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Open-source Hardware: Opportunities and Challenges
Innovation in hardware is slowing due to rising costs of chip design and diminishing benefits from Moore's law and Dennard scaling.
Hardware Architecture Computers and Society
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Machine learning (ML) models are widely used in many important domains.
UNIT: Unifying Tensorized Instruction Compilation
However, it is hard to leverage mixed precision without hardware support because of the overhead of data casting.
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