RAMP: resource-aware mapping for CGRAs. - Shail Dave; Mahesh Balasubramanian 001; Aviral Shrivastava (DAC, 2018)

LASER: A hardware/software approach to accelerate complicated loops on CGRAs. - Mahesh Balasubramanian 001; Shail Dave; Aviral Shrivastava; Reiley Jeyapaul (DATE, 2018)

URECA: Unified register file for CGRAs. - Shail Dave; Mahesh Balasubramanian 001; Aviral Shrivastava (DATE, 2018)

Optimizing the Union of Intersections LASSO (UoILASSO) and Vector Autoregressive (UoIVAR) Algorithms for Improved Statistical Estimation at Scale. - Mahesh Balasubramanian 001; Trevor D. Ruiz; Brandon Cook 001; Sharmodeep Bhattacharyya; Prabhat; Aviral Shrivastava; Kristofer E. Bouchard (CoRR, 2018)

Scaling of Union of Intersections for Inference of Granger Causal Networks from Observational Data. - Mahesh Balasubramanian 001; Trevor D. Ruiz; Brandon Cook 001; Prabhat; Sharmodeep Bhattacharyya; Aviral Shrivastava; Kristofer E. Bouchard (IPDPS, 2020)

Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models. - Trevor D. Ruiz; Sharmodeep Bhattacharyya; Mahesh Balasubramanian 001; Kristofer E. Bouchard (L4DC, 2020)

CRIMSON: Compute-Intensive Loop Acceleration by Randomized Iterative Modulo Scheduling and Optimized Mapping on CGRAs. - Mahesh Balasubramanian 001; Aviral Shrivastava (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

PathSeeker: A Fast Mapping Algorithm for CGRAs. - Mahesh Balasubramanian 001; Aviral Shrivastava (DATE, 2022)