Aravind Vasudevan

Static task partitioning techniques for parallel applications on heterogeneous processors

Aravind Vasudevan, Aravind Vasudevan, 2016 .

Parallel Multi Channel convolution using General Matrix Multiplication

David Gregg, Andrew Anderson, Aravind Vasudevan, 2017, 2017 IEEE 28th International Conference on Application-specific Systems, Architectures and Processors (ASAP).

High-Performance Low-Memory Lowering: GEMM-based Algorithms for DNN Convolution

David Gregg, Andrew Anderson, Aravind Vasudevan, 2020, 2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).

Heterogeneous Multiconstraint Application Partitioner (HMAP)

David Gregg, Avinash Malik, Servesh Muralidharan, 2013, 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications.

Low-memory GEMM-based convolution algorithms for deep neural networks pdf

David Gregg, Andrew Anderson, Aravind Vasudevan, 2017, ArXiv.

A verifiedwireless safety critical hard real-time design

Holger Hermanns, Aravind Vasudevan, Jens Peter, 2011, 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks.