9 RegisterLog in Sign up with one click: Facebook Twitter Google Share on Facebook parallelize (redirected fromParallelization) Thesaurus Encyclopedia Related to Parallelization:Parallel programming,Parallelizing compiler,Automatic parallelization (ˈpærəlɛˌlaɪz)or ...
cloud computingThe computational efficiency of the traditional serial spherical discontinuous deformation analysis (SDDA) program has limited its application in geotechnical engineering problems that need a large number of spheres. The cloud computing technology is used to parallel the SDDA program for ...
Those protocols, as analyzed in Section 5.4, outsource the data in an encrypted way to a high-performance server or cloud, where heavy computations are carried on to compute the intersection. This approach is very straightforward with HE-based protocols, and it has been applied too on generic ...
such as multi-core CPUs or GPUs. The high processing power enables the deployment of many parallel threads (or even thousands in the case of GPUs), while it typically does not make sense to employ more than a few hundreds of particles in an SI algorithm[10...
A hybrid approach for scalable sub-tree anonymization over big data using Map Reduce on cloud In big data applications, data privacy is one of the most concerned issues because processing large-scale privacy-sensitive data sets often requires comput... Zhang,XY,Liu,... - 《J Comput Syst》 ...
Parallel computingThreadsMulti-core processorNumerical modelConvective cloudThe article is concerned with the relevant problem of effective mapping of existing applications on multi-core processor computers. Numerical model of convective cloud is used as an application to be parallelized. The choice of the...
Run high-performance computing (HPC) applications on Azure - Training Azure HPC is a purpose-built cloud capability for HPC & AI workload, using leading-edge processors and HPC-class InfiniBand interconnect, to deliver the best application performance, scalability, and value. Azure HPC enables user...
them, the computational complexity of CNBC is significantly lower as the CNBC body supports high parallelization making it applicable to grid/cloud computing... S Uhlmann,S Kiranyaz,T Ince,... - Image & Signal Processing for Remote Sensing 被引量: 0发表: 2011年 加载更多来源...
Spotlight: Optimize the Cloud by Serdar Yegulalp Senior Writer Follow Serdar Yegulalp on X Serdar Yegulalp is a senior writer at InfoWorld, covering software development and operations tools, machine learning, containerization, and reviews of products in those categories. Before joining InfoWorld, Se...
have enabled major breakthroughs in parallel computing performance [6,7]. GPU-based computing has advantages in processing intensive matrix operations, and it has been widely used in some compute-intensive applications [8,9,10,11,12,13,14,15,16]. Cloud computing has performance advantages in ...