On Using Linux Kernel Huge Pages with FLASH, an Astrophysical Simulation Code. - Alan C. Calder; Catherine Feldman; Eva Siegmann; John Dey; Anthony Curtis; Smeet Chheda; Robert J. Harrison (CLUSTER, 2022)

COMPOFF: A Compiler Cost model using Machine Learning to predict the Cost of OpenMP Offloading. - Alok Mishra 002; Smeet Chheda; Carlos Soto 003; Abid Muslim Malik; Meifeng Lin; Barbara M. Chapman (IPDPS Workshops, 2022)

Performance Study on CPU-based Machine Learning with PyTorch. - Smeet Chheda; Anthony Curtis; Eva Siegmann; Barbara M. Chapman (HPC Asia Workshops, 2023)

A Further Study of Linux Kernel Hugepages on A64FX with FLASH, an Astrophysical Simulation Code. - Catherine Feldman; Smeet Chheda; Alan C. Calder; Eva Siegmann; John Dey; Tony Curtis; Robert J. Harrison (PEARC, 2023)

Ookami: An A64FX Computing Resource. - Alan C. Calder; Eva Siegmann; Catherine Feldman; Smeet Chheda; Dennis C. Smolarski; F. Douglas Swesty; Anthony Curtis; John Dey; David Carlson 002; Benjamin Michalowicz; Robert J. Harrison (CoRR, 2023)

Evaluating Tuning Opportunities of the LLVM/OpenMP Runtime. - Smeet Chheda; Gaurav Verma; Shilei Tian; Barbara M. Chapman; Johannes Doerfert (SC Workshops, 2024)

Comprehensive Performance Modeling and System Design Insights for Foundation Models. - Shashank Subramanian; Ermal Rrapaj; Peter Harrington; Smeet Chheda; Steven Farrell; Brian Austin; Samuel Williams 001; Nicholas J. Wright; Wahid Bhimji (SC Workshops, 2024)

First Impressions of the Sapphire Rapids Processor with HBM for Scientific Workloads. - Eva Siegmann; Robert J. Harrison; David Carlson 002; Smeet Chheda; Anthony Curtis; Firat Coskun; Raul Gonzalez; Daniel G. Wood; Nikolay A. Simakov (SN Comput. Sci., 2024)

The AmpereOne A192-32X in Perspective: Benchmarking a New Standard. - David Carlson 002; Nikolay Simakov; Rodrigo Ristow Hadlich; Anthony Curtis; Joshua Ezekiel Martin; Gaurav Verma; Smeet Chheda; Firat Coskun; Raul Gonzalez; Daniel G. Wood; Feng Zhang; Robert J. Harrison; et al. (HPC Asia Workshops, 2025)