1. http://chess.eecs.berkeley.edu/ February 21, 2008 Center for Hybrid and Embedded Software Systems Organization Board of Directors Edward A. Lee, UC Berkeley EECS Thomas Henzinger, UC Berkeley EECS Alberto Sangiovanni-Vincentelli, UC Berkeley EECS Shankar Sastry, UC Berkeley EECS Claire J. Tomlin, UC Berkeley EECS Other key faculty Dave Auslander, UC Berkeley ME Ahmad Bahai, UC Berkeley EECS Ruzena Bajcsy, UC Berkeley EECS Ras Bodik, UC Berkeley EECS Karl Hedrick, UC Berkeley ME Kurt Keutzer, UC Berkeley EECS George Necula, UC Berkeley EECS Koushik Sen, UC Berkeley EECS Sanjit Seshia, UC Berkeley EECS Masayoshi Tomizuka, UC Berkeley EECS Pravin Varaiya, UC Berkeley EECS Staff Christopher Brooks, UC Berkeley Tracey Richards, UC Berkeley Mary Stewart, UC Berkeley Affiliated faculty Janos Sztipanovits, Vanderbilt, ECE Gautam Biswas, Vanderbilt, Computer Science Bela Bollobas, University of Memphis, Mathematics Gabor Karsai, Vanderbilt, ECE Jonathan Sprinkle, University of Arizona, ECE Cyber-Physical Systems "A cyber-physical system (CPS) integrates computing and communication capabilities with monitoring and / or control of entities in the physical world dependably, safely, securely, efficiently and in real-time." - S. Shankar Sastry Mission The goal of the center is to provide an environment for graduate research in cyber-physical systems (CPS) by developing model-based and tool- supported design methodologies for real-time, fault tolerant software on heterogeneous distributed platforms that interact with the physical world. CHESS provides industry with innovative software methods, design methodology and tools while helping industry solve real-world problems. CHESS is defining new areas of curricula in engineering and computer science which will result in solving societal issues surrounding aerospace, automotive, consumer electronics and medical devices. Research Cyber-Physical Systems Hybrid systems theory and practice Programming models for embedded control systems Semantics of modeling languages and methods Applications in automotive, avionics, sensor networks, and biology Embedded virtual machines for portable, mobile real-time code Experimental software platforms (Ptolemy, Metropolis, Giotto, etc.) Design transformation technology (component specialization, code generation) Verification of temporal and safety properties of software Visual syntaxes for system design Software engineering today is based on principles that abstract away key semantic properties embedded systems, such as time. The result is ad-hoc architectures and brittle systems. Embedded software architecture tomorrow will be built on sound principles that reflect the interaction of the software with the physical world. Chess Software Examples of Chess software include: HyVisual, a block-diagram editor and simulator for continuous-time and hybrid systems (shown at the left) Metropolis, a design environment for heterogeneous systems MetroII, enhancements to Metropolis: heterogeneous IP import, orthogonalization of performance from behavior, and design space exploration CHIC, a modular verifier for behavioral compatibility of software and hardware component interfaces. Ptolemy II, a software laboratory for concurrent models of computation. VisualSense, a visual editor and simulator for wireless sensor network systems. Viptos, a block-diagram editor and simulator for TinyOS Systems. Hybrid system model of Newton’s Cradle, built using HyVisual. The Problem: intensive use of embedded software in complex physical systems, such as cars. The research laboratory: software frameworks and test systems such as the Toyota test cell for engine control technology. Platform Design-Space Export Platform Mapping Architectural Space Application Space Application Instance Platform Instance System Platform (HW and SW) The research laboratory: software frameworks and test systems such as the Berkeley Aerobot Team (BEAR) helicopters. The Problem: intensive use of embedded software in complex physical systems, such as aircraft.