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pro vyhledávání: '"Sishtla, Chaitanya Prasad"'
Alfv\'enic fluctuations, as modelled by the non-linear interactions of Alfv\'en waves of various scales, are seen to dominate solar wind turbulence. However, there is also a non-negligible component of non-Alfv\'enic fluctuations. The Els\"asser form
Externí odkaz:
http://arxiv.org/abs/2402.09250
Autor:
Sishtla, Chaitanya Prasad, Jebaraj, Immanuel Christopher, Pomoell, Jens, Magyar, Norbert, Pulupa, Marc, Kilpua, Emilia, Bale, Stuart D.
The nonlinear evolution of Alfv\'en waves in the solar corona leads to the generation of Alfv\'enic turbulence. This description of the Alfv\'en waves involves parametric instabilities where the parent wave decays into slow mode waves giving rise to
Externí odkaz:
http://arxiv.org/abs/2312.10398
Publikováno v:
A&A 679, A54 (2023)
Alfv\'enic fluctuations of various scales are ubiquitous in the corona; their non-linear interactions and eventual turbulent cascade result in an important heating mechanism that accelerates the solar wind. These fluctuations may be processed by larg
Externí odkaz:
http://arxiv.org/abs/2309.06266
Autor:
Sishtla, Chaitanya Prasad, Pomoell, Jens, Kilpua, Emilia, Good, Simon, Daei, Farhad, Palmroth, Minna
Publikováno v:
A&A 661, A58 (2022)
Alfv\'en-wave turbulence has emerged as an important heating mechanism to accelerate the solar wind. The generation of this turbulent heating is dependent on the presence and subsequent interaction of counter-propagating alfv\'en waves. This requires
Externí odkaz:
http://arxiv.org/abs/2204.09417
Autor:
Sishtla, Chaitanya Prasad, Chien, Steven W. D., Olshevsky, Vyacheslav, Laure, Erwin, Markidis, Stefano
iPIC3D is a widely used massively parallel Particle-in-Cell code for the simulation of space plasmas. However, its current implementation does not support execution on multiple GPUs. In this paper, we describe the porting of iPIC3D particle mover to
Externí odkaz:
http://arxiv.org/abs/1904.03684
Autor:
Sishtla, Chaitanya Prasad, Olshevsky, Vyacheslav, Chien, Steven W. D., Markidis, Stefano, Laure, Erwin
Publikováno v:
Journal of Physics: Conference Series, Volume 1225 (2019), 012009
We perform and analyze global Particle-in-Cell (PIC) simulations of the interaction between solar wind and an outgassing comet with the goal of studying the plasma kinetic dynamics of a cometary environment. To achieve this, we design and implement a
Externí odkaz:
http://arxiv.org/abs/1901.09638
Autor:
Chien, Steven W. D., Markidis, Stefano, Sishtla, Chaitanya Prasad, Santos, Luis, Herman, Pawel, Narasimhamurthy, Sai, Laure, Erwin
The performance of Deep-Learning (DL) computing frameworks rely on the performance of data ingestion and checkpointing. In fact, during the training, a considerable high number of relatively small files are first loaded and pre-processed on CPUs and
Externí odkaz:
http://arxiv.org/abs/1810.03035
Autor:
Markidis, Stefano, Olshevsky, Vyacheslav, Sishtla, Chaitanya Prasad, Chien, Steven Wei-der, Laure, Erwin, Lapenta, Giovanni
Publikováno v:
Frontiers in Physics, 6 (2018), 100
Particle-in-Cell (PIC) methods are widely used computational tools for fluid and kinetic plasma modeling. While both the fluid and kinetic PIC approaches have been successfully used to target either kinetic or fluid simulations, little was done to co
Externí odkaz:
http://arxiv.org/abs/1807.05183
Autor:
Chien, Steven Wei Der, Sishtla, Chaitanya Prasad, Markidis, Stefano, Jun, Zhang, Peng, Ivy Bo, Laure, Erwin
Computational intensive applications such as pattern recognition, and natural language processing, are increasingly popular on HPC systems. Many of these applications use deep-learning, a branch of machine learning, to determine the weights of artifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::36c5cd9ac70c29622c54939f3070faad
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232985
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232985
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