However, in general, existing workflow tools do not incorporate optimization algorithms, and thus whilst users can specify complex computational and data manipulation pipelines, they need to invoke the workflow as a stand-alone computation within an external optimization tool.
However, in general, existing workflow tools do not incorporate optimization algorithms, and thus whilst users can specify simulation pipelines, they need to invoke the workflow as a stand-alone computation within an external optimization tool.
This paper thus proposes a methodology that incorporates optimization techniques and statistical experimental designs within a general framework to address the issues of uncertainty and risk as well as their correlations in a systematic manner.
To make this tractable, one may incorporate optimization techniques into our model, allowing the selection of the most important combinations.
EPA already incorporates optimizations to pre-compute and retain in memory as much as possible.
We implement these optimal algorithms in a high-performance computing framework that uses state-of-the-art linear algebra kernels, incorporates optimizations, and avoids redundant computations, increasing throughput while reducing memory usage and energy consumption.
A novel approach to extreme lightweight design is realized by incorporating structural optimization tools, bionic structures and LAM guidelines into one design process.
In this paper, we propose a new parallel algorithm for the simulation of large-scale thin film deposition incorporating two optimization strategies: (1) domain decomposition with sub-domain overlapping and (2) asynchronous communication.
Patients were randomly assigned to either standard-of-care treatment or a multifaceted early GDT algorithm, incorporating volume optimization, blood, and inotropes.
