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In the era of diminishing returns from technology scaling, domain-specific acceleration promises enhanced performance and energy efficiency for future computing platforms. However, current research often focuses on individual accelerators for specific algorithms, lacking a systematic approach to generate many accelerators at scale. This paper addresses this gap by exploring accelerator design, integration, and evaluation methodologies. By providing insights into recent breakthroughs and strategies, it equips professionals to drive innovation in domain-specific accelerators.
Yakun Sophia Shao (Sun,) studied this question.