A Hardware-Software Blueprint for Flexible Deep Learning Specialization

11 Jul 2018Thierry MoreauTianqi ChenLuis VegaJared RoeschEddie YanLianmin ZhengJosh FrommZiheng JiangLuis CezeCarlos GuestrinArvind Krishnamurthy

Specialized Deep Learning (DL) acceleration stacks, designed for a specific set of frameworks, model architectures, operators, and data types, offer the allure of high performance while sacrificing flexibility. Changes in algorithms, models, operators, or numerical systems threaten the viability of specialized hardware accelerators... (read more)

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