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Concept
C to HDL
Résumé
C to HDL tools convert C language or C-like computer code into a hardware description language (HDL) such as VHDL or Verilog. The converted code can then be synthesized and translated into a hardware device such as a field-programmable gate array. Compared to software, equivalent designs in hardware consume less power (yielding higher performance per watt) and execute faster with lower latency, more parallelism and higher throughput. However, system design and functional verification in a hardware description language can be tedious and time-consuming, so systems engineers often write critical modules in HDL and other modules in a high-level language and synthesize these into HDL through C to HDL or high-level synthesis tools.
C to () is another name for this methodology. RTL refers to the register transfer level representation of a program necessary to implement it in logic.
Early development on C to HDL was done by Ian Page, Charles Sweeney and colleagues at Oxford University in the 1990s who developed the Handel-C language. They commercialized their research by forming Embedded Solutions Limited (ESL) in 1999 which was renamed Celoxica in September 2000. In 2008, the embedded systems departments of Celoxica was sold to Catalytic for $3 million and which later merged to become Agility Computing. In January 2009, Mentor Graphics acquired Agility's C synthesis assets. Celoxica continues to trade concentrating on hardware acceleration in the financial and other industries.
C to HDL techniques are most commonly applied to applications that have unacceptably high execution times on existing general-purpose supercomputer architectures. Examples include bioinformatics, computational fluid dynamics (CFD), financial processing, and oil and gas survey data analysis. Embedded applications requiring high performance or real-time data processing are also an area of use. System-on-chip (SoC) design may also take advantage of C to HDL techniques.
C-to-VHDL compilers are very useful for large designs or for implementing code that might change in the future.
Source officielle
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