6th Biennial Ptolemy Miniconference Berkeley, CA May 12, 2005 Ptolemy Project Status and Overview Edward A. Lee Ptolemy Project Director, UC Berkeley.

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Presentation transcript:

6th Biennial Ptolemy Miniconference Berkeley, CA May 12, 2005 Ptolemy Project Status and Overview Edward A. Lee Ptolemy Project Director, UC Berkeley

Lee, Berkeley 2 Software Legacy of the Project Gabriel ( ) Written in Lisp Aimed at signal processing Synchronous dataflow (SDF) block diagrams Parallel schedulers Code generators for DSPs Hardware/software co-simulators Ptolemy Classic ( ) Written in C++ Abstract Actor Semantics Multiple models of computation Hierarchical heterogeneity Dataflow variants: BDF, DDF, PN C/VHDL/DSP code generators Optimizing SDF schedulers Higher-order components Ptolemy II ( ) Written in Java Behavioral polymorphism Multithreaded Network integrated and distributed Modal models Sophisticated type system CT, HDF, CI, GR, etc. Each of these served us, first-and-foremost, as a laboratory for investigating design. Focus has always been on embedded software.

Lee, Berkeley 3 And Most Recently… Kepler (2003-?) Scientific workflows Web services harvester Computational grid integration Semantic types Browser interface Database integration “R” integration Sensor data streaming XML and XSLT integration …

Lee, Berkeley 4 Where it started: SDF: Synchronous Dataflow and the Balance Equations ( ) Actor 1 Connector 1 balance equations firing vector production/consumption matrix

Lee, Berkeley 5 Gabriel and Ptolemy Classic Leveraged SDF to Generate Parallel Code SDF model, parallel schedule, and synthesized DSP assembly code (1990) It is an interesting (and rich) research problem to minimize interlocks in complex multirate applications.

Lee, Berkeley 6 Many Scheduling and Optimization Problems (and Some Solutions) Resulted Optimization criteria that might be applied: Minimize buffer sizes. Minimize the number of actor activations. Minimize the size of the representation of the schedule (code size). See S. S. Bhattacharyya, P. K. Murthy, and E. A. Lee, Software Synthesis from Dataflow Graphs, Kluwer Academic Press, 1996, for a summary of the single processor optimization problems.

Lee, Berkeley 7 Gabriel and Ptolemy Classic Provided Cosimulation of Hardware and Generated Software An SDF model, a “Thor” model of a 2- DSP architecture, a “logic analyzer” trace of the execution of the architecture, and two DSP code debugger windows, one for each processor (1990).

Lee, Berkeley 8 Example: Application to ADPCM Speech Coding Model of a speech coder generated to DSP assembly code and executed using aa DSP debugger interface with host/DSP interaction (1993).

Lee, Berkeley 9 Example: Heterogeneous Architecture with DSP and Sun Sparc Workstation (1995) DSP card in a Sun Sparc Workstation runs a portion of a Ptolemy model; the other portion runs on the Sun.

Lee, Berkeley 10 Ptolemy Classic Example Showing Higher-Order Components (adaptive nulling in an antenna array, 1995) Ptolemy application developed by Uwe Trautwein, Technical University of Ilmenau, Germany streams hierarchical components higher-order components

Lee, Berkeley 11 Higher-Order Components Realizing Recursion in Ptolemy Classic FFT implementation in Ptolemy Classic (1995) used a partial evaluation strategy on higher-order components. recursive reference

Lee, Berkeley 12 Higher-Order Components in Ptolemy II The dynamic dataflow (DDF) domain (new to Ptolemy II in v. 5.0) implements recursion in a similar way [due to Gang Zhou].

Lee, Berkeley 13 Higher-Order Expression Language in Ptolemy II Higher-order components (actor-oriented) coupled with a higher-order expressions (functional) are a potentially powerful combination. Neuendorffer and Zhao

Lee, Berkeley 14 What is the Ptolemy Project Really About?

Lee, Berkeley 15 The Ptolemy Project is About Actor-Oriented Design Actor orientation: actor name data (state) ports Input data parameters Output data What flows through an object is streams of data class name data methods call return What flows through an object is sequential control Object orientation:

Lee, Berkeley 16 Actor-Oriented vs. Object-Oriented The figure at the left shows the use of object-oriented web services for a “microarray data- analysis scenario for identifying targets in drug discovery.” The authors explain, “the numbered lines are the steps in the analysis path.” From Gao & Hayes, “Integrating Biological Research through Web Services,” Computer, March, 2005.

