Sentence examples for computationally expensive tasks from inspiring English sources

In light of the benefits of cloud computing, cloud-based high performance computing (HPC) has the potential to enable users to not only accelerate computationally expensive tasks, but also to reduce costs by utilizing on-demand, ubiquitous, seamless, and user-friendly access to remote engineering application packages as well as remote HPC resources.

Hence, computationally expensive tasks, like motion estimation, could be relocated to the decoder, allowing for a flexible sharing of the computational complexity between the encoder and the decoder and enabling the design of lightweight encoding architectures.

QMEANBrane is designed on a modular basis, implementing computationally expensive tasks in a C++ layer.

LU Decomposition of Jacobian matrix remains the most computationally expensive task during Newton Raphson iterative method.

Solving elliptic PDEs in more than one dimension can be a computationally expensive task.

Conventionally, this requires repetitive evaluations of the failure probability for different distribution parameters, which is a direct but computationally expensive task.

If it is necessary, however, to model the continuous/hybrid behavior of the plant, the verification is a computationally expensive task.

From first principles, this problem requires repeated reliability analyses to estimate the failure probability for different distribution parameter values, which is a computationally expensive task.

Conventionally, this requires repeated evaluations of the failure probability for different values of the design parameters, which is a direct but computationally expensive task.

Mining high utility itemsets in a transactional database where items have positive or negative unit profits is a computationally expensive task, and it is thus desirable to design more efficient algorithms.

Since the proposed methodology is formulated as a nonlinear constrained optimization problem, it avoids the computationally expensive task of solving dynamic optimization problems, making it suitable for application to large-scale systems.