Accelerating subsurface transport simulation on heterogeneous clusters. - Oreste Villa; Nitin Gawande; Antonino Tumeo (CLUSTER, 2013)

Power/Performance Trade-Offs of Small Batched LU Based Solvers on GPUs. - Oreste Villa; Massimiliano Fatica; Nitin Gawande; Antonino Tumeo (Euro-Par, 2013)

A Flexible CUDA LU-Based Solver for Small, Batched Linear Systems. - Antonino Tumeo; Nitin Gawande; Oreste Villa (Numerical Computations with GPUs, 2014)

Power and performance trade-offs for Space Time Adaptive Processing. - Nitin A. Gawande; Joseph B. Manzano; Antonino Tumeo; Nathan R. Tallent; Darren J. Kerbyson; Adolfy Hoisie (ASAP, 2015)

Algorithm and Architecture Independent Benchmarking with SEAK. - Nathan R. Tallent; Joseph B. Manzano; Nitin A. Gawande; Seunghwa Kang; Darren J. Kerbyson; Adolfy Hoisie; Joseph K. Cross (IPDPS, 2016)

Scaling Deep Learning Workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. - Nitin A. Gawande; Joshua B. Landwehr; Jeff A. Daily; Nathan R. Tallent; Abhinav Vishnu; Darren J. Kerbyson (IPDPS Workshops, 2017)

Evaluating On-Node GPU Interconnects for Deep Learning Workloads. - Nathan R. Tallent; Nitin A. Gawande; Charles Siegel; Abhinav Vishnu; Adolfy Hoisie (PMBS@SC, 2017)

Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. - Nitin A. Gawande; Jeff A. Daily; Charles Siegel; Nathan R. Tallent; Abhinav Vishnu (Future Gener. Comput. Syst., 2020)

EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. - Seher Acer; Ariful Azad; Erik G. Boman; Aydin Buluç; Karen D. Devine; S. M. Ferdous; Nitin Gawande; Sayan Ghosh; Mahantesh Halappanavar; Ananth Kalyanaraman; Arif Khan 005; Marco Minutoli; et al. (Int. J. High Perform. Comput. Appl., 2021)

Towards scaling community detection on distributed-memory heterogeneous systems. - Nitin Gawande; Sayan Ghosh; Mahantesh Halappanavar; Antonino Tumeo; Ananth Kalyanaraman (Parallel Comput., 2022)