Guest Editorial: Big data-driven theory building: Philosophies, guiding principles, and common traps
AK Kar, S Angelopoulos, HR Rao - International Journal of Information …, 2023 - Elsevier
While data availability and access used to be a major challenge for information systems
research, the growth and ease of access to large datasets and data analysis tools has …
research, the growth and ease of access to large datasets and data analysis tools has …
Optimal scheduling of in-situ analysis for large-scale scientific simulations
Today's leadership computing facilities have enabled the execution of transformative
simulations at unprecedented scales. However, analyzing the huge amount of output from …
simulations at unprecedented scales. However, analyzing the huge amount of output from …
Scalable in situ analysis of molecular dynamics simulations
Analysis of scientific simulation data enables scientists to glean insight from simulations. In
situ analysis, which can be simultaneously executed with the simulation, mitigates I/O …
situ analysis, which can be simultaneously executed with the simulation, mitigates I/O …
[HTML][HTML] Scalable rank-mapping algorithm for an icosahedral grid system on the massive parallel computer with a 3-D torus network
In this paper, we develop a rank-mapping algorithm for an icosahedral grid system on a
massive parallel computer with the 3-D torus network topology, specifically on the K …
massive parallel computer with the 3-D torus network topology, specifically on the K …
IFM: a scalable high resolution flood modeling framework
Accurate and timely flood forecasts are essential for effective management of flood disasters,
which has become increasingly frequent over the last decade. Obtaining such forecasts …
which has become increasingly frequent over the last decade. Obtaining such forecasts …
Small fish in a big pond: An architectural approach to users privacy, rights and security in the age of big data
We focus on the challenges and issues associated with Big Data, and propose a novel
architecture that uses the principles of Separation of Concerns and distributed computing to …
architecture that uses the principles of Separation of Concerns and distributed computing to …
A hybrid parallelization approach for high resolution operational flood forecasting
Accurate and timely flood forecasts are becoming highly essential due to the increased
incidence of flood related disasters over the last few years. Such forecasts require a high …
incidence of flood related disasters over the last few years. Such forecasts require a high …
A diffusion-based processor reallocation strategy for tracking multiple dynamically varying weather phenomena
P Malakar, V Natarajan, SS Vadhiyar… - 2013 42nd …, 2013 - ieeexplore.ieee.org
Many meteorological phenomena occur at different locations simultaneously. These
phenomena vary temporally and spatially. It is essential to track these multiple phenomena …
phenomena vary temporally and spatially. It is essential to track these multiple phenomena …
A parallel exchange sort algorithm
B Shirazi, YD Song - 1989 Eighth Annual International Phoenix …, 1989 - computer.org
Accurate and timely flood forecasts are becoming highly essential due to the increased
incidence of flood related disasters over the last few years. Such forecasts require a high …
incidence of flood related disasters over the last few years. Such forecasts require a high …
Evaluation and enhancement of weather application performance on Blue Gene/Q
Numerical weather prediction (NWP) models use mathematical models of the atmosphere to
predict the weather. Ongoing efforts in the weather and climate community continuously try …
predict the weather. Ongoing efforts in the weather and climate community continuously try …