State of the art and future trends in data reduction for high-performance computing

K Duwe, J Lüttgau, G Mania, J Squar… - Supercomputing …, 2020 - superfri.susu.ru
Research into data reduction techniques has gained popularity in recent years as storage
capacity and performance become a growing concern. This survey paper provides an …

A user-centered design study in scientific visualization targeting domain experts

Y Ye, F Sauer, KL Ma, K Aditya… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The development of usable visualization solutions is essential for ensuring both their
adoption and effectiveness. User-centered design principles, which involve users …

Staging based task execution for data-driven, in-situ scientific workflows

Z Wang, P Subedi, M Dorier, PE Davis… - … on Cluster Computing …, 2020 - ieeexplore.ieee.org
As scientific workflows increasingly use extreme-scale resources, the imbalance between
higher computational capabilities, generated data volumes, and available I/O bandwidth is …

RTune: Towards Automated and Coordinated Optimization of Computing and Computational Objectives of Parallel Iterative Applications

Y Yan, K Yan, A Wang - 2024 IEEE International Symposium on …, 2024 - ieeexplore.ieee.org
Efforts to optimize parallel scientific applications have focused on enhancing metrics related
to either the computing aspects, such as execution performance, or the computational …

Deep Learning Approach: A New Trend in Text Detection in Natural Images

D Kumar, R Singh - 2018 4th International Conference on …, 2018 - ieeexplore.ieee.org
With the advancement of digital technology, use of various multimedia devices such as
portable camera and mobile camera has grown at rapid pace. Now days, these portable …

Loom: Interweaving tightly coupled visualization and numeric simulation framework

J Barbosa, P Navratil, L Paulo Santos… - ISAV'21: In Situ …, 2021 - dl.acm.org
Traditional post-hoc high-fidelity scientific visualization (HSV) of numerical simulations
requires multiple I/O check-pointing to inspect the simulation progress. The costs of these I/O …

Exploring trade-offs in dynamic task triggering for loosely coupled scientific workflows

Z Wang, P Subedi, S Duan, Y Qin, P Davis… - arXiv preprint arXiv …, 2020 - arxiv.org
In order to achieve near-time insights, scientific workflows tend to be organized in a flexible
and dynamic way. Data-driven triggering of tasks has been explored as a way to support …

Efficient visualization of large-scale metal melt flow simulations using lossy in-situ tabular encoding for query-driven analytics

H Lehmann, E Werzner, C Demuth… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
Numerical simulations carried out in powerful High-Perfomance-Computing (HPC)
environments are becoming increasingly important for the design of improved filters for …

Data-Driven Triggers for Optimizing Staging-Based in Situ Scientific Workflow

Z Wang - 2022 - search.proquest.com
In situ processing alleviates impacts due to the gap between computation and I/O
capabilities of current large-scale computing systems by running the simulation and data …

In situ analysis and visualization of massively parallel simulations of transitional and turbulent flows

A Cadiou, M Buffat, C Pera, B Di Pierro… - Journal of Physics …, 2020 - iopscience.iop.org
The increase of computational resources with the generalization of massively parallel
supercomputers benefits to various fields of physics among which turbulence and fluid …