Adaptive techniques like voltage and frequency scaling, process variations and the randomness of input data contribute signi cantly to the statistical aspect of contemporary hardwa...
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
In this paper we present HUND, a hypergraph-based unsymmetric nested dissection ordering algorithm for reducing the fill-in incurred during Gaussian elimination. HUND has several i...
Laura Grigori, Erik G. Boman, Simplice Donfack, Ti...
Design debugging is a major bottleneck in modern VLSI design flows as both the design size and the length of the error trace contribute to its inherent complexity. With typical des...
— In this paper we propose joint optimisation of soft-bit assisted iterative joint source and channel decoding with the aid of our proposed EXIT chart optimised redundant source ...