Appian, a leading Low-Code and Business Process Management platform provider, announced today the latest version of the Appian platform with patent pending intelligent and automatic parallelization
for multi-core processing.
note of their process parallelizing the new Non-Hydrostatic Icosahedral Model (NIM): "Scientists wrote the code, computer scientists were responsible for the directive-based parallelization
and optimization, and software engineers maintained the software infrastructure capable of supporting development, testing, and running the model on diverse supercomputer systems.
On the basis of these considerations, this paper deals with several optimizing techniques including task distribution on the CPU side, double buffering, frame buffer object (FBO), and parallelization
of the CPU and GPU.
today announced the development of software technology that uses multiple GPUs to enable high-speed deep learning powered by the application of supercomputer software parallelization
It also raises quality in all steps of the engineering workflow and cuts times-to-market by means of measures such as parallelization
of a Back Propagation Neural Network using distributed computing technologies shows to be an effective way to improve the Neural Network performance in terms of efficiency.
There are two approaches for this: task parallelization
and data parallelization
Viewing plan recognition as parsing based on a complete breadth first search, makes ELEXIR (engine for lexicalized intent recognition) (Geib 2009, Geib and Goldman 2011) particularly suited for parallelization
Moreover, in Krylov type iterative methods, the convergence decreases or is lost after parallelization
of these methods -compared with serial variants of these-, the least affected seems to be the CG, as shown in .
Discussed also are various algorithms and methodologies from basic building blocks in statistical science and computer science, including Markov random fields, nonstationary and multivariate modeling with training images, training image construction, validation and quality control, inverse modeling with training images, parallelization
, and three example applications in physical sciences (reservoir modeling, mineral resources modeling, and climate model downscaling).
Because it also facilitates the parallelization
of retrieval and production processes, the software increases SMD throughput by approximately 50%.
The key principle of high throughput experimentation is parallelization