Nipun Kwatra

Orcid: 0000-0003-0354-6204

According to our database1, Nipun Kwatra authored at least 32 papers between 2004 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Accuracy is Not All You Need.
CoRR, 2024

Metron: Holistic Performance Evaluation Framework for LLM Inference Systems.
CoRR, 2024

Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve.
Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

VIDUR: A Large-Scale Simulation Framework for LLM Inference.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Just-In-Time Checkpointing: Low Cost Error Recovery from Deep Learning Training Failures.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023
Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule.
J. Mach. Learn. Res., 2023

SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills.
CoRR, 2023

"Can't Take the Pressure?": Examining the Challenges of Blood Pressure Estimation via Pulse Wave Analysis.
CoRR, 2023

Towards Intermediated Workflows for Hybrid Telemedicine.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Towards Automating Retinoscopy for Refractive Error Diagnosis.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Distance Learner: Incorporating Manifold Prior to Model Training.
CoRR, 2022

Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads.
CoRR, 2022

Varuna: scalable, low-cost training of massive deep learning models.
Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022

Keratoconus Classifier for Smartphone-based Corneal Topographer.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
SmartKC: Smartphone-based Corneal Topographer for Keratoconus Detection.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

LRTuner: A Learning Rate Tuner for Deep Neural Networks.
CoRR, 2021

RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels.
CoRR, 2020

Unsupervised Clustering using Pseudo-semi-supervised Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Balancing efficiency and fairness in heterogeneous GPU clusters for deep learning.
Proceedings of the EuroSys '20: Fifteenth EuroSys Conference 2020, 2020

2018
Gandiva: Introspective Cluster Scheduling for Deep Learning.
Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

2011
Practical methods for simulation of compressible flow and structure interactions.
PhD thesis, 2011

Numerically stable fluid-structure interactions between compressible flow and solid structures.
J. Comput. Phys., 2011

Asynchronous Evolution for Fully-Implicit and Semi-Implicit Time Integration.
Comput. Graph. Forum, 2011

2010
Fluid Simulation with Articulated Bodies.
IEEE Trans. Vis. Comput. Graph., 2010

Practical Animation of Compressible Flow for ShockWaves and Related Phenomena.
Proceedings of the 2010 Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2010

2009
A method for avoiding the acoustic time step restriction in compressible flow.
J. Comput. Phys., 2009

2008
Two-Way Coupled SPH and Particle Level Set Fluid Simulation.
IEEE Trans. Vis. Comput. Graph., 2008

2007
Texturing Fluids.
IEEE Trans. Vis. Comput. Graph., 2007

2006
Texturing fluids.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2006

2005
Texture optimization for example-based synthesis.
ACM Trans. Graph., 2005

2004
A Framework for Activity Recognition and Detection of Unusual Activities.
Proceedings of the ICVGIP 2004, 2004


  Loading...