Aravind Kalaiah

According to our database, Aravind Kalaiah authored at least 10 papers between 2000 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Differentiable NAS Framework and Application to Ads CTR Prediction.

Ravi Krishna, Aravind Kalaiah, Bichen Wu, Maxim Naumov, Dheevatsa Mudigere, Misha Smelyanskiy, Kurt Keutzer

CoRR, 2021

First-Generation Inference Accelerator Deployment at Facebook.

Michael J. Anderson, Benny Chen, Stephen Chen, Summer Deng, Jordan Fix, Michael Gschwind, Aravind Kalaiah, Changkyu Kim, Jaewon Lee, Jason Liang, Haixin Liu, Yinghai Lu, Jack Montgomery, Arun Moorthy, Nadathur Satish, Sam Naghshineh, Avinash Nayak, Jongsoo Park, Chris Petersen, Martin Schatz, Narayanan Sundaram, Bangsheng Tang, Peter Tang, Amy Yang, Jiecao Yu, Hector Yuen, Ying Zhang, Aravind Anbudurai, Vandana Balan, Harsha Bojja, Joe Boyd, Matthew Breitbach, Claudio Caldato, Anna Calvo, Garret Catron, Sneh Chandwani, Panos Christeas, Brad Cottel, Brian Coutinho, Arun Dalli, Abhishek Dhanotia, Oniel Duncan, Roman Dzhabarov, Simon Elmir, Chunli Fu, Wenyin Fu, Michael Fulthorp, Adi Gangidi, Nick Gibson, Sean Gordon, Beatriz Padilla Hernandez, Daniel Ho, Yu-Cheng Huang, Olof Johansson, Shishir Juluri, et al.

CoRR, 2021

CoSA: Scheduling by Constrained Optimization for Spatial Accelerators.

Qijing Huang, Aravind Kalaiah, Minwoo Kang, James Demmel, Grace Dinh, John Wawrzynek, Thomas Norell, Yakun Sophia Shao

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2018

Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications.

Jongsoo Park, Maxim Naumov, Protonu Basu, Summer Deng, Aravind Kalaiah, Daya Shanker Khudia, James Law, Parth Malani, Andrey Malevich, Nadathur Satish, Juan Miguel Pino, Martin Schatz, Alexander Sidorov, Viswanath Sivakumar, Andrew Tulloch, Xiaodong Wang, Yiming Wu, Hector Yuen, Utku Diril, Dmytro Dzhulgakov, Kim M. Hazelwood, Bill Jia, Yangqing Jia, Lin Qiao, Vijay Rao, Nadav Rotem, Sungjoo Yoo, Mikhail Smelyanskiy

CoRR, 2018

2005

Visual Data Representation using Context-Aware Samples.

Aravind Kalaiah

PhD thesis, 2005

Statistical geometry representation for efficient transmission and rendering.

Aravind Kalaiah, Amitabh Varshney

ACM Trans. Graph., 2005

2003

Modeling and Rendering of Points with Local Geometry.

Aravind Kalaiah, Amitabh Varshney

IEEE Trans. Vis. Comput. Graph., 2003

Statistical Point Geometry.

Aravind Kalaiah, Amitabh Varshney

Proceedings of the First Eurographics Symposium on Geometry Processing, 2003

2001

Differential Point Rendering.

Aravind Kalaiah, Amitabh Varshney

Proceedings of the 12th Eurographics Workshop on Rendering Techniques, 2001

2000

Efficiently computing and updating triangle strips for real-time rendering.

Jihad El-Sana, Francine Evans, Aravind Kalaiah, Amitabh Varshney, Steven Skiena, Elvir Azanli

Comput. Aided Des., 2000