Compiling SyncCharts to Synchronous C

SyncCharts are a synchronous Statechart variant to model reactive systems with a precise and deterministic semantics. The simulation and software synthesis for SyncCharts usually involve the compilation into Esterel, which is then further compiled into C code. This can produce efficient code, but has two principal drawbacks: 1) the arbitrary control flow that can be expressed with SyncChart transitions cannot be mapped directly to Esterel, and 2) it is very difficult to map the resulting C code back to the original SyncChart. This paper presents an alternative software synthesis approach for SyncCharts that compiles SyncCharts directly into Synchronous C (SC). The compilation preserves the structure of the original SyncChart, which is advantageous for validation and possibly certification. The compilation assigns thread priorities according to the data dependencies. It optimizes both the number of used threads as well as the maximal used priorities, which corresponds to fast SC code with little memory requirements

Removing Cycles in Esterel Programs

Programs written in the synchronous programming language Esterel may contain statically cyclic dependencies of signals, which inhibits the application of certain compilation approaches that rely on static scheduling. This talk proposes an algorithm which, given a constructive synchronous program, performs a semantics-preserving source-level code transformation that removes cyclic signal dependencies. The transformation exploits the monotonicity of constructive programs, and is illustrated in the context of Esterel, but should be applicable to other synchronous languages as well

Code Generation in the Columbia Esterel Compiler

The synchronous language Esterel provides deterministic concurrency by adopting a semantics in which threads march in step with a global clock and communicate in a very disciplined way. Its expressive power comes at a cost, however: it is a difficult language to compile into machine code for standard von Neumann processors. The open-source Columbia Esterel Compiler is a research vehicle for experimenting with new code generation techniques for the language. Providing a front-end and a fairly generic concurrent intermediate representation, a variety of back-ends have been developed. We present three of the most mature ones, which are based on program dependence graphs, dynamic lists, and a virtual machine. After describing the very different algorithms used in each of these techniques, we present experimental results that compares twenty-four benchmarks generated by eight different compilation techniques running on seven different processors

Code Generation in the Columbia Esterel Compiler

The synchronous language Esterel provides deterministic concurrency by adopting a semantics in which threads march in step with a global clock and communicate in a very disciplined way. Its expressive power comes at a cost, however: it is a difficult language to compile into machine code for standard von Neumann processors. The open-source Columbia Esterel Compiler is a research vehicle for experimenting with new code generation techniques for the language. Providing a front-end and a fairly generic concurrent intermediate representation, a variety of back-ends have been developed. We present three of the most mature ones, which are based on program dependence graphs, dynamic lists, and a virtual machine. After describing the very different algorithms used in each of these techniques, we present experimental results that compares twenty-four benchmarks generated by eight different compilation techniques running on seven different processors

Improved Controller Synthesis from Esterel

We present a new procedure for automatically synthesizing controllers from high-level Esterel specifications. Unlike existing \textsc{rtl} synthesis approaches, this approach frees the designer from tedious bit-level state encoding and certain types of inter-machine communication. Experimental results suggest that even with a fairly primitive state assignment heuristic, our compiler consistently produces smaller, slightly faster circuits that the existing Esterel compiler. We mainly attribute this to a different style of distributing state bits throughout the circuit. Initial results are encouraging, but some hand-optimized encodings suggest room for a better state assignment algorithm. We are confident that such improvements will make our technique even more practical

Efficient Compilation of Cyclic Synchronous Programs

Synchronous programs may contain cyclic signal interdependencies. This prohibits a static scheduling, which limits the choice of available compilation techniques for such programs. This paper proposes an algorithm which, given a constructive synchronous program, performs a semantics-preserving source-level code transformation that removes cyclic signal dependencies, and also exposes opportunities for further optimization. The transformation exploits the monotonicity of constructive programs, and is illustrated in the context of Esterel; however, it should be applicable to other synchronous languages as well. Experimental results indicate the efficacy of this approach, resulting in reduced run times and/or smaller code sizes, and potentially reduced compilation times as well. Furthermore, experiments with generating hardware indicate that here as well the synthesis results can be improved

