Search Results for author: Prateek Sharma

Found 8 papers, 3 papers with code

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

1 code implementation25 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.

Taming Resource Heterogeneity In Distributed ML Training With Dynamic Batching

no code implementations20 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.

Scavenger: A Cloud Service for Optimizing Cost and Performance of ML Training

no code implementations12 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.

Molecular Dynamics Simulations on Cloud Computing and Machine Learning Platforms

no code implementations11 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.

BIG-bench Machine Learning Cloud Computing +1

A method for determining the parameters in a rheological model for viscoelastic materials by minimizing Tikhonov functionals

no code implementations26 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

Growth and structure of multiphase gas in the cloud-crushing problem with cooling

2 code implementations28 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

Modeling Constrained Preemption Dynamics Of Transient Cloud Servers

1 code implementation12 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

How multiple supernovae overlap to form superbubbles

no code implementations2 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

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