Titlebook: Languages and Compilers for Parallel Computing; 34th International W Xiaoming Li,Sunita Chandrasekaran Conference proceedings 2022 Springer

壕沟

小隔间

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

懦夫

哑巴

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

起波澜

不怕任性

宫殿般

organic-matrix

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