Smeet Chheda

According to our database, Smeet Chheda authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The AmpereOne A192-32X in Perspective: Benchmarking a New Standard.

David Carlson, 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, Eva Siegmann

Proceedings of the 2025 International Conference on High Performance Computing in Asia-Pacific Region Workshops, 2025

2024

First Impressions of the Sapphire Rapids Processor with HBM for Scientific Workloads.

Eva Siegmann, Robert J. Harrison, David Carlson, Smeet Chheda, Anthony Curtis, Firat Coskun, Raul Gonzalez, Daniel G. Wood, Nikolay A. Simakov

SN Comput. Sci., June, 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, Nicholas J. Wright, Wahid Bhimji

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Evaluating Tuning Opportunities of the LLVM/OpenMP Runtime.

Smeet Chheda, Gaurav Verma, Shilei Tian, Barbara M. Chapman, Johannes Doerfert

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

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, Benjamin Michalowicz, Robert J. Harrison

CoRR, 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

Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Performance Study on CPU-based Machine Learning with PyTorch.

Smeet Chheda, Anthony Curtis, Eva Siegmann, Barbara M. Chapman

Proceedings of the HPC Asia 2023 Workshops, 2023

2022

COMPOFF: A Compiler Cost model using Machine Learning to predict the Cost of OpenMP Offloading.

Alok Mishra, Smeet Chheda, Carlos Soto, Abid Muslim Malik, Meifeng Lin, Barbara M. Chapman

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

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

Proceedings of the IEEE International Conference on Cluster Computing, 2022