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Smeet Chheda
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2020 – today
- 2024
- [j1]Eva Siegmann
, Robert J. Harrison, David Carlson, Smeet Chheda, Anthony Curtis, Firat Coskun, Raul Gonzalez, Daniel G. Wood, Nikolay A. Simakov:
First Impressions of the Sapphire Rapids Processor with HBM for Scientific Workloads. SN Comput. Sci. 5(5): 623 (2024) - [i4]Shashank Subramanian, Ermal Rrapaj, Peter Harrington, Smeet Chheda, Steven Farrell, Brian Austin, Samuel Williams, Nicholas J. Wright, Wahid Bhimji:
Comprehensive Performance Modeling and System Design Insights for Foundation Models. CoRR abs/2410.00273 (2024) - 2023
- [c4]Smeet Chheda
Performance Study on CPU-based Machine Learning with PyTorch. HPC Asia Workshops 2023: 24-34 - [c3]Catherine Feldman
A Further Study of Linux Kernel Hugepages on A64FX with FLASH, an Astrophysical Simulation Code. PEARC 2023: 186-195 - [i3]Catherine Feldman, Smeet Chheda, Alan C. Calder, Eva Siegmann, John Dey, Tony Curtis, Robert J. Harrison:
A Further Study of Linux Kernel Hugepages on A64FX with FLASH, an Astrophysical Simulation Code. CoRR abs/2309.04652 (2023) - [i2]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:
Ookami: An A64FX Computing Resource. CoRR abs/2311.04259 (2023) - 2022
- [c2]Alan C. Calder
On Using Linux Kernel Huge Pages with FLASH, an Astrophysical Simulation Code. CLUSTER 2022: 539-544 - [c1]Alok Mishra, Smeet Chheda, Carlos Soto, Abid Muslim Malik, Meifeng Lin
COMPOFF: A Compiler Cost model using Machine Learning to predict the Cost of OpenMP Offloading. IPDPS Workshops 2022: 391-400 - [i1]Alan C. Calder, Catherine Feldman, Eva Siegmann, John Dey, Anthony Curtis, Smeet Chheda, Robert J. Harrison:
On Using Linux Kernel Huge Pages with FLASH, an Astrophysical Simulation Code. CoRR abs/2207.13685 (2022)
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last updated on 2024-11-06 21:30 CET by the dblp team
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