A Trace-based Scenario Database for High-level Simulation of ...
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A Trace-based Scenario Database for High-level Simulation of ...
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Fast Scenario-based Design Space Exploration using Feature Selection Peter van Stralen & Andy Pimentel, University of Amsterdam PARMA 2012 February 29, 2012
Contents !
Introduction !
Early DSE
!
Application Scenarios
!
Scenario-Based DSE !
Design Explorer
!
Subset Selector
!
Experiments
!
Conclusion
Introduction
Early Embedded System Design !
Computer Aided Design !
!
Kahn Process Network (KPN)
App0
IP-based design: !
!
func2
Application Model: !
!
func1
Multiprocessor System-On-Chip
Multiple applications
Mapping !
Allocation: Select IPs for MPSoC
!
Binding: Map processes and channels on IP
func3
func4
App1
CPU-A
MEM MEM 2 3
CPU-E CPU-C MPSoC
func5
Introduction
Early Embedded System Design !
Computer Aided Design !
Application Model: !
!
!
App0
IP-based design: !
!
Kahn Process Network (KPN) Multiprocessor System-On-Chip
Multiple applications
Mapping !
Allocation: Select IPs for MPSoC
!
Binding: Map processes and channels on IP
func3
func4
App1
CPU-A
MEM MEM 2 3
CPU-E CPU-C
func1
MPSoC
func2
func5
Introduction
Early Embedded System Design !
Computer Aided Design !
Application Model: !
!
!
Multiprocessor System-On-Chip
Multiple applications
Mapping ! !
App0
IP-based design: !
!
Kahn Process Network (KPN)
Allocation: Select IPs for MPSoC Binding: Map processes and channels on IP
App1
CPU-A func3
func4
MEM MEM 2 3
CPU-E CPU-C
func1
func2
func5
MPSoC
Introduction
Isolated Design
Why scenarios?
P1
App 0
P2
P3
App 1
Mem
Mem
Multi-application design: !
DSE
Isolated design !
DSE
Map each application in isolation
Pessimistic design !
!
Design for pessimistic case where all applications are active
Scenario-based design ! ! !
Design for application scenarios Realistic view of system usage No over-design
Exec. time
!
Select mapping
Exec. time
Select mapping
Power
Power
P1
Mem
P2
P3
Mem
Introduction Why scenarios?
Pessimistic Design P1
P2
P3
App 0 App 1
Mem
Multi-application design: !
DSE
Isolated design !
Map each application in isolation
!
Pessimistic design !
!
Design for pessimistic case where all applications are active
Scenario-based design ! ! !
Design for application scenarios Realistic view of system usage No over-design
Exec. time
Select mapping
Power
P1
Mem
P2
P3
Mem
Mem
Introduction Why scenarios?
Scenario-based Design P1
P2
P3
Scenario Database Mem
Multi-application design: !
DSE
Isolated design !
Map each application in isolation
!
Pessimistic design !
!
Design for pessimistic case where all applications are active
Scenario-based design ! ! !
Design for application scenarios Realistic view of system usage No over-design
Exec. time
Select mapping
Power
P1
Mem
P2
P3
Mem
Mem
Contents !
Introduction !
Early DSE
!
Application Scenarios
!
Scenario-Based DSE !
Design Explorer
!
Subset Selector
!
Experiments
!
Conclusion
Application Scenarios Inter Application Scenario
Intra and Inter application gsm: INACTIVE
mp3: ACTIVE video: ACTIVE
Intra Application Scenario
gsm: Send
Receive
video: Simple profile
Advanced Simple Profile
mp3: Mono sound
Stereo sound
}
Application Scenario
video: Simple Profile
mp3: Mono sound
Contents !
Introduction !
Early DSE
!
Application Scenarios
!
Scenario-Based DSE !
Design Explorer
!
Subset Selector
!
Experiments
!
Conclusion
Scenario-Based DSE Overview
Parameters !
Rationale !
!