Lee, Berkeley 17 The First (?) Actor-Oriented Platform The On-Line Graphical Specification of Computer Procedures W. R. Sutherland, Ph.D. Thesis, MIT, 1966 MIT Lincoln Labs TX-2 Computer Bert Sutherland with a light pen Partially constructed actor-oriented model with a class definition (top) and instance (below). Bert Sutherland used the first acknowledged object- oriented framework (Sketchpad, created by his brother, Ivan Sutherland) to create the first actor-oriented programming framework.

Lee, Berkeley 18 Your Speaker in 1966

Lee, Berkeley 19 Modern Examples of Actor-Oriented Platforms Simulink (The MathWorks) LabVIEW (National Instruments) Modelica (Linkoping) OPNET (Opnet Technologies) Giotto and xGiotto (UC Berkeley) Polis & Metropolis (UC Berkeley) Gabriel, Ptolemy, and Ptolemy II (UC Berkeley) OCP, open control platform (Boeing) GME, actor-oriented meta-modeling (Vanderbilt) SPW, signal processing worksystem (Cadence) System studio (Synopsys) ROOM, real-time object-oriented modeling (Rational) Easy5 (Boeing) Port-based objects (U of Maryland) I/O automata (MIT) VHDL, Verilog, SystemC (Various) …

Lee, Berkeley 20 Ptolemy II: Our Laboratory for Actor-Oriented Models of Computation Director from an extensible library defines component interaction semantics Extensile, behaviorally- polymorphic component library. Visual editor supporting an abstract syntax Type system for transported data Concurrency management supporting dynamic model structure.

Lee, Berkeley 21 Models of Computation Implemented in Ptolemy II CI – Push/pull component interaction Click – Push/pull with method invocation CSP – concurrent threads with rendezvous CT – continuous-time modeling DDF – Dynamic dataflow DE – discrete-event systems DDE – distributed discrete events DPN – distributed process networks FSM – finite state machines DT – discrete time (cycle driven) Giotto – synchronous periodic GR – 2-D and 3-D graphics PN – process networks SDF – synchronous dataflow SR – synchronous/reactive TM – timed multitasking Most of these are actor oriented.

Lee, Berkeley 22 Ptolemy II Extension Points Define actors Interface to foreign tools (e.g. Python, MATLAB) Interface to verification tools (e.g. Chic) Define actor definition languages Define directors (and models of computation) Define visual editors Define textual syntaxes and editors Packaged, branded configurations “Domains” are extensions built on the core infrastructure.

Lee, Berkeley 23 What have we done recently?

Lee, Berkeley 24 Modeling and Design of Wireless Networked Systems VisualSense: Modeling of wireless sensor networks as an extension of DE. [Baldwin, Kohli, Liu, Zhao] VIPTOS: Design of software for wireless sensor network motes in TinyOS/nesC. [Cheong, coming soon]

Lee, Berkeley 25 Actor-Oriented Type Systems Classes, Subclasses, and Inheritance instance subclass inherited actors override actors local class definition execution This type system builds on abstract syntax (not semantics) so it applies very broadly to actor-oriented models, including hybrid systems. Lee, Liu, Neuendorffer

Lee, Berkeley 26 Semantics Clean, clear, and rigorous semantics for discrete-event, continuous-time, and hybrid systems [Cataldo, Liu, Matsikoudis, Zheng]

Lee, Berkeley 27 Stochastic Hybrid Systems Stochastic hybrid systems in Ptolemy II are Monte- Carlo models of nondeterminism Example of random “spontaneous transitions” by Lee and Zheng, based on suggestion by John Lygeros.

Lee, Berkeley 28 Other Key Results Reconfiguration analysis [Neuendorffer] Generalized dependency analysis [Neuendorffer, Zheng] The Cal actor language [Eker and Janneck] Java code generation [Neuendorffer] Modal model semantics [Liu, Zhou (Rachel)] Mixed procedural and event semantics [Cheong] Unbounded time, controlled precision [Zheng] Nondeterministic merge in PN [Lee, Xiaowen Xin (LLNL)] Giotto + Ptolemy II package [Brooks] Communications library [Zhou (Rachel)] Image and video library [Yeh] Scratchpad memory management from SDF [Kohli]

Lee, Berkeley 29 Acknowledgements Recent PhD graduates Steve Neuendorffer (Xilinx) Yuhong Xiong (HP Labs) Recent Postdocs Jörn Janneck (Xilinx) Recent masters graduates Vinay Krishnan Sanjeev Kohli James Yeh Current sponsors Agilent Hewlett-Packard Escher Institute National Science Foundation Toyota Current students Adam Cataldo Elaine Cheong Thomas Huining Feng Xiaojun Liu Eleftherios Matsikoudis Yang Zhao Haiyang Zheng Gang Zhou Rachel Zhou Staff Christopher Brooks Mary Margaret Sprinkle Mary Stewart