring instanciations increase

scalability

0,000

0,005

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0,025

0,030

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0 50 100 150 200 # Dnodes

Operative Density

C/N=4

C/N=0.5

C/N=0.25

0,000

0,005

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0,020

0,025

0,030

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0 50 100 150 200 # Dnodes

Operative Density

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C/N=0.5

C/N=0.25

0,000

0,005

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0,025

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0,040

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0 50 100 150 200 # Dnodes

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1 Systolic Ring

2 Systolic Ring

4 Systolic Ring

8 Systolic Ring

0,000

0,005

0,010

0,015

0,020

0,025

0,030

0,035

0,040

0,045

0 50 100 150 200 # Dnodes

Operative Density

1 Systolic Ring

2 Systolic Ring

4 Systolic Ring

8 Systolic Ring

Page 22: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

Customisation and design technique• between 60 and 80 processing elements

0,000

0,005

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Rem

anen

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Page 23: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

Customisation and design technique• between 60 and 80 processing elements

0,000

0,005

0,010

0,015

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0,040

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Page 24: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

Customisation and design technique

0,000

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ive

Den

sity

S=1

S=2

S=4

S=8

0

5

10

15

20

Remanence

Rem

anen

ce

0,000

0,005

0,010

0,015

0,020

0,025

0,030

0,035

0,040

0 20 40 60 80 100 120 140

# Dnodes

Op

erat

ive

Den

sity

S=1

S=2

S=4

S=8

0

5

10

15

20

Remanence

Rem

anen

ce

Design Space

Page 25: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

0,000

0,005

0,010

0,015

0,020

0,025

0,030

0,035

0,040

0 20 40 60 80 100 120 140

# Dnodes

Op

erat

ive

Den

sity

S=1

S=2

S=4

S=8

0

5

10

15

20

Remanence

Rem

anen

ce

0,000

0,005

0,010

0,015

0,020

0,025

0,030

0,035

0,040

0 20 40 60 80 100 120 140

# Dnodes

Op

erat

ive

Den

sity

S=1

S=2

S=4

S=8

0

5

10

15

20

Remanence

Rem

anen

ce

Best OD and remanenceWorst interconnect resources and processing power

Design Space

Page 26: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

0,000

0,005

0,010

0,015

0,020

0,025

0,030

0,035

0,040

0 20 40 60 80 100 120 140

# Dnodes

Op

erat

ive

Den

sity

S=1

S=2

S=4

S=8

0

5

10

15

20

Remanence

Rem

anen

ce

0,000

0,005

0,010

0,015

0,020

0,025

0,030

0,035

0,040

0 20 40 60 80 100 120 140

# Dnodes

Op

erat

ive

Den

sity

S=1

S=2

S=4

S=8

0

5

10

15

20

Remanence

Rem

anen

ce

Design Space

Worst OD and remanenceBest interconnect resources and processing power

Page 27: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Architectural model Characterization

0,000

0,005

0,010

0,015

0,020

0,025

0,030

0,035

0,040

0 20 40 60 80 100 120 140

# Dnodes

Op

erat

ive

Den

sity

S=1

S=2

S=4

S=8

0

5

10

15

20

Remanence

Rem

anen

ce

0,000

0,005

0,010

0,015

0,020

0,025

0,030

0,035

0,040

0 20 40 60 80 100 120 140

# Dnodes

Op

erat

ive

Den

sity

S=1

S=2

S=4

S=8

0

5

10

15

20

Remanence

Rem

anen

ce

R and OD can be integrated in CAD tools to observe architectural parameters effects and choose best trade-offs in the design space

Page 28: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

R1 OD1 R2 OD2 R3 OD3 Rn ODn

Conclusion and perspectives

IP 1

ControllerCPU

RAMROM

Flash

?

ControllerCPU

RAMROM

Flash

?

Specifications

Processing power

Area

Power consumption

etc.

IP 2 IP 3 IP n

Page 29: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

R1 OD1 R2 OD2 R3 OD3 Rn ODn

Conclusion and perspectives

IP 1

ControllerCPU

RAMROM

Flash

?

ControllerCPU

RAMROM

Flash

?

Specifications

Processing power

Area

Power consumption

etc.

IP 2 IP 3 IP n

Architectural models

Comparisons

Page 30: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

R1 OD1 R2 OD2 R3 OD3 Rn ODn

Conclusion and perspectives

IP 1

Specifications

Processing power

Area

Power consumption

etc.

IP 2 IP 3 IP n

Architectural model

Customisation

ControllerCPU

RAMROM

Flash

IP 3

N=4 C=8

S=2

ControllerCPU

RAMROM

Flash

IP 3

N=4 C=8

S=2

Page 31: Metrics for Reconfigurable Architectures Characterization: Remanence and Scalability Pascal BENOIT G. Sassatelli – L. Torres – D. Demigny M. Robert – G.

Thank You