Highlights · An acceleration strategy is proposed to speed up the process of crosswise computing multiple reducts. · Our approach can not only reduce the time ...
Our acceleration strategy is designed through considering that the computation of reducts over differ- ent subsets of data may be guided by the reduct over the ...
Accelerator for crosswise computing reduct. Authors: Zehua Jiang, Keyu Liu ... Accelerator; Attribute reduction; Cross computation; Rough set. Accelerator for ...
In this paper we propose a combination of capabilities of the Field Programmable Gate Arrays based device and PC computer for data processing resulting in ...
Accelerator for crosswise computing reduct. record by Yuhua Qian • Accelerator for crosswise computing reduct. Zehua Jiang, Keyu Liu, Jingjing Song, Xibei ...
The computation of reduct is realized through partitioning the whole data into several groups, and crosswise selecting some groups to form different subsets of ...
In this work, we propose an area and power efficient RRAM crossbar-based accelerator for deep CNNs. It improves the area efficiency by reducing the area costs ...
Oct 23, 2024 · To address this issue we introduce ARAS, a cost-effective ReRAM-based accelerator that employs a smart scheduler to adapt different DNNs to the ...
In this article, a bi-directional fuzzy granular-cabin parallel attribute reduction accelerator with granular-group collaboration is proposed. First, the in- ...
Using a few extra modular adder and multipliers, we can compute these cheap coefficient-wise operations in parallel to NTTs.
Missing: crosswise | Show results with:crosswise