Optimizing geometric multigrid method computation using a DSL approach. - Vinay Vasista; Kumudha Narasimhan; Siddharth Bhat; Uday Bondhugula (SC, 2017)

Towards Cross-Platform Performance Portability of DNN Models using SYCL. - Mehdi Goli 001; Kumudha Narasimhan; Ruymán Reyes; Ben Tracy; Daniel Soutar; Svetlozar Georgiev; Evarist M. Fomenko; Eugene Chereshnev (P3HPC@SC, 2020)

A practical tile size selection model for affine loop nests. - Kumudha Narasimhan; Aravind Acharya; Abhinav Baid; Uday Bondhugula (ICS, 2021)

Towards performance portability of AI models using SYCL-DNN. - Muhammad Tanvir; Kumudha Narasimhan; Mehdi Goli 001; Ouadie El Farouki; Svetlozar Georgiev; Isaac Ault (IWOCL, 2022)

Towards performance portability of AI graphs using SYCL. - Kumudha Narasimhan; Ouadie El Farouki; Mehdi Goli 001; Muhammad Tanvir; Svetlozar Georgiev; Isaac Ault (P3HPC@SC, 2022)

A Performance Analysis of Leading Many-Core Technologies for Cellular Automata Execution. - Alessio De Rango; Donato D'Ambrosio; Alfonso Senatore; Giuseppe Mendicino; Kumudha Narasimhan; Mehdi Goli 001; Rod Burns (Euro-Par Workshops (1), 2023)

Technical Talk: A SYCL Extension for User-Driven Online Kernel Fusion. - Victor Perez 001; Lukas Sommer; Victor Lomüller; Kumudha Narasimhan; Mehdi Goli 001 (IWOCL, 2023)

Accelerating Neural Networks Using Open Standard Software on RISC-V. - Kumudha Narasimhan; Mehdi Goli 001 (ISC Workshops, 2023)

Improving performance of SYCL applications on CPU architectures using LLVM-directed compilation flow. - Pietro Ghiglio; Uwe Dolinsky; Mehdi Goli 001; Kumudha Narasimhan (Concurr. Comput. Pract. Exp., 2023)

User-driven Online Kernel Fusion for SYCL. - Victor Perez 001; Lukas Sommer; Victor Lomüller; Kumudha Narasimhan; Mehdi Goli 001 (ACM Trans. Archit. Code Optim., 2023)

Programming Model Extensions for General-Purpose Processing-In-Memory. - Hyesun Hong; Lukas Sommer; Bongjun Kim; Mikhail Kashkarov; Kumudha Narasimhan; Ilya Veselov; Mehdi Goli 001; Jaeyeon Kim; Ruymán Reyes Castro; Hanwoong Jung (ISC, 2024)