Pramod S. Kumbhar

12 papers B 1C 3Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2023 B conf
MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL.
CC
George Mitenkov, Ioannis Magkanaris, Omar Awile, Pramod S. Kumbhar, Felix Schürmann, Alastair F. Donaldson
2022 J jnl
Modernizing the NEURON Simulator for Sustainability, Portability, and Performance.
Frontiers Neuroinformatics
Omar Awile, Pramod S. Kumbhar, Nicolas Cornu, Salvador Dura-Bernal, James Gonzalo King, Olli Lupton, Ioannis Magkanaris, Robert A. McDougal, Adam J. H. Newton, Fernando Pereira, Alexandru Savulescu, Nicholas T. Carnevale, William W. Lytton, Michael L. Hines, Felix Schürmann
2022 J jnl
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale.
Frontiers Neuroinformatics
Weiliang Chen, Tristan Carel, Omar Awile, Nicola Cantarutti, Giacomo Castiglioni, Alessandro Cattabiani, Baudouin Del Marmol, Iain Hepburn, James G. King, Christos Kotsalos, Pramod S. Kumbhar, Jules Lallouette, Samuel Melchior, Felix Schürmann, Erik De Schutter
2020 — conf
An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language.
ICCS (1)
Pramod S. Kumbhar, Omar Awile, Liam Keegan, Jorge Blanco Alonso, James Gonzalo King, Michael L. Hines, Felix Schürmann
2020 C conf
CoreNEURON: Performance and Energy Efficiency Evaluation on Intel and Arm CPUs.
CLUSTER
Joel Criado, Marta Garcia-Gasulla, Pramod S. Kumbhar, Omar Awile, Ioannis Magkanaris, Filippo Mantovani
2019 J jnl
An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language.
CoRR
Pramod S. Kumbhar, Omar Awile, Liam Keegan, Jorge Blanco Alonso, James Gonzalo King, Michael L. Hines, Felix Schürmann
2019 J jnl
CoreNEURON : An Optimized Compute Engine for the NEURON Simulator.
Frontiers Neuroinformatics
Pramod S. Kumbhar, Michael L. Hines, Jeremy Fouriaux, Aleksandr Ovcharenko, James Gonzalo King, Fabien Delalondre, Felix Schürmann
2018 J jnl
Code Generation in Computational Neuroscience: A Review of Tools and Techniques.
Frontiers Neuroinformatics
Inga Blundell, Romain Brette, Thomas A. Cleland, Thomas G. Close, Daniel Coca, Andrew P. Davison, Sandra Diaz-Pier, Carlos Fernandez Musoles, Padraig Gleeson, Dan F. M. Goodman, Michael L. Hines, Michael W. Hopkins, Pramod S. Kumbhar, David R. Lester, Bóris Marin, Abigail Morrison, Eric Müller, Thomas Nowotny, Alexander Peyser, Dimitri Plotnikov, Paul Richmond, Andrew Rowley, Bernhard Rumpe, Marcel Stimberg, Alan B. Stokes, Adam R. Tomkins, Guido Trensch, Michael Marmaduke Woodman, Jochen Martin Eppler
2016 C conf
Leveraging a Cluster-Booster Architecture for Brain-Scale Simulations.
ISC
Pramod S. Kumbhar, Michael L. Hines, Aleksandr Ovcharenko, Damián A. Mallón, James Gonzalo King, Florentino Sainz, Felix Schürmann, Fabien Delalondre
2015 — conf
Performance evaluation of the IBM POWER8 architecture to support computational neuroscientific application using morphologically detailed neurons.
PMBS@SC
Timothée Ewart, Stuart Yates, Francesco Cremonesi, Pramod S. Kumbhar, Felix Schürmann, Fabien Delalondre
2015 — conf
Simulating Morphologically Detailed Neuronal Networks at Extreme Scale.
PARCO
Aleksandr Ovcharenko, Pramod S. Kumbhar, Michael L. Hines, Francesco Cremonesi, Timothée Ewart, Stuart Yates, Felix Schürmann, Fabien Delalondre
2014 C conf
Rebasing I/O for Scientific Computing: Leveraging Storage Class Memory in an IBM BlueGene/Q Supercomputer.
ISC
Felix Schürmann, Fabien Delalondre, Pramod S. Kumbhar, John Biddiscombe, Miguel Gila, Davide Tacchella, Alessandro Curioni, Bernard Metzler, Peter Morjan, Joachim Fenkes, Michele Franceschini, Robert S. Germain, Lars Schneidenbach, T. J. Christopher Ward, Blake G. Fitch