Executing Safe State Machines on a Reactive Processor

Safe State Machines (SSMs) are a Statechart dialect with precise synchronous semantics, used to describe the behavior of reactive systems. A natural target for executing SSMs are reactive processors, which have an instruction set architecture (ISA) particularly well-suited for reactive control flow. When synthesizing SSMs into code, this is traditionally done via the synchronous language Esterel. However, this is not always straightforward; transitions in SSMs can jump arbitrarily between states, and there is no Esterel statement that matches this. We here propose to circumvent this by synthesizing SSMs directly onto a reactive ISA that can encode transitions directly as GOTOs. This not only has the potential for smaller and faster code, but preserves the structure of the SSM much better that going via Esterel. Conversely, we note that SSMs appear easier to implement on a reactive processor than Esterel, notably because there is not exception handling required

Compiling Esterel into Static Discrete-Event Code

Executing concurrent specifications on sequential hardware is important for both simulation of systems that are eventually implemented on concurrent hardware and for those most conveniently described as a set of concurrent processes. As with most forms of simulation, this is easy to do correctly but difficult to do efficiently. Solutions such as preemptive operating systems and discrete-event simulators present significant overhead. In this paper, we present a technique for compiling the concurrent language Esterel into very efficient C code. Our technique minimizes runtime overhead by making most scheduling decisions at compile time and using a very simple linked-list-based event queue at runtime. While these techniques work particularly well for Esterel with its high-level concurrent semantics, the same technique could also be applied to efficiently execute other concurrent specifications

Interactive Model-Based Compilation: A Modeller-Driven Development Approach

There is a growing tendency for using domain-specific languages, which help domain experts to stay focussed on abstract problem solutions. It is important to carefully design these languages and tools, which fundamentally perform model-to-model transformations. The quality of both usually decides the effectiveness of the subsequent development and therefore the quality of the final applications. However, as the complexity and safety requirements of modern systems grow, it becomes increasingly burdensome to create highly customized languages and difficult to provide reasonable overviews within these tools. This thesis introduces a new interactive model-based compilation methodology. Compilations for arbitrary model-to-model transformations are themselves described as models. They can be instantiated for particular inputs, e. g. a program, to create concrete compilation runs, which return the result of that compilation. The compilation instance is interactively observable. Intermediate results serve as new inputs and as documentation. They can be used to create highly customized views and facilitate understandability. This methodology guides modellers from the start of the compilation to the final result so that they can interactively refine their models. The methodology has been implemented and validated as the KIELER Compiler (KiCo) and is available as part of the KIELER open-source project. It is used to implement the current reference compiler for the SCCharts language, a statecharts dialect designed for specifying safety-critical reactive systems based on a synchronous model of computation. The interactive model-based compilation approach was key to the rapid prototyping of three different compilation strategies, as well as new language extensions, variations and closely related languages. The results are verified with benchmarks, which are again modelled using the same approach and technology. The usability of the SCCharts language and the KiCo tooling is documented with long-term surveys and real-life industrial, academic and teaching examples

Efficient Code Generation from SHIM Models

Programming concurrent systems is substantially more difficult than programming sequential systems, yet most embedded systems need concurrency. We believe this should be addressed through higher-level models of concurrency that eliminate many of the usual challenges, such as nondeterminism arising from races. The shim model of computation provides deterministic concurrency, and there already exist ways of implementing it in hardware and software. In this work, we describe how to produce more efficient C code from shim systems. We propose two techniques: a largely mechanical one that produces tail-recursive code for simulating concurrency, and a more clever one that statically analyzes the communication pattern of multiple processes to produce code with far less overhead. Experimentally, we find our tail-recursive technique produces code that runs roughly twice as fast as a baseline; our statically-scheduled code can run up to twelve times faster