"large scale parallel" is a correct and usable phrase in written English.
It is generally used to describe a large operation, project, or process that is distributed among many participants or sources in order to complete a task in a short amount of time. For example, "The company is launching a large scale parallel effort to have their new product ready for market in six months."
The model is then simulated using a large scale parallel computing platform.
Furthermore, large scale parallel computers are too expensive to be easily accessible to many research institutes.
We are interested in the numerical solution of the unsteady Navier Stokes equations on large scale parallel architectures.
Both models require parallel implementation and deployment on large scale parallel computing resources in order to achieve reasonable simulation times for three-dimensional models.
To design a large scale parallel information retrieval system, both performance and storage cost has to be taken into integrated consideration.
These simulations demonstrate the capability of the high-order DG solver to handle complex geometry and large scale parallel simulations in an overset framework.
Despite its potential for application, there is only limited support for community detection on large-scale parallel computers, largely owing to the irregular and inherently sequential nature of the underlying heuristics.
Two major advantages of DNA computing – huge memory capacity and high parallelism – are being explored for large-scale parallel computing, mass data storage and cryptography.
Through parallelization, field programmable gate array (FPGA) can achieve unprecedented speeds in large-scale parallel Monte Carlo (LPMC) simulations.
Science is often celebrated as the source of technology, and the technological side benefits associated with building large accelerators have been pervasive, including development of large-scale parallel computing technology, and the development of the world wide web.
This is a moment for incredible automation, because of the confluence of affordable and large-scale parallel computation, the increased availability of bigger data sets, and advanced deep-learning algorithms.
