Accelerating Strassen-Winograd's matrix multiplication algorithm on GPUs. - Pai-Wei Lai; Humayun Arafat; Venmugil Elango; Ponnuswamy Sadayappan (HiPC, 2013)

Beyond reuse distance analysis: Dynamic analysis for characterization of data locality potential. - Naznin Fauzia; Venmugil Elango; Mahesh Ravishankar; J. Ramanujam; Fabrice Rastello; Atanas Rountev; Louis-Noël Pouchet; P. Sadayappan (ACM Trans. Archit. Code Optim., 2013)

On characterizing the data movement complexity of computational DAGs for parallel execution. - Venmugil Elango; Fabrice Rastello; Louis-Noël Pouchet; J. Ramanujam; P. Sadayappan (SPAA, 2014)

Spatial adaptive sampling in multiscale simulation. - Bertrand Rouet-Leduc; Kipton Barros; Emmanuel Cieren; Venmugil Elango; Christoph Junghans; Turab Lookman; Jamaludin Mohd-Yusof; Robert S. Pavel; Axel Y. Rivera; Dominic Roehm; Allen L. McPherson; Timothy C. Germann (Comput. Phys. Commun., 2014)

On Using the Roofline Model with Lower Bounds on Data Movement. - Venmugil Elango; Naser Sedaghati; Fabrice Rastello; Louis-Noël Pouchet; J. Ramanujam; Radu Teodorescu; P. Sadayappan (ACM Trans. Archit. Code Optim., 2014)

On Characterizing the Data Access Complexity of Programs. - Venmugil Elango; Fabrice Rastello; Louis-Noël Pouchet; J. Ramanujam; P. Sadayappan (POPL, 2015)

Distributed memory code generation for mixed Irregular/Regular computations. - Mahesh Ravishankar; Roshan Dathathri; Venmugil Elango; Louis-Noël Pouchet; J. Ramanujam; Atanas Rountev; P. Sadayappan (PPoPP, 2015)

Diesel: DSL for linear algebra and neural net computations on GPUs. - Venmugil Elango; Norm Rubin; Mahesh Ravishankar; Hariharan Sandanagobalane; Vinod Grover (MAPL@PLDI, 2018)

Pase: Parallelization Strategies for Efficient DNN Training. - Venmugil Elango (IPDPS, 2021)

With Shared Microexponents, A Little Shifting Goes a Long Way. - Bita Darvish Rouhani; Ritchie Zhao; Venmugil Elango; Rasoul Shafipour; Mathew Hall; Maral Mesmakhosroshahi; Ankit More; Levi Melnick; Maximilian Golub; Girish Varatkar; Lai Shao; Gaurav Kolhe; et al. (ISCA, 2023)

Shared Microexponents: A Little Shifting Goes a Long Way. - Bita Rouhani; Ritchie Zhao; Venmugil Elango; Rasoul Shafipour; Mathew Hall; Maral Mesmakhosroshahi; Ankit More; Levi Melnick; Maximilian Golub; Girish Varatkar; Lei Shao; Gaurav Kolhe; et al. (CoRR, 2023)

Microscaling Data Formats for Deep Learning. - Bita Darvish Rouhani; Ritchie Zhao; Ankit More; Mathew Hall; Alireza Khodamoradi; Summer Deng; Dhruv Choudhary; Marius Cornea; Eric Dellinger; Kristof Denolf; Dusan Stosic; Venmugil Elango; et al. (CoRR, 2023)

ATTENTION2D: Communication Efficient Distributed Self-Attention Mechanism. - Venmugil Elango (CoRR, 2025)