Binary Sparse Matrix-Vector Multiplication (SpMV) is a heavy computational kernel in weblink analysis, integer factorization, compressed sensing, spectral graph theory, and other domains. Testing ...

PGM, PD and RCAL means are shown in Table 2. After 6 months, the PD reduction was 3.63 ± 2.23 mm. At 3 and 6 months, a significant improvement in PD (p<0.05) from baseline was obtained, without ...

In this paper, we consider coded computation for matrix multiplication tasks in distributed computing, which can mitigate the effect of slow workers, called stragglers, by a coding approach. We assume ...