( en | de | ru )

 

Disambiguation of "Garimella, Karthik"

Author of the publication

copydeleteadd this publication to your clipboard
F-LEMMA: Fast Learning-Based Energy Management for Multi-/Many-Core Processors.

, , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (2): 616-629 (February 2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Karthik Arumugam

Kiran Garimella

Karthik Gururaj

Karthik Narasimhan

Karthik Baddam

 

Other publications of authors with the same name

F-LEMMA: Fast Learning-Based Energy Management for Multi-/Many-Core Processors., , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (2): 616-629 (February 2023)Attacking Vision-based Perception in End-to-End Autonomous Driving Models., , , , , and . CoRR, (2019)Orion: A Fully Homomorphic Encryption Compiler for Private Deep Neural Network Inference., , and . CoRR, (2023)F-LEMMA: Fast Learning-based Energy Management for Multi-/Many-core Processors., , , , and . MLCAD, page 43-48. ACM, (2020)Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning., , and . CoRR, (2021)Characterizing and Optimizing End-to-End Systems for Private Inference., , , , and . ASPLOS (3), page 89-104. ACM, (2023)CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale., , , , and . CoRR, (2021)Characterizing and Optimizing End-to-End Systems for Private Inference., , , , and . CoRR, (2022)Attacking vision-based perception in end-to-end autonomous driving models., , , , , and . J. Syst. Archit., (2020)Towards Fast and Scalable Private Inference., , , , and . CF, page 322-328. ACM, (2023)