1 code implementation • 25 Sep 2023 • Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Osi, Prateek Sharma, Fan Chen, Lei Jiang
The carbon footprint associated with large language models (LLMs) is a significant concern, encompassing emissions from their training, inference, experimentation, and storage processes, including operational and embodied carbon emissions.
no code implementations • 20 May 2023 • Sahil Tyagi, Prateek Sharma
Current techniques and systems for distributed model training mostly assume that clusters are comprised of homogeneous servers with a constant resource availability.
no code implementations • 12 Mar 2023 • Sahil Tyagi, Prateek Sharma
Furthermore, the training time and cost of distributed model training is highly sensitive to the cluster configurations, and presents a large and complex tradeoff-space.
no code implementations • 11 Nov 2021 • Prateek Sharma, Vikram Jadhao
Increasingly, data-driven and machine learning approaches are being used to support, speed-up, and enhance scientific computing applications, especially molecular dynamics simulations.
no code implementations • 26 Feb 2021 • Rebecca Rothermel, Wladimir Panfilenko, Prateek Sharma, Anne Wald, Thomas Schuster, Anne Jung, Stefan Diebels
Mathematical models describing the behavior of viscoelastic materials are often based on evolution equations that measure the change in stress depending on its material parameters such as stiffness, viscosity or relaxation time.
Numerical Analysis Numerical Analysis 34A55, 74D05, 74P10
2 code implementations • 28 Aug 2020 • Vijit Kanjilal, Alankar Dutta, Prateek Sharma
Recently Gronke & Oh, based on 3D hydrodynamic simulations, showed that with efficient radiative cooling of the mixed gas in the turbulent boundary layer, cold clouds can continuously grow and entrain mass from the diffuse background.
Astrophysics of Galaxies Fluid Dynamics
1 code implementation • 12 Nov 2019 • Prateek Sharma, JCS Kadupitiya, Vikram Jadhao
We introduce and develop a new probability model of constrained preemptions that is based on a large scale empirical study of over 1, 500 VM preemptions.
Distributed, Parallel, and Cluster Computing Systems and Control Systems and Control
no code implementations • 2 Mar 2016 • Naveen Yadav, Dipanjan Mukherjee, Prateek Sharma, Biman B. Nath
For realistic cluster sizes, we find that the bubble remains overpressured only if, for a given $n_{g0}$, $N_{\rm OB}$ is sufficiently large.
High Energy Astrophysical Phenomena Astrophysics of Galaxies