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)

Differential Point Rendering. - Aravind Kalaiah; Amitabh Varshney (Rendering Techniques, 2001)

Statistical Point Geometry. - Aravind Kalaiah; Amitabh Varshney (Symposium on Geometry Processing, 2003)

Modeling and Rendering of Points with Local Geometry. - Aravind Kalaiah; Amitabh Varshney (IEEE Trans. Vis. Comput. Graph., 2003)

Statistical geometry representation for efficient transmission and rendering. - Aravind Kalaiah; Amitabh Varshney (ACM Trans. Graph., 2005)

Visual Data Representation using Context-Aware Samples. - Aravind Kalaiah (2005)

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; et al. (CoRR, 2018)

CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. - Qijing Huang 001; Aravind Kalaiah; Minwoo Kang; James Demmel; Grace Dinh; John Wawrzynek; Thomas Norell; Yakun Sophia Shao (ISCA, 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; et al. (CoRR, 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)