On the concept of simultaneous execution of multiple applications on hierarchically based cluster and the silicon operating system. - N. Venkateswaran 002; Vinoth Krishnan Elangovan; Karthik Ganesan 006; TP Ramnath Sai Sagar; Sriram Aananthakrishanan; Shreyas Ramalingam; Shyamsundar Gopalakrishnan; Madhavan Manivannan; Deepak Srinivasan; Viswanath Krishnamurthy; Karthik Chandrasekar 001; Viswanath Venkatesan; et al. (IPDPS, 2008)

Towards modeling and integrated design automation of supercomputing clusters (MIDAS). - Nagarajan Venkateswaran; Aravind Vasudevan; Balaji Subramaniam; Ravindhiran Mukundrajan; T. P. Ramnath Sai Sagar; Madhavan Manivannan; Sriram Murali; Vinoth Krishnan Elangovan (Comput. Sci. Res. Dev., 2009)

Custom Built Heterogeneous Multi-core Architectures (CUBEMACH): Breaking the conventions. - Nagarajan Venkateswaran; Karthikeyan P. Saravanan; Nachiappan Chidambaram Nachiappan; Aravind Vasudevan; Balaji Subramaniam; Ravindhiran Mukundrajan (IPDPS Workshops, 2010)

A verified wireless safety critical hard real-time design. - Hernan Baro Graf; Holger Hermanns; Juhi Kulshrestha; Jens Peter; Anjo Vahldiek; Aravind Vasudevan (WOWMOM, 2011)

Real-Time Sensor Signal Capture from a Harsh Environment. - Mark Purcell; Aravind Vasudevan; David Gregg (DS-RT, 2012)

Heterogeneous Multiconstraint Application Partitioner (HMAP). - Servesh Muralidharan; Aravind Vasudevan; Avinash Malik; David Gregg (TrustCom/ISPA/IUCC, 2013)

An improved simulated annealing heuristic for static partitioning of task graphs onto heterogeneous architectures. - Aravind Vasudevan; Avinash Malik; David Gregg (ICPADS, 2014)

Static task partitioning techniques for parallel applications on heterogeneous processors - Aravind Vasudevan (2016)

Parallel Multi Channel convolution using General Matrix Multiplication. - Aravind Vasudevan; Andrew Anderson 001; David Gregg (ASAP, 2017)

Mutual Inclusivity of the Critical Path and its Partial Schedule on Heterogeneous Systems. - Aravind Vasudevan; David Gregg (CoRR, 2017)

Low-memory GEMM-based convolution algorithms for deep neural networks. - Andrew Anderson 001; Aravind Vasudevan; Cormac Keane; David Gregg (CoRR, 2017)

High-Performance Low-Memory Lowering: GEMM-based Algorithms for DNN Convolution. - Andrew Anderson 001; Aravind Vasudevan; Cormac Keane; David Gregg (SBAC-PAD, 2020)