Sentence examples for massively parallel computations from inspiring English sources

The algorithm is well suited for massively parallel computations.

The ITMM is a spatial domain decomposition method proposed for massively parallel computations.

With 128 lowcost FPGAs residing on the COPACOBANA 5000 and in combination with a high-throughput systolic bus system, this machine therefore provides a dynamic solution for massively parallel computations with reconfigurable capabilities.

Since the parameter space can be very large, containing thousands of parameters to be optimized, we utilize massively parallel computations with message-passing interface technique in order to develop the optimal model.

Artificial neural networks (ANN) mimic the function of the human brain and are capable of performing massively parallel computations for data processing and knowledge representation.

Biologically inspired neural models require massively parallel computation and an understanding of how each cortical and subcortical region work together to elicit what we call consciousness.

A new multi-block hybrid compact WENO finite-difference method for the massively parallel computation of compressible flows is presented.

In this work, we implement this analysis step on graphics processing units (GPUs), an architecture that is optimized for massively parallel computation.

A recently developed method called massively parallel computation of absolute binding free energy with a well-equilibrated system (MP-CAFEE) successfully predicted the binding affinities of compounds with relatively similar scaffolds.

Apache Spark is used as the model's computation engine as it allows for massively parallel computation, horizontal scalability on commodity hardware, and supports a rich set of APIs based on map-reduce functions, machine learning algorithms, and commonly used statistical routines.

This method allows relatively simple FDTD algorithms to compete with frequency-domain solvers, offering advantages of simplicity, flexibility and ease of implementation; also, it scales to very large problems and massively parallel computation, and it can be used to extract high-frequency modes without first having to identify lower-frequency modes.