[HTML][HTML] A survey of domains in workflow scheduling in computing infrastructures: Community and keyword analysis, emerging trends, and taxonomies
L Versluis, A Iosup - Future generation computer systems, 2021 - Elsevier
Workflows are prevalent in today's computing infrastructures as they support many domains.
Different Quality of Service (QoS) requirements of both users and providers makes workflow …
Different Quality of Service (QoS) requirements of both users and providers makes workflow …
The confluence of machine learning and multiscale simulations
Multiscale modeling has a long history of use in structural biology, as computational
biologists strive to overcome the time-and length-scale limits of atomistic molecular …
biologists strive to overcome the time-and length-scale limits of atomistic molecular …
A community roadmap for scientific workflows research and development
The landscape of workflow systems for scientific applications is notoriously convoluted with
hundreds of seemingly equivalent workflow systems, many isolated research claims, and a …
hundreds of seemingly equivalent workflow systems, many isolated research claims, and a …
Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow
In today's digital healthcare landscape, numerous clinical institutions collaborate to enhance
healthcare quality in a ubiquitous fog and cloud environment. Data fusion plays a vital role in …
healthcare quality in a ubiquitous fog and cloud environment. Data fusion plays a vital role in …
Generalizable coordination of large multiscale workflows: challenges and learnings at scale
H Bhatia, F Di Natale, JY Moon, X Zhang… - Proceedings of the …, 2021 - dl.acm.org
The advancement of machine learning techniques and the heterogeneous architectures of
most current supercomputers are propelling the demand for large multiscale simulations that …
most current supercomputers are propelling the demand for large multiscale simulations that …
On the importance of configuration search to the predictivity of lanthanide selectivity
The lanthanide elements are crucial components in numerous technologies, yet their
industrial production through liquid–liquid extraction continues to be economically and …
industrial production through liquid–liquid extraction continues to be economically and …
How workflow engines should talk to resource managers: A proposal for a common workflow scheduling interface
Scientific workflow management systems (SWMSs) and resource managers together ensure
that tasks are scheduled on provisioned resources so that all dependencies are obeyed …
that tasks are scheduled on provisioned resources so that all dependencies are obeyed …
Perspective: New directions in dynamical density functional theory
M Te Vrugt, R Wittkowski - Journal of Physics: Condensed Matter, 2022 - iopscience.iop.org
Classical dynamical density functional theory (DDFT) has become one of the central
modeling approaches in nonequilibrium soft matter physics. Recent years have seen the …
modeling approaches in nonequilibrium soft matter physics. Recent years have seen the …
High Throughput Training of Deep Surrogates from Large Ensemble Runs
Recent years have seen a surge in deep learning approaches to accelerate numerical
solvers, which provide faithful but computationally intensive simulations of the physical …
solvers, which provide faithful but computationally intensive simulations of the physical …
Transfer learning as a tool for reducing simulation bias: application to inertial confinement fusion
We adopt a technique, known in the machine learning community as transfer learning, to
reduce the bias of computer simulation using very sparse experimental data. Unlike the …
reduce the bias of computer simulation using very sparse experimental data. Unlike the …