Abstract: We consider a sparse matrix-matrix multiplication (SpGEMM) setting where one matrix is square and the other is tall and skinny. This special variant, TS-SpGEMM, has important applications in ...
Abstract: Influence maximization (IM) is the problem of finding the k most influential nodes in a graph. We propose distributed-memory parallel algorithms for the two main kernels of a ...
Metehan Yesilyurt, growth marketing manager at AppSamurai, analyzed browser-level interactions with Perplexity’s infrastructure and believes he has discovered how content is evaluated and ranked. It ...
David Joyner does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...
Imagine if you could "print" a tiny skyscraper using DNA instead of steel. That’s what researchers at Columbia and Brookhaven are doing—constructing intricate 3D nanostructures by harnessing the ...
As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...
The editors of a conservative fashion magazine called The Conservateur explained in a new interview why fashion, "hotness," and other industries or concepts have been coded left or right-wing politics ...
In a milestone that brings quantum computing tangibly closer to large-scale practical use, scientists at Oxford University Physics have demonstrated the first instance of distributed quantum computing ...
Zhang et al. (1) question whether our study (2) provides evidence of multiple parallel vector memories coexisting in bumblebees. They suggest that an alternate model, where a single vector memory is ...
ABSTRACT: The economic dispatch problem in power systems is a classic issue in the field of power systems. This paper first uses the traditional genetic algorithm to solve the economic dispatch ...
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