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Aravind Kalaiah
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2020 – today
- 2021
- [c3]Qijing Huang
, Aravind Kalaiah, Minwoo Kang, James Demmel, Grace Dinh, John Wawrzynek, Thomas Norell, Yakun Sophia Shao:
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. ISCA 2021: 554-566 - [i4]Qijing Huang, Minwoo Kang, Grace Dinh, Thomas Norell, Aravind Kalaiah, James Demmel, John Wawrzynek, Yakun Sophia Shao:
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. CoRR abs/2105.01898 (2021) - [i3]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.:
First-Generation Inference Accelerator Deployment at Facebook. CoRR abs/2107.04140 (2021) - [i2]Ravi Krishna, Aravind Kalaiah, Bichen Wu, Maxim Naumov, Dheevatsa Mudigere, Misha Smelyanskiy, Kurt Keutzer:
Differentiable NAS Framework and Application to Ads CTR Prediction. CoRR abs/2110.14812 (2021)
2010 – 2019
- 2018
- [i1]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:
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications. CoRR abs/1811.09886 (2018)
2000 – 2009
- 2005
- [b1]Aravind Kalaiah:
Visual Data Representation using Context-Aware Samples. University of Maryland, College Park, MD, USA, 2005 - [j3]Aravind Kalaiah, Amitabh Varshney
Statistical geometry representation for efficient transmission and rendering. ACM Trans. Graph. 24(2): 348-373 (2005) - 2003
- [j2]Aravind Kalaiah, Amitabh Varshney
Modeling and Rendering of Points with Local Geometry. IEEE Trans. Vis. Comput. Graph. 9(1): 30-42 (2003) - [c2]Aravind Kalaiah, Amitabh Varshney:
Statistical Point Geometry. Symposium on Geometry Processing 2003: 107-115 - 2001
- [c1]Aravind Kalaiah, Amitabh Varshney
Differential Point Rendering. Rendering Techniques 2001: 139-150 - 2000
- [j1]Jihad El-Sana, Francine Evans, Aravind Kalaiah, Amitabh Varshney
Efficiently computing and updating triangle strips for real-time rendering. Comput. Aided Des. 32(13): 753-772 (2000)
Coauthor Index
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