!
!
!
Exponential number of scenarios: Predict fitness of MPSoC Design using scenario subset Representativeness subset only be judged using current MPSoC designs Mutual dependency solved by co-exploration
Design Explorer !
Find best MPSoC designs
!
Averaged over all the scenarios
Architectural Model Application Model
Scenario-Based Design Space Exploration
Candidate Designs
Scenario Database
Selector Best Subset Sample Designs
Updater
Subset Selector !
Get representative subset of scenarios
!
Based on current trainer
Trainer
Scenario-Based DSE Overview
Parameters !
Rationale !
!
!
!
!
Exponential number of scenarios: Predict fitness of MPSoC Design using scenario subset Representativeness subset only be judged using current MPSoC designs Mutual dependency solved by co-exploration
Design Explorer !
Find best MPSoC designs
!
Averaged over all the scenarios
Architectural Model Application Model
Scenario-Based Design Space Exploration
Candidate Designs
Scenario Database
Selector Best Subset Sample Designs
Updater
Subset Selector !
Get representative subset of scenarios
!
Based on current trainer
Trainer
Selector Best Subset Sample Designs
Updater
Trainer
Selector
Scenario-Based DSE Design Explorer (Sesame) !
Simulation of Embedded System Architectures (for Multi-level Exploration) ! !
!
Separation of concerns !
!
High level modeling using events Optimized for speed
Application / Mapping / Architecture
Multi-Objective GA ! !
Chromosome: process and channel part Performance, Power, Cost, ...
Best Subset Sample Designs
Updater
Trainer
Selector Best Subset Sample Designs
Scenario-Based DSE
Updater
Design Explorer (Sesame)
Inter application scenario Intra application Intra application scenario scenario
! !
!
High level modeling Optimized for speed
Separation of concerns !
0
6 8
12 9
Quality Control 2 11
10
Display
MP3
01012
Application / Mapping / Architecture
0 FIFO
!
Video
0
2 1
2
1 Memory
0 Processor
Processor
Multi-Objective GA Chromosome: process and channel part Performance, Power, Cost, ...
4
20111011
0
!
3
1
7
Processor
!
Decode
Encode
Mapping
Simulation of Embedded System Architectures (for Multi-level Exploration)
5
Sample
Architecture model
!
Application model
Trainer
Selector Best Subset Sample Designs
Updater
Trainer
Selector Best Subset Sample Designs
Scenario-Based DSE Subset Selector !
!
!
Updater
Trainer
Select representative subset of scenarios !
Subset quality determined on current trainer
!
Subset selection using Feature Selection
!
Oscillating Search: incremental and stoppable
Trainer !
Filled with MPSoC designs
!
Selected from Design Explorer
!
Exhaustively evaluated
Fitness Value I. Rank Correlation
26 6 19 7 42 48
Do best replacement
Trainer
26 6 33 7 42 48
Selector Best Subset Sample Designs
Scenario-Based DSE
Updater
Subset Selector
Trainer
Rank Correlation
Select representative subset of scenarios ! ! !
Subset quality determined on current trainer Subset selection using Feature Selection Oscillating Search: incremental and stoppable
f2
Real Ranking
!
3
4 3
2 2
4 3
2
Trainer ! !
f1
Filled with mappings Selected from mapping space Exhaustively evaluated
Fitness Value I. Rank Correlation
f2
Predicted Ranking
!
!
3
1 1
!
4
2
4 2 2
1 1
4
3
1
3
3 2
33% Misclassification
f1
Selector Best Subset Sample Designs
Updater
Trainer
Selector Best Subset Sample Designs
Scenario-based DSE
Updater
Trainer Selection !
!
Trainer
Conflicting requirements !
Compact
!
Representative
Update procedure
Trainer Selection f2
2. Evaluate real fitness 3. Add designs to trainer 4. Truncate trainer (based on real rank) !
Limited overhead updater !
Separate worker threads for Design Explorer and Updater
