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首页> 外文期刊>Journal of Low Power Electronics >Best is the Enemy of Good: Design Techniques for Low Power Tunable Approximate Application Specific Integrated Chips Targeting Media-Based Applications
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Best is the Enemy of Good: Design Techniques for Low Power Tunable Approximate Application Specific Integrated Chips Targeting Media-Based Applications

机译：最好的是善良的敌人：针对基于媒体的应用的低功耗可调谐近似专用集成芯片的设计技术

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摘要

With the possible end of the Moore's Law at the horizon, Approximate Computing has gathered momentum over the past years as a possible alternative for low power designs. Approximate computing trades better energy performance for tolerable inaccuracies at the output of the design. In this paper, we propose an application independent automated flow that converts a given design into an approximate version using either voltage scaling or power gating based techniques. The proposed model is shown to be effective for designing low power media type IPs (Intellectual Properties) based ASICs (Application Specific Integrated Chips). The model encompasses various automated techniques to identify logic within a given design which in turn can be leveraged for approximation. Following this identification the model uses a series of physical optimizations which lead to a tunable approximate circuit capable of operating in both approximate and accurate modes of operations depending on the environment and user constraints. The flow has been demonstrate to provide up to 35% power reduction in ASICs (operating in approximate mode) that implement imaging applications such as video decoding and image restoration IPs.
机译：随着摩尔定律可能即将终结，“近似计算”在过去几年中积聚了动力，可以作为低功耗设计的替代方案。近似计算在设计的输出端可以容忍的误差下，具有更好的能源性能。在本文中，我们提出了一种独立于应用程序的自动化流程，该流程使用电压缩放或基于功率门控的技术将给定的设计转换为近似版本。所提出的模型被证明对于设计基于低功耗媒体类型IP（知识产权）的ASIC（专用集成芯片）是有效的。该模型包含各种自动技术，用于识别给定设计中的逻辑，而逻辑又可以用于近似。在识别之后，模型使用了一系列物理优化，从而导致可调谐的近似电路能够根据环境和用户约束条件以近似和精确的操作模式进行操作。该流程已被证明可以在实现成像应用（例如视频解码和图像恢复IP）的ASIC（以近似模式工作）中降低多达35％的功耗。

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