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QR and LU decompositions are the most important matrix decomposition algorithms. Many studies work on accelerating these algorithms by FPGA or ASIC in a case by case style. In this paper, we propose a unified framework for the matrix decomposition algorithms, combining three QR decomposition algorithms and LU algorithm with pivoting into a unified linear(More)
This paper presents the design and implementation of a high performance sparse matrix-vector multiplication (SpMV) on fieldprogrammable gate array (FPGA). By proposing a new storage format to compress the indexes of non-zero elements by exploiting the substructure of the sparse matrix, our SpMV implementation on a reconfigurable computing platform with a(More)
A novel reconfigurable hybrid single electron transistor/MOSFET (SETMOS) circuit architecture, namely, reconfigurable pseudo-NMOS-like logic is proposed. Based on the hybrid SETMOS inverter/buffer circuit cell, reconfigurable pseudo-NMOS-like logics that can work normally at room temperature are constructed. This kind of reconfigurable logic can implement(More)
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