Education
Ph.D., Computer Science
Georgia Institute of Technology, 2022
Advisor: Dr. Vivek Sarkar
Thesis: Optimized Scheduling and Resource Allocation for Parallel Architectures
Bachelor’s degree in Computer Engineering
University of Pune, 2012
Publications
GPU Subwarp Interleaving, HPCA 2022
S.Damani, M.Stephenson, R.Rangan, D.R.Johnson, R.Kulkarni, S.W.Keckler
Memory Access Scheduling to Reduce Thread Migrations, CC 2022
S.Damani, P.Barua, and V.Sarkar
Speculative reconvergence for improved SIMT efficiency, CGO 2020
S.Damani, D.R.Johnson, M.Stephenson, S.W.Keckler, E.Yan, M.McKeown, O.Giroux
Common Subexpression Convergence, LCPC 2019
S.Damani and V.Sarkar
Talks
MLIR Tutorial, MLIR4HPC@LCPC 2019
Jacques Pienaar and Sana Damani
Patents
Techniques for divergent thread group execution scheduling
S. Damani, M. Stephenson, R. Rangan, D.R. Johnson, R. Kulkarni
Publication Date: 01/27/2022
Convergence among concurrently executing threads
D. Johnson, J. Choquette, O. Giroux, M. McKeown, M.W. Stephenson, S. Damani
Publication Date: 03/12/2020
Teaching
Experience
Co-instructor
Parallelizing Compilers with Dr. Vivek Sarkar
Georgia Institute of Technology, Fall 2020
Teaching assistant
GPU Architecture with Dr. Sudhakar Yalamanchili
Georgia Institute of Technology, Spring 2018
Work
Experience
Graduate Research Assistant, 2017-2022
Georgia Institute of Technology
Graduate Intern, Summer 2018/2020/2021
Architecture Research Group, Nvidia
Graduate Intern, Summer 2019
TensorFlow Team, Intel
Senior System Software Engineer, 2012-2017
GPU Compiler Team, Nvidia