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Participants: RPI - Xu, Ji , Carothers, and Shephard Mass General Hospital – Kalra and Liu

A 4 -year $2.6 million grant from the National Institute of Biomedical Imaging and Bioengineering ( NIBIB), to perform “ real-time ” CT imaging dose calculations (2012 – 2016). Participants: RPI - Xu, Ji , Carothers, and Shephard Mass General Hospital – Kalra and Liu

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Participants: RPI - Xu, Ji , Carothers, and Shephard Mass General Hospital – Kalra and Liu

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  1. A 4-year $2.6 million grant from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), to perform “real-time” CT imaging dose calculations (2012 – 2016) • Participants: • RPI - Xu, Ji, Carothers, and Shephard • Mass General Hospital – Kalra and Liu • GE Global Research – FitzGerald • LANL - Brown

  2. Introduction • Monte Carlo radiation computing is the “gold standard”, but time-consuming • Traditional parallel schemes use CPUs • Multiprocessing • multithreading • Hardware accelerators are emerging • GPU • Coprocessor

  3. Exa-scale HPC depends on “hardware accelerators” (Among Top 10 supercomputer as of June 17, 2013)

  4. “Stream Processors” GPU offers: - Massive data-parallel computing power - Cost and energy efficiency - Flexible programming architecture (CUDA) Single Instruction, Multiple Threads (SIMT)

  5. Preliminary Clinical Results • CT images converted to voxelized phantom • Patient CT imaging dose calculated by ARCHER • - 1 GPU: 7.7 seconds • - 6 GPUs: 1.4 seconds – real-time speed

  6. DEMO ARCHER in 4s and GPU (12 HT) in 40s

  7. Long-term Vision: ARCHER - A Testbed (Accelerated Radiation-transport Computations in Heterogeneous EnviRonments) www.archer-mc.