Mahesh Balasubramanian - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 7 from 7

2020

CRIMSON: Compute-Intensive Loop Acceleration by Randomized Iterative Modulo Scheduling and Optimized Mapping on CGRAsMahesh Balasubramanian, Aviral Shrivastava. tcad, 39(11):3300-3310, 2020. [doi]

Scaling of Union of Intersections for Inference of Granger Causal Networks from Observational DataMahesh Balasubramanian, Trevor D. Ruiz, Brandon Cook 0001, Prabhat, Sharmodeep Bhattacharyya, Aviral Shrivastava, Kristofer E. Bouchard. ipps 2020: 264-273 [doi]

2018

LASER: A hardware/software approach to accelerate complicated loops on CGRAsMahesh Balasubramanian, Shail Dave, Aviral Shrivastava, Reiley Jeyapaul. date 2018: 1069-1074 [doi]

URECA: Unified register file for CGRAsShail Dave, Mahesh Balasubramanian, Aviral Shrivastava. date 2018: 1081-1086 [doi]

RAMP: resource-aware mapping for CGRAsShail Dave, Mahesh Balasubramanian, Aviral Shrivastava. dac 2018: [doi]

2005

Short-term electric power load forecasting based on cosine radial basis function neural networks: An experimental evaluationNicolaos B. Karayiannis, Mahesh Balasubramanian, Heidar A. Malki. ijis, 20(6):591-605, 2005. [doi]

2004

Short-term electric power load forecasting using feedforward neural networksHeidar A. Malki, Nicolaos B. Karayiannis, Mahesh Balasubramanian. es, 21(3):157-167, 2004. [doi]

Sign in or sign up to see more results.

runs on WebDSL