Efficient artificial intelligence (AI) hardware is crucial for resource-constrained applications such as healthcare and transportation, where it enhances performance, reduces costs, and supports ...

Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...

CNN has been widely used in many image-related machine learning algorithms due to its high accuracy for image recognition. Convolution and fully-connected layers are two essential components for CNN.

Abstract: Band matrix multiplication is widely used in DSP systems. However, for band matrix multiplication, the traditional Kung-Leiserson systolic array cannot be realized with high cell-efficiency.

This paper concerns the more foundational tasks of distributed dense linear algebra. While a single TPU core can already store and operate on large matrices (e.g., of size 16,384, 32,768 in single ...