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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

Menghan Jia

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Book Open access Sep 2026

TileGEMM: Boosting the Performance of GEMM on AMX-Powered CPUs by Exploiting Data Reuse

TileGEMM is proposed, a high-performance GEMM implementation on AMX that systematically enhances data reuse across the memory hierarchy, and achieves average speedups of 3.27 × and 1.96 × over AVX-512-based implementations TVM and MKL, respectively.

Kang-Kang Chen, Hua-You Su, Meng-Han Jia et al. · 0 citations
#graph neural networks Book Open access Sep 2026

PruneInfer: Exact Full-Neighborhood GNN Inference of Large Datasets on a Single GPU via Full Topology Pruning

Graph neural network (GNN) inference in deployment often requires deterministic and exact predictions, which in turn require each inference run to aggregate complete dependency information from the full graph topology. However, over large graphs, full-graph forward propagation is usually infeasible on GPU due to limite...

Li-Yang Wu, Meng-Han Jia, Chun-Ye Gong et al. · 0 citations
#large language models Book Open access Sep 2026

TileGEMM: Boosting the Performance of GEMM on AMX-Powered CPUs by Exploiting Data Reuse

General Matrix Multiplication (GEMM) is the cornerstone of high-performance computing and deep learning. Its efficiency significantly influences the performance of applications ranging from large language models to scientific simulations. Intel Advanced Matrix Extensions (AMX) significantly boost matrix operations thro...

Kang-Kang Chen, Hua-You Su, Menghan Jia et al. · 0 citations

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