Quantum 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 ...

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 ...

Traditional extraction methods in ETL (Extract, Transform, Load) systems often struggle with the constantly changing formats and sources in today’s digital environments. AI has stepped in to make this ...

DPAx decouples the control and compute instructions in the systolic array. Second, we present DPMap, a graph-partitioning algorithm which maps the data-flow graph of the objective function to compute ...

To solve this problem, we propose a Graph Neural Network Reinforcement learning-based service Placement and model Partitioning algorithm (GRPP). Initially, we extract the feature embedding of RSU ...

Numerical types and precision requirements, which vary across DP algorithms Their proposed GenDP framework comprises two main components: DPAx, a programmable DP accelerator, and DPMap, a ...

Moreover, the article addresses the challenge of optimally selecting pinned nodes by using a graph partitioning algorithm and a greedy node selection algorithm, which can be applied to effectively ...

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 ...

A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...