HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)(2022)
摘要
Quantization for Convolutional Neural Network (CNN) has shown significant progress with the intention of reducing the cost of computation and storage with low-bitwidth data inputs. There are, however, no systematic studies on how an existing full-bitwidth processing unit, such as CPUs and DSPs, can be better utilized to carry out significantly higher computation throughput for convolution under va...
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关键词
Systematics,Quantization (signal),Design automation,Costs,Convolution,Computational modeling,Throughput
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