What are bitserial architectures?
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Bit-serial architectures are computational structures that process data one bit at a time, offering advantages in resource efficiency and speed optimization. These architectures can handle neural networks with different weight precisions, leveraging bit sparsity for performance enhancement. Additionally, bit-serial systems can be transformed into digit-serial architectures for faster processing by handling multiple bits per clock cycle. Bit-serial arithmetic has been successfully applied in various applications, such as interpolation filters in video compression systems, where clock frequency matching the sampling rate is sufficient for efficient operation. Furthermore, bit-serial architectures have been utilized in the implementation of algorithms like rank-order median filters, processing window samples in parallel with minimal hardware requirements.
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| Papers (5) | Insight |
|---|---|
| Bit-serial architectures process data sequentially bit by bit. The new rank-order filter architecture in the paper processes all window samples in parallel in a bit-serial manner. | |
| Bit-serial architectures are utilized in multiplierless DCT implementations, replacing multipliers with shifts and adds for lower power consumption and smaller hardware size, as discussed in the paper. | |
Open access•Proceedings Article 01 Sep 2006 | Bit-serial architectures are efficiently utilized in H.264/AVC interframe decoding for interpolation filter implementation, enabling fully pipelined operations with high efficiency at clock frequencies close to image sampling frequency. |
Open access•Journal Article | Bit-serial architectures process one bit per clock cycle, while digit-serial architectures handle multiple bits per cycle, improving speed without excessive hardware, as discussed in the paper. |
31 Jan 2023 | Bit-serial architectures handle NNs with varying weight precisions efficiently, utilizing bit-level sparsity for performance gains by exploiting zero bits in weights, enhancing resource and energy efficiency. |
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