Sparse Matrices in Matlab*P: Design and Implementation. - Viral B. Shah; John R. Gilbert (HiPC, 2004)

High-Performance Graph Algorithms from Parallel Sparse Matrices. - John R. Gilbert; Steven P. Reinhardt; Viral B. Shah (PARA, 2006)

An Interactive Environment to Manipulate Large Graphs. - John R. Gilbert; Viral B. Shah; Steven P. Reinhardt (ICASSP (4), 2007)

Distributed Sparse Matrices for Very High Level Languages. - John R. Gilbert; Steven P. Reinhardt; Viral B. Shah (Adv. Comput., 2008)

A Unified Framework for Numerical and Combinatorial Computing. - John R. Gilbert; Steven P. Reinhardt; Viral B. Shah (Comput. Sci. Eng., 2008)

Implementing Sparse Matrices for Graph Algorithms. - Aydin Buluç; John R. Gilbert; Viral B. Shah (Graph Algorithms in the Language of Linear Algebra, 2011)

Some Graph Algorithms in an Array-Based Language. - Viral B. Shah; John R. Gilbert; Steve P. Reinhardt (Graph Algorithms in the Language of Linear Algebra, 2011)

Julia: A Fast Dynamic Language for Technical Computing - Jeff Bezanson; Stefan Karpinski; Viral B. Shah; Alan Edelman (CoRR, 2012)

Novel algebras for advanced analytics in Julia. - Viral B. Shah; Alan Edelman; Stefan Karpinski; Jeff Bezanson; Jeremy Kepner (HPEC, 2013)

Array Operators Using Multiple Dispatch: A design methodology for array implementations in dynamic languages. - Jeff Bezanson; Jiahao Chen 001; Stefan Karpinski; Viral B. Shah; Alan Edelman (ARRAY@PLDI, 2014)

Julia: A Fresh Approach to Numerical Computing. - Jeff Bezanson; Alan Edelman; Stefan Karpinski; Viral B. Shah (SIAM Rev., 2017)

Fashionable Modelling with Flux. - Michael Innes; Elliot Saba; Keno Fischer; Dhairya Gandhi; Marco Concetto Rudilosso; Neethu Mariya Joy; Tejan Karmali; Avik Pal; Viral B. Shah (CoRR, 2018)

Julia: dynamism and performance reconciled by design. - Jeff Bezanson; Jiahao Chen 001; Benjamin Chung; Stefan Karpinski; Viral B. Shah; Jan Vitek; Lionel Zoubritzky (Proc. ACM Program. Lang., 2018)

A Differentiable Programming System to Bridge Machine Learning and Scientific Computing. - Mike Innes; Alan Edelman; Keno Fischer; Christopher Rackauckas; Elliot Saba; Viral B. Shah; Will Tebbutt (CoRR, 2019)

Generalized Physics-Informed Learning through Language-Wide Differentiable Programming. - Christopher Rackauckas; Alan Edelman; Keno Fischer; Mike Innes; Elliot Saba; Viral B. Shah; Will Tebbutt (AAAI Spring Symposium: MLPS, 2020)

ACED: Accelerated Computational Electrochemical systems Discovery. - Rachel C. Kurchin; Eric Muckley; Lance Kavalsky; Vinay I. Hegde; Dhairya Gandhi; Xiaoyu Sun; Matthew Johnson; Alan Edelman; James E. Saal; Christopher Vincent Rackauckas; Bryce Meredig; Viral B. Shah; et al. (CoRR, 2020)

Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks. - Ranjan Anantharaman; Yingbo Ma; Shashi Gowda; Chris Laughman; Viral B. Shah; Alan Edelman; Christopher Rackauckas (AAAI Spring Symposium: MLPS, 2021)

Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics. - Avik Pal; Yingbo Ma; Viral B. Shah; Christopher Vincent Rackauckas (ICML, 2021)

High-performance symbolic-numerics via multiple dispatch. - Shashi Gowda; Yingbo Ma; Alessandro Cheli; Maja Gwózdz; Viral B. Shah; Alan Edelman; Christopher Rackauckas (ACM Commun. Comput. Algebra, 2021)

ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling. - Yingbo Ma; Shashi Gowda; Ranjan Anantharaman; Chris Laughman; Viral B. Shah; Christopher Rackauckas (CoRR, 2021)

Omniscape.jl: Software to compute omnidirectional landscape connectivity. - Vincent A. Landau; Viral B. Shah; Ranjan Anantharaman; Kimberly R. Hall (J. Open Source Softw., 2021)

Composing Modeling And Simulation With Machine Learning In Julia. - Chris Rackauckas; Maja Gwózdz; Anand Jain; Yingbo Ma; Francesco Martinuzzi; Utkarsh Rajput; Elliot Saba; Viral B. Shah; Ranjan Anantharaman; Alan Edelman; Shashi Gowda; Avik Pal; et al. (ANNSIM, 2022)