The invention provides a large-scale parallel processing method of a moving particle semi-implicit method. The method comprises the following steps of: (1) adopting an efficient and easily-paralleled symmetric Lanczos algorithm SLA to solve a pressure poisson equation in the semi-implicit particle ...
网络释义 1. 大规模平行计算 -大规模平行计算(Large scale parallel computing)- 自动/机器学习(Machine learning)- 语言处理Language processing- 数… company.zhaopin.com|基于68个网页 2. 大规模并行计算 来自Google 微软... ... -大规模并行计算(Large scale parallel computing) - 自动/机器学习( Machine ...
Build Hull is currently one of the most efficient methods to address the large-scale data envelopment analysis problem. In this paper, the computational co
Parallel Processing on Very Large Scale Integration Arrays 作者:Josef A·Nossek 出版年:1991-6 页数:140 定价:$ 202.27 ISBN:9780792392002 豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 推荐
Despite the promising progress that has been made, large-scale clustering tasks still face various challenges: (i) high time and space complexity in K-near
The improvements obtained on volume-based partition quality metrics using our models are validated with parallel SpMM as well as parallel multi-source BFS experiments on two large-scale systems. For parallel SpMM, compared to the standard partitioning models, our graph and hypergraph partitioning ...
1) large scale parallel algorithm 大规模并行算法 2) massive parallel processing system 大规模并行计算机系统 1. Message passing basedmassive parallel processing systems, which performance greatly depend on the efficiency of the communication among their internal processors, are becoming the mainstream of ...
The ability to process data non-sequentially enables the decomposition of the complex problem into multiple, smaller, simultaneous computations. Naturally, GPUs are well suited to solve these types of problems in parallel, allowing for large-scale processing of large-scale unlabelled datasets and enormo...
Use Azure Batch to run large-scale parallel and high-performance computing (HPC) batch jobs efficiently in Azure. Azure Batch creates and manages a pool of compute nodes (virtual machines), installs the applications you want to run, and schedules jobs to run on the nodes. There's no cluste...
Photonics is a promising platform for implementing universal quantum information processing. Its main challenges include precise control of massive circuits of linear optical components and effective implementation of entangling operations on photons. By using large-scale silicon photonic circuits to implement...