Jul 20, 2020 · We present a comprehensive exploration of the use of GPU-based hardware acceleration for deep learning inference within the data reconstruction ...

We present a comprehensive exploration of the use of GPU-based hardware acceleration for deep learning inference within the data reconstruction workflow of high ...

2021. "GPU coprocessors as a service for deep learning inference in high energy physics." Machine Learning: Science and Technology, 2 (3).

Jul 20, 2020 · We present a comprehensive exploration of the use of GPU-based hardware acceleration for deep learning inference within the data reconstruction ...

We present a comprehensive exploration of the use of GPU-based hardware acceleration for deep learning inference within the data reconstruction workflow of high ...

This work explores a computing model in which heterogeneous computing with GPU coprocessors is made available as a web service, and integrates GPU ...

Dec 2, 2020 · • Computing projections for high energy physics (HEP) greatly outpace CPU growth, interest in ML rapidly increasing. • Coprocessors (GPU, FPGA, ...

We present a comprehensive exploration of the use of GPU-based hardware acceleration for deep learning inference within the data reconstruction workflow of high ...

Sep 6, 2024 · We present a comprehensive exploration of the use of GPU-based hardware acceleration for deep learning inference within the data reconstruction ...

Apr 23, 2021 · GPU coprocessors as a service for deep learning inference in high energy physics. Retrieved from https://par.nsf.gov/biblio/10256995. Machine ...