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Source code analysis and manipulation tools have become an essential part of software development processes. Automating the development of such tools can heavily reduce development time, effort and cost. This paper proposes a framework for the efficient development of code analysis software. A tool for automatically generating the front end of analysis tools for a given language grammar is proposed. The proposed approach can be applied to any language that can be described using the BNF notation. The proposed framework also provides a domain specific language to concisely express queries on the internal representation generated by the front end. This language tackles the problem of writing complex code in a general purpose programming language in order to retrieve information from the internal representation. The approach has been evaluated through two different realistic usage scenarios applied to a number of different benchmark applications. The front end generator has also been tested for twenty input grammars. In all cases the software generated by the proposed framework functions according to the input grammar while the development time has been reduced on average down to 12% compared to equivalent handwritten implementations. The experimental results give evidence that the use of the proposed framework can heavily reduce the relevant design effort and cost.

© 2016 EDAA. This paper discusses a MATLAB to C compiler exploiting custom instructions such as instructions for SIMD processing and instructions for complex arithmetic present in Application Specific Instruction Set Processors (ASIPs). The compiler generates ANSI C code in which the processor's special instructions are represented via specialized intrinsic functions. By doing this the generated code can be used as input to any C/C++ compiler. Thus the proposed compiler allows the description of the specialized instruction set of the target processor in a parameterized way allowing the support of any processor. The proposed compiler has been used for the generation of application code for an ASIP targeting DSP applications. The code generated by the proposed compiler achieves a speed up between 2x-30x on the targeted ASIP for six DSP benchmarks compared to the code generated by Mathworks MATLAB to C compiler. Thus the proposed compiler can be employed to reduce the development time/effort/cost and time to market by raising the abstraction of application design in an embedded systems / system-on-chip development context while still improving implementation efficiency. ispartof: pages:1453-1456 ispartof: PROCEEDINGS OF THE 2016 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE) vol:22 issue:2 pages:1453-1456 ispartof: Design, Automation and Test in Europe Conference and Exhibition (DATE) location:GERMANY, Dresden date:14 Mar - 18 Mar 2016 status: published