Lecture outline (Fall 2010, 27 lectures)
- (8/27) Discussion: Course introduction and logistics.
- (9/3) Discussion: [CXH or JR] Version control (SVN)
- (9/6) Holiday
- (9/8) [JR away]
- (9/10) Discussion [JR away]
- (9/17) Discussion
- (9/24) Discussion
- (9/29) [MuSyC review]
- (10/1) Discussion
- (10/4) [EAL away]
- (10/6) [EAL away]
- (10/8) Discussion [EAL away]
- (10/13) [SS away]
- (10/15) Discussion [SS away]
- (10/22) Discussion
- (10/25) [ESWeek, EAL away]
- (10/27) [ESWeek, EAL away]
- (10/29) Discussion [ESWeek, EAL away]
- (11/5) Discussion
- (11/8) [SS and JR away, tentatively]
- (11/10) [SS and JR away, tentatively]
- (11/12) Discussion
- (11/19) Discussion
- (11/26) Holiday: Thanksgiving
- (12/3) Discussion: Last day of instruction
- Introduction to computer-aided design methodologies (RTL, TLM, Analog, CPS)
- Examples of problem domains: integrated circuits, biosystems, nanosystems, smart buildings, etc.
- Modeling, problem formulation, abstraction/refinement, nondeterminism, discrete vs. continuous.
- Algorithms for Discrete Models (with their applications)
- Longest/shortest path in a DAG
- Timing analysis for circuits and embedded software (common themes: True (feasible) vs. False (infeasible) paths)
- Hash functions (e.g. in Discrete-event simulations, use of a calendar queue for maintaining an event queue)
- Linear programming and ILP [several applications -- which ones to cover?]
- Observability and controllability (Testing for stuck-at & delay faults, Controller synthesis?)
- Basic Boolean algebra: cube, minterm, Boolean operations, factorization, etc. (Logic synthesis and optimization)
- Boolean function representation & manipulation (BDDs): Equivalence checking, model checking, etc.
- Boolean satisfiability (SAT): Equivalence checking of combinational circuits (aka "implementation verification")
- Reachability analysis & temporal logic: Formal verification: Sequential equivalence checking, model checking
- Scheduling algorithms: dataflow models, managing event queues, parallel scheduling (multicore, high-level circuit synthesis).
- From Algorithms to Software
- Complexity and modularity
- Concurrency and parallelism
- Parallel programming for dynamic programming and graph algorithms.
- Algorithms for Continuous Models
- Solving nonlinear equations (e.g. Newton-Raphson)
- Solving continuous-time dynamics numerically (transient concepts)
- Continuous-time frequency domain concepts and computational algorithms
- Continuous-time stochastics
- Emerging problem spaces: Biosystems, cyber-physical systems, nanotechnology
- Software Engineering (consult Andreas)
- Version control: SVN
- Working with open-source code
- Copyrights and licenses
- Language features: templates, operator overloading
- When to use what language
- Building on Ptolemy II
- Scheduling dataflow graphs for minimum memory usage.
- Scheduling dataflow graphs on parallel processors.
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