Outline. SLD challenges Platform Based Design (PBD) Leveraging state of the art CAD Metropolis. Case study: Wireless Sensor Network
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1 By Alberto Puggelli
2 Outline SLD challenges Platform Based Design (PBD) Case study: Wireless Sensor Network Leveraging state of the art CAD Metropolis Case study: JPEG Encoder
3 SLD Challenge Establish a further layer of abstraction Behavioral layer (mathematical background) Expand the market towards different domains Heterogeneity: Mechanical, Health Care, Chemical New design methodology Orthogonalization of concerns Formal design process Plug and play among different design methods Synthesis
4 Behavioral Layer Functionality and time to market Explore the design space Partitioning Cost yield, power consumption, etc. Formal Verification Certification Reusability Smoothness among players Mobile Automotive (possible shift of added value instability) OEM, Tier1, Tier2
5 New Markets Increase of benefits might drive the methodology shift (EDA companies) Embedded system are the added value (OEMs)
6 Why a new design methodology? SW & HW kept separately SW Millions of customized lines of codes Verification is extremely difficult Certification of the process, not of the functionality! HW Various design methodology Various semantics Extremely slow and costly process with no chance of reusability
7 Pla?orm based design: PBD Orthogonalize functionality and platform Intersection through mapping Meet in the middle approach Top down: from denotational to further refinements while propagating constraints Bottom up: from library components to abstract models, while propagating performance metrics. Each Middle point is the starting point for further refinements. Need for choosing the correct set of layers Need to synchronize the semantic between the two representations
8 Pla?orm Library of components Computational Communication Each component has performance metrics + supported functionality Possibility of having place holders Platform instance: specific selection of components in a library to get a given functionality (set the parameters of components)
9 Wireless Sensor Network Functional Model: SNSP Formally describes the interaction between controllers, actuators and sensors. Protocol Platform: SNAPP Sensor Platform: SNIP Step 1: check for functional support + derivation of constraints Step 2: select sensors and a protocol that are able to implement the functional description
10 Related strategies Model Driven Development (MDD) Orthogonalization of concerns Mapping functionalities Domain Specific Languages (DSL) Use of a metamodels MILAN framework Orthogonalize computation and communication Already implemented in HW and SW Need for a common semantic and a mathematical description of the interactions for embedded systems.
11 Wrap up PBD represents a set of contracts among different players along the supply chain Supplier defines performance metrics to be used by the client The client may ask the supplier for specific performance metrics More degrees of freedom design space exploration Open issue: finding the right layers
12 Leveraging state of the art CAD Functional HW SystemC different semantics to account for hardware concurrency and execution time. It allows verification but it has to be manipulate to be synthesized HDL abstraction of RTL synthesis is possible Embedded SW Need for concurrency, multiprocessing, multithreading Verification by construction synchronous languages Computation and communication don t overlap ( critical path is defined)
13 Leveraging state of the art CAD (2) Models of Computation (MoC) Need for orthogonalization from architecture Trade expressivity with ease of synthesis (DE, FSM) Need for mixing different MoC (heterogeneous systems) Interface automata: shift the problem to interface and see whether 2 interfaces can communicate Behavioral description: formal sets of behaviors for each subsystems that can be intersected to get the system description. Ptolemy II: more MoC are supported Each subsystem is a thread that can communicate with other systems by sending messages.
14 Leveraging state of the art CAD (3) Architecture Netlist of connections among components Capabilities of each component Cost: performance metrics of each component and communication medium SW UML, ADL, ECLIPSE
15 Leveraging state of the art CAD Architecture (2) HW TLM Simulation Engine (SystemC): need for a library of models and of interconnect, each with cost metrics Communication based design: NoC to verify whether the behavior of two components is preserved when connected together assume guarantee approach
16 Leveraging state of the art CAD Mapping Scheduling Giotto: enforce common semantic language Automatic Optimization Common mathematical description between functionality and platform (boolean algebra) Look for primitives (NAND2) Covering problem
17 Metropolis Support different MoC Metamodel (MMM) Support different layers of abstraction PBD Functional model Library Evaluation of the cost of a mapped design Functionality + Constraint driven mapping
18 Metropolis Meta Model (MMM) Support different MoC more language for different applications Functionality description Processes, communication media, netlists (refinement) Constraint specification Set of executions, each consisting of events (call for services) Architectural model Scheduled Netlist: computational and communication components Scheduling Netlist: performance metrics (quantity managers)
19 MMM (cont.) Mapping Synchronize components to coordinate their interfaces The system does what is modeled in the functional model according to the constraints given by the architectural model. Costraints Define quantities that are not explicit in the MoC semantic (e.g. time) Propagation Specify constraints or check for validity in a specific implementation (LOC)
20 Tools Parser Check the MMM and creates an abstract syntax tree Simulator Enforce LTL and LOC (prevent or check illegal behaviors) Refinement verification tool Check whether model B is a refinement of model A
21 Methodology Design flow Specify behaviors Execute abstractions by using constraints Use best synthesis algorithm for a given domain Common semantic background Plug in different subsystems Incorporate external tools
22 JPEG Encoder Map the encoding algorithm on Intel MXP5800 architecture Step 1: Behavioral Model of the algorithm with a specific semantic Describe the architecture in terms of processes, media and quantity managers running time is the main concern global time manager
23 JPEG Encoder (cont.) Step 2: Mapping Synchronization constraints among read, write and execution + memory allocation and register location Execution order between different tasks
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