Graph partitioning and bisection problems occupy a central position in combinatorial optimisation and theoretical computer science. These issues involve dividing a graph’s vertex set into distinct ...
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New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis
BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...
AI systems are the ultimate amnesiacs. Despite an impressive ability to generate text, code, music, and more, they’re limited by the prompt immediately in front of them. Ask ChatGPT about a recipe it ...
A new technical paper titled “Memory-Centric Computing: Solving Computing’s Memory Problem” was published by researchers at ETH Zurich. “Computing has a huge memory problem. The memory system, ...
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