SBIR/STTR Research Award

SBIR Phase I: Automated Design Environment for Embedded Systems

Award identifier 9a30c42618766a9d2021a64ae81c055693d6a7557c946a83ab5ea4ee3f391eb4Awarding agency National Science Foundation

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2006

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
BINACHIP, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
NSF 05-605
Topic code
EO

Research abstract

This Small Business Innovation Research (SBIR) Phase I project develops an automated compiler to translate software binary and assembly code of a general-purpose DSP processor into Register Transfer Level VHDL and Verilog code for subsequent mapping onto FPGA hardware. Recent advances in embedded communications and control systems for personal and vehicular environments are driving efficient hardware and software implementations of complete systems-on-chip (SOC). As part of this study, novel algorithms will be developed for alias analysis, data flow analysis, automatic identification of loops and other control constructs, and procedure call recovery. Furthermore, techniques for performing hardware/software co-design will be investigated on integrated Systems-on-a-Chip (SOC) platforms consisting of embedded processors, memories, and FPGAs. The concepts developed as part of this research will be demonstrated using a prototype compiler that will translate binary code of off-the-shelf processors into a hardware/software implementation on standard FPGAs. The development of a system level tool for designing DSP will reduce design times from months to days. Such a compiler will allow software developers to reuse millions of lines of software developed in the past for general-purpose DSP processors, and migrate them painlessly to newer SOC platforms. There is a large established code base of DSP algorithms that are optimized for DSP processors. The compiler will take these DSP implementations in assembly and generate implementations in hardware in the form of FPGAs and SOCs automatically. Furthermore, if DSP engineers wish to have an automated path from higher-level languages such as C, C++, and MATLAB to hardware, they can use currently available tools to compile these languages to the assembly level of a general-purpose processor, and then use the proposed compiler to map these assembly codes onto FPGAs and SOCs.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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