Model homogenization for power estimation and design exploration

Transcription

1 + Rabie Ben Atitallah, Associate Professor Université de Lille Nord de France Université de Valenciennes, LAMIH INRIA Lille, DaRT team Model homogenization for power estimation and design exploration

2 + Introduction 2 n Intensive signal processing applications n Homogenous and heterogeneous multiprocessor architecture n Design space exploration n Design tools n Power consumption is becoming a critical pre-design metric n The main challenges: estimation accuracy/speed trade-off? n Which level? n Which methodology?

3 + Outline 3 n IP power model n Model homogenization and MDE n Example and results nconclusion

4 + Annotated power models 4 n Available IP description n Intrusive approach n IP modification n Counter s occurrence n ++ Accurate n ++ Interoperability n - - Interchangeability n Automize in the design process

5 + IP assembly based SoC design 5

6 + Power model IP 6 n Uses the communication interface n Non-intrusive approach n ++ Independent of the IP description n ++ Interchangeability n ++ Automize in the design process n + Interoperability Power model IP n + Accurate

7 + Power model IP 7 n For different type of components: n Hardware: Processors, Memory, I/O peripheral, Hardware accelerator, etc. n Software: OS, task, etc. n Generic power modeling methodology Multimedia embedded platforms n Functional Level Power Analysis (FLPA) n Reduced number of experiments n Accurate power models Power Model s Task Functional Level Power Analysis (FLPA) Power Model s OS Power Model s Interpolation of curves

8 + Examples (collaboration with LAB-STICC, UBS) 8 n XUP platform n OMAP 3530 n FPGA resources

9 + Model homogenization 9 n Unify the power model specification for all components n Specification language n Automatic instantiation and plug-in of power models on virtual platforms n Different abstraction levels: functional, transactional, cycleaccurate, etc. n Different system description languages: C/C++, SystemC, VHDL n Model Driven Engineering (MDE) n Model, Meta-model, and model transformation

10 + Power estimation integration in the 10 Gaspard2 framework.

11 + Consumption estimator 11

12 + Cycle-Accurate power estimation 12 n SystemC standalone power estimators n Power FSMs n Monitors the communications between the components

13 + Consumption estimator interface 13 meta-model

14 14 + Consumption estimator FSM metamodel

15 + Cycle-Accurate power estimation 15 n SystemC simulations at the CABA (Cycle-Accurate Bit- Accurate) level

16 + High-level modeling of power 16 estimators n Using Model-driven engineering power estimators are generated automatically

17 + Example of homogenous MPSoC 17

18 + Simulation results 18 n Design space exploration : JPEG application executed on a system with 1 up to 16 processors.

19 + Comparison with annotated power 19 models n Estimation error < 0,3 %

20 + Simulation time 20

21 + Conclusion 21 n Standalone power estimators n Unifying the specification of power models n Generated and plugged automatically using a model driven engineering (MDE) approach. n Accurate for simple HW components n To be extended for more complex architecture n Techniques for simulation speed-up