29 citations · 59 across the 17 of their papers we have counts for
9 papers · 1 filter
Scalability of the asynchronous discontinuous Galerkin method for compressible flow simulations
Shubham Kumar Goswami, Dapse Vidyesh, Konduri Aditya
The scalability of time-dependent partial differential equation (PDE) solvers based on the discontinuous Galerkin (DG) method is increasingly limited by data communication and sync…
ChemXDyn: Dynamics-informed species and reaction detection methodology from atomistic simulations
Raj Maddipati, Dhruthi Boddapati, Elangannan Arunan +2
Accurate identification of chemical species and reaction pathways from molecular dynamics (MD) trajectories is a prerequisite for deriving predictive chemical-kinetic models and fo…
Accuracy and scalability of asynchronous compressible flow solver for transitional flows
Aswin Kumar Arumugam, Shubham Kumar Goswami, Nagabhushana Rao Vadlamani +1
To overcome the communication bottlenecks observed in state-of-the-art parallel time-dependent flow solvers at extreme scales, an asynchronous computing approach that relaxes commu…
An a-posteriori analysis of co-kurtosis PCA based dimensionality reduction using a neural ODE solver
Tadikonda Shiva Sai, Hemanth Kolla, Konduri Aditya
A low-dimensional representation of thermochemical scalars based on cokurtosis principal component analysis (CoK-PCA) has been shown to effectively capture stiff chemical dynamics…
An asynchronous discontinuous Galerkin method for combustion simulations
Aswin Kumar Arumugam, Konduri Aditya
The discontinuous Galerkin (DG) method has been widely considered in recent years to develop scalable flow solvers for its ability to handle discontinuities, such as shocks and det…
An asynchronous discontinuous Galerkin method for massively parallel PDE solvers
Shubham Kumar Goswami, Konduri Aditya
The discontinuous Galerkin (DG) method is widely being used to solve hyperbolic partial differential equations (PDEs) due to its ability to provide high-order accurate solutions in…
A scalable weakly-synchronous algorithm for solving partial differential equations
Konduri Aditya, Tobias Gysi, Grzegorz Kwasniewski +3
Synchronization overheads pose a major challenge as applications advance towards extreme scales. In current large-scale algorithms, synchronization as well as data communication de…
Anomaly detection in scientific data using joint statistical moments
Konduri Aditya, Hemanth Kolla, W. Philip Kegelmeyer +3
We propose an anomaly detection method for multi-variate scientific data based on analysis of high-order joint moments. Using kurtosis as a reliable measure of outliers, we suggest…
High-order asynchrony-tolerant finite difference schemes for partial differential equations
Konduri Aditya, Diego A. Donzis
Synchronizations of processing elements (PEs) in massively parallel simulations, which arise due to communication or load imbalances between PEs, significantly affect the scalabili…