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Dinshaw Balsara

2019

Dinshaw S. Balsara and Roger Käppeli (2019): von Neumann stability analysis of globally constraint-preserving DGTD and PNPM schemes for the Maxwell equations using multidimensional Riemann solvers, Journal of Computational Physics, Elsevier, Vol 376, pp1108-1137
Siyao Xu, Sudip K. Garain, Dinshaw S. Balsara, and A. Lazarian (2019): Turbulent dynamo in a weakly ionized medium, Astrophysical Journal, The American Astronomical Society, Vol 872, Num 1, pp62
Dinshaw S. Balsara, Vladimir Florinski, Sudip Garain, Sethupathy Subramanian, and Katharine F. Gurski (2019): Efficient, Divergence-Free, High Order MHD on 3D Spherical Meshes with Optimal Geodesic Meshing, Monthly Notices of the Royal Astronomical Society, The Royal Astronomical Society, Vol 487, Num 1, pp1283-1314
Peter Garnavich, Colin Littlefield, Stella Kafka, Mark Kennedy, Paul Callanan, Dinshaw S. Balsara, and Maxim Lyutikov (2019): Driving the Beat: Time-resolved Spectra of the White Dwarf Pulsar AR Scorpii, Astrophysical Journal, American Astronomical Society, Vol 872, Num 1, pp67

2018

Dinshaw S. Balsara, Sudip Garain, Allen Taflove, and Gino Montecinos (2018): Computational Electrodynamics in Material Media with Constraint-Preservation, Multidimensional Riemann Solvers and Sub-Cell Resolution - Part II, Higher Order FVTD Schemes, Journal of Computational Physics, Elsevier BV, Vol 354, pp613-645
Jinho Kim, Dinshaw S. Balsara, Maxim Lyutikov, and Serguei S. Komissarov (2018): On the linear stability of sheared and magnetized jets without current sheets - relativistic case, Monthly Notices of the Royal Astronomical Society, The Royal Astronomical Society, Vol 474, Num 3, pp3954-3966

2017

Dinshaw S. Balsara, and Roger Käppeli (2017): Von Neumann Stability Analysis of Globally Divergence-Free RKDG Schemes for the Induction Equation Using Multidimensional Riemann Solvers, Journal of Computational Physics, Elsevier BV, Vol 336, pp104-127
Dinshaw S. Balsara, Allen Taflove, Sudip Garain, and Gino Montecinos (2017): Computational Electrodynamics in Material Media with Constraint-Preservation, Multidimensional Riemann Solvers and Sub-Cell Resolution - Part I, Second-Order FVTD Schemes, Journal of Computational Physics, Elsevier BV, Vol 349, pp604-635
Dinshaw S. Balsara (2017): Higher-Order Accurate Space-Time Schemes for Computational astrophysics, Part I: Finite Volume Methods, Living Reviews in Computational Astrophysics, Springer Nature, Vol 3, Num 1
Jinho Kim, Dinshaw S. Balsara, Maxim Lyutikov, and Sergei S. Komissarov (2017): On the linear stability of magnetized jets without current sheets relativistic case, Monthly Notices of the Royal Astronomical Society, The Royal Astronomical Society, Vol 467, Num 4, pp4647-4662
Jinho Kim, Sudip K. Garain, Dinshaw S. Balsara, and Sandip K. Chakrabarti (2017): General relativistic numerical simulation of sub-Keplerian transonic accretion flows on to black holes: Schwarzschild space–time, Monthly Notices of the Royal Astronomical Society, The Royal Astronomical Society, Vol 472, Num 1, pp542-549

2016

Jinho Kim, Dinshaw S. Balsara, Maxim Lyutikov, and Serguei S. Komissarov (2016): On the linear stability of sheared and magnetized jets without current sheets - non-relativistic case, Monthly Notices of the Royal Astronomical Society, The Royal Astronomical Society, Vol 461, Num 1, pp728-741
Dinshaw S. Balsara, Takanobu Amano, Sudip Garain, and Jinho Kim (2016): A High-Order Relativistic Two-Fluid Electrodynamic Scheme with Consistent Reconstruction of Electromagnetic Fields and a Multidimensional Riemann Solver for Electromagnetism, Journal of Computational Physics, Elsevier BV, Vol 318, pp169-200

2015

Dinshaw S. Balsara, and Michael Dumbser (2015): Divergence-Free MHD on Unstructured Meshes Using High Order Finite Volume Schemes Based on Multidimensional Riemann Solvers, Journal of Computational Physics, Elsevier BV, Vol 299, pp687-715
Kim, Jinho and Balsara, Dinshaw S. and Lyutikov, Maxim and Komissarov, Sergei S. and George, Daniel and Siddireddy, Prasanna Kumar (2015): On the linear stability of magnetized jets without current sheets non-relativistic case, Monthly Notices of the Royal Astronomical Society, Oxford University Press, Vol 450, Num 1, pp982-997
Sudip Garain, Dinshaw S. Balsara, and John Reid (2015): Comparing Coarray Fortran (CAF) with MPI for Several Structured Mesh PDE Applications, Journal of Computational Physics, Elsevier BV, Vol 297, pp237--253
Blakesley Burkhart, A. Lazarian, D. Balsara, C. Meyer, and J. Cho (2015): Alfvenic Turbulence Beyond the Ambipolar Diffusion Scale, Astrophysical Journal, The American Astronomical Society, Vol 805, Num 2, pp118

2014

C. D. Meyer, D. S. Balsara, B. Burkhart, and A. Lazarian (2014): Observational Diagnostics for Two-Fluid Turbulence in Molecular Clouds as Suggested by Simulations, Monthly Notices of the Royal Astronomical Society, Oxford University Press, Vol 439, Num 3, pp2197-2210

2019

Dinshaw S. Balsara, Alexandre Lazarian, Blakesley Burkhart (2019): Simulating Two-Fluid MHD Turbulence and Dynamos in Star-Forming Molecular Clouds and a New Paradigm for Computational Astrophysics for Spherical Systems, 2019 Blue Waters Annual Report, pp14-15

2018

Dinshaw S. Balsara, Alexandre Lazarian, Blakesley Burkhart (2018): Simulating Two-Fluid MHD Turbulence and Dynamos in Star-Forming Molecular Clouds, 2018 Blue Waters Annual Report, pp56-57

2017

Dinshaw S. Balsara (2017): Simulating Two-Fluid MHD Turbulence in Star-Forming Molecular Clouds on The Blue Waters System, Blue Waters annual-book summary slide
Dinshaw S. Balsara (2017): Simulating Two-Fluid MHD Turbulence in Star-Forming Molecular Clouds on The Blue Waters System, 2017 Blue Waters Annual Report, pp18-19

2016

Dinshaw S. Balsara (2016): Comparing CAF and MPI-3 and Simulating Molecular Cloud Turbulence with Two-Fluid MHD, 2016 Blue Waters Annual Report, pp24-25

2015

Dinshaw S. Balsara (2015): Comparing CAF and MPI-3 and Simulating Molecular Cloud Turbulence with Two-Fluid MHD, 2015 Blue Waters Annual Report, pp72-73

Great Lakes Consortium awards access to Blue Waters supercomputer to 11 research projects


Jun 2, 2016

How the flu virus enters a cell in the body. Evaluating economic policy impacts of potential future climate change. Understanding the dynamics and physics of atomic matter during galaxy cluster formation. These are just a few of the research projects being pursued by the 11 science and engineering teams from across the country who were awarded time on the Blue Waters supercomputer through the Great Lakes Consortium for Petascale Computation. Over a twelve-month period, these science and engineering teams will have a combined total of more than 4.3 million node hours on Blue Waters.


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Great Lakes Consortium awards Blue Waters resources to 9 research teams


Mar 13, 2015

Nine research teams from a wide range of disciplines have been awarded computational and data resources on the Blue Waters supercomputer at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign. Blue Waters is one of the world’s most powerful supercomputers, capable of performing quadrillions of calculations every second and working with quadrillions of bytes of data. Its massive scale and balanced architecture enable scientists and engineers to tackle research challenges that could not be addressed with other computing systems.


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U of I, Great Lakes Consortium award Blue Waters resources to 18 research teams


Apr 10, 2014

Eighteen research teams from a wide range of disciplines have been awarded computational and data resources on the sustained-petascale Blue Waters supercomputer at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign. Blue Waters is one of the world’s most powerful supercomputers, capable of performing quadrillions of calculations every second and working with quadrillions of bytes of data. Its massive scale and balanced architecture enable scientists and engineers to tackle research challenges that could not be addressed with other computing systems.


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