壕沟
发表于 2025-3-23 13:02:29
http://reply.papertrans.cn/59/5812/581178/581178_11.png
小隔间
发表于 2025-3-23 15:54:49
Prabhjot Sandhu,Clark Verbrugge,Laurie Hendrenfront line to board) constitutes a powerful enabler for innovation (Schoenfeldt and Jansen .). Our new model of innovation diffusion considers the leadership characteristics and activities that help innovation move from the ideation and adoption phase to the diffusion and implementation phase within
finale
发表于 2025-3-23 18:23:09
http://reply.papertrans.cn/59/5812/581178/581178_13.png
懦夫
发表于 2025-3-23 23:09:04
http://reply.papertrans.cn/59/5812/581178/581178_14.png
哑巴
发表于 2025-3-24 03:22:43
Locality-Based Optimizations in the Chapel Compiler compiler in versions 1.23 and 1.24. These optimizations rely on the use of data-parallel loops and distributed arrays to strength-reduce accesses to global memory and aggregate remote accesses. We test these optimizations with STREAM-Triad and index_gather benchmarks and show that they result in ar
Humble
发表于 2025-3-24 09:38:51
http://reply.papertrans.cn/59/5812/581178/581178_16.png
起波澜
发表于 2025-3-24 13:39:32
http://reply.papertrans.cn/59/5812/581178/581178_17.png
不怕任性
发表于 2025-3-24 15:26:13
http://reply.papertrans.cn/59/5812/581178/581178_18.png
宫殿般
发表于 2025-3-24 22:26:50
http://reply.papertrans.cn/59/5812/581178/581178_19.png
organic-matrix
发表于 2025-3-24 23:48:29
Optimizing Sparse Matrix Multiplications for Graph Neural Networkstrices. Our model is first trained offline using training matrix samples, and the trained model can be applied to any input matrix and GNN kernels with SpMM computation. We implement our approach on top of PyTorch and apply it to 5 representative GNN models running on a multi-core CPU using real-lif