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A Multi-Core Reconfigurable Architecture for Ultra-Low Power Bio-Signal Analysis

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Various forms of real-world data, such as social, financial, and biological networks, can be represented using graphs. An efficient method of analysing this type of data is to extract subgraph patterns, such as cliques, cycles, and motifs, from graphs. For ...

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Energy-Efficient Electronic Functions Based on the Co-integration of 2D and Ferroelectric Materials

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The digital revolution has significantly transformed our world over the past decades, driven by the scaling of transistor dimensions and the exponential increase in computation power. However, as the CMOS scaling era approaches its end, the semiconductor i ...

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HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

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Accessing input data is a critical operation in data analytics: i) slow data access significantly degrades performance, and ii) storing everything in the fastest medium, i.e., memory, incurs high operational and hardware costs. Further, while GPUs offer in ...

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