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An increasing number of applications in physical and social sciences require the analysis of large graphs. The efficiency of these programs strongly depends on their memory usage especially the locality of graph data access. Intuitively, the locality in computation should reflect the locality in graph topology. Existing locality models, however, operate either at program level for regular loops and...
Members of agricultural supply chain pay too much attention to self-interest rather than common benefits, which collides with the target of the whole supply chain and results in inefficiency and the slow circulation of agricultural products. Therefore, evaluating and improving the performance of supply chain cooperation effectively is significant for scholars. Based on the construction of valuation...
Sparse matrix vector multiplication (SpMV) is used in many scientific computations. The main bottleneck of this algorithm is memory bandwidth and many methods reduce memory bandwidth usage by compressing the index array. The matrices from finite difference modeling applications often have several dense diagonals and sparse diagonals. For these matrices, the index array can be deleted by using diagonal...
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