Matlab to C compilation targeting Application Specific Instruction Set Processors

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 ins...

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Bibliographic Details
Main Authors: Latifis, Ioannis, Parashar, Karthick, Dimitroulakos, Grigoris, Cappelle, Hans, Lezos, Christakis, Masselos, Konstantinos, Catthoor, Francky
Format: Conference Proceeding
Language:English
Subjects:
Application Specific Instruction Set Processor (ASIP)
Automation
compilation
Compilers
Design engineering
Digital signal processing
Electronics
Embedded systems
Hardware
Markets
Mathematical model
MATLAB
Processors
Program processors
Signal processing algorithms
System-on-Chip (SoC)
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Summary: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.
ISSN:1558-1101