Axilog: Abstractions for approximate hardware design and reuse
D Mahajan, K Ramkrishnan, R Jariwala… - IEEE Micro, 2015 - ieeexplore.ieee.org
IEEE Micro, 2015•ieeexplore.ieee.org
Relaxing the traditional abstraction of" near-perfect" accuracy in hardware design can yield
significant gains in efficiency, area, and performance. To exploit this opportunity, there is a
need for design abstractions and synthesis tools that can systematically incorporate
approximation in hardware design. We define Axilog, a set of language extensions for
Verilog, that provides the necessary syntax and semantics for approximate hardware design
and reuse. Axilog enables designers to safely relax the accuracy requirements in the design …
significant gains in efficiency, area, and performance. To exploit this opportunity, there is a
need for design abstractions and synthesis tools that can systematically incorporate
approximation in hardware design. We define Axilog, a set of language extensions for
Verilog, that provides the necessary syntax and semantics for approximate hardware design
and reuse. Axilog enables designers to safely relax the accuracy requirements in the design …
Relaxing the traditional abstraction of "near-perfect" accuracy in hardware design can yield significant gains in efficiency, area, and performance. To exploit this opportunity, there is a need for design abstractions and synthesis tools that can systematically incorporate approximation in hardware design. We define Axilog, a set of language extensions for Verilog, that provides the necessary syntax and semantics for approximate hardware design and reuse. Axilog enables designers to safely relax the accuracy requirements in the design, while keeping the critical parts strictly precise. Axilog is coupled with a Safety Inference Analysis that automatically infers the safe-to- approximate gates and connections from the annotations. The analysis provides formal guarantees that the safe-to-approximate parts of the design are in strict accordance to the designer's intentions. We devise two synthesis flows that leverage Axilog's framework for safe approximation; one by relaxing the timing requirements and the other through gate resizing. We evaluate Axilog using a diverse set of benchmarks that gain 1.54× average energy savings and 1.82× average area reduction with 10 percent output quality loss. The results show that the intuitive nature of the language extensions coupled with the automated analysis enables safe approximation of designs even with thousands of lines of code.
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