Matrix computing based on software, particularly floating point matrix computing, is slow and often becomes a problem in overall embedded systems.
Oct 1, 2015 · The proposed MCC, which is an application-specific instruction set processor for the construction of a high-performance embedded system, can ...
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Matrix computing based on software, particularly floating point matrix computing, is slow and often becomes a problem in overall embedded systems.
A hierarchical and parallel pipelined heterogeneous chip for object recognition is proposed to achieve high flexibility, high performance, ...
Matrix computing based on software, particularly floating point matrix computing, is slow and often becomes a problem in overall embedded systems.
This paper present a matrix coprocessor specialized for computing matrix product. The proposed circuit allows a significant reduction in the computational ...
A matrix coprocessor specialized for computing matrix product is presented and the communication time overhead is minimised and the whole computational time ...
Abstruct- This paper presents a matrix coprocessor specialized for computing matrix product. The proposed circuit allows a.
Oct 5, 2021 · The device can be used in embedded systems, especially for Tiny ML applications. It can accelerate computer vision and image processing ...
In this paper, we propose a novel scalable and power-efficient architecture for matrix algebra in FPGA-based Systems-on-Chip. ... computing system. In the ...