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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Li Shen

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Open access Sep 2026

DCSR-GCN: A High-Performance GCN Accelerator Based on Dynamic Compression and Sparsity Reordering

Graph Convolutional Networks (GCNs) are widely used in tasks involving irregular graph data, such as recommendation. The hybrid execution pattern of sparse aggregation and dense combination during inference limits the efficiency of general processors like CPU and GPU. Therefore, designing dedicated accelerators for GCN...

Jun-Sheng Chang, Yi-Min Zhao, Yu-Xin Huang et al. · 0 citations
#graph neural networks Open access Sep 2026

PipeGNN: A Bandwidth-Efficient GNN Accelerator with Node-Level Pipelined Push Execution

Graph Neural Networks (GNNs) have become a fundamental tool for learning over graph-structured data. Under the message-passing framework, mainstream GNN models alternate between feature transformation and neighborhood aggregation. Fusing these two phases into a node-level pipelined push dataflow, in which each node’s t...

Shi Chen, Jun-Sheng Chang, Yang Guo et al. · 0 citations

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