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Quantum computing prepwork made faster with graph-based data grouping algorithmQuantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...
The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...
Quantum computing holds great promise in such such as computational chemistry and high-speed networking. But they’re so ...
RICHLAND, Wash.-Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed ...
The graph theory: algorithmic approach. M, Mir 1978. 432 p. (in Russian) Berger M., Bokhari S Partitioning strategy for nonuniform ... Raghavan P A Cartesian parallel nested dissection algorithm SIAM ...
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best ...
Tech Xplore on MSN12d
Novel out-of-core mechanism introduced for large-scale graph neural network trainingA research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...
An innovative algorithm for detecting collisions of high-speed particles within nuclear fusion reactors has been developed, ...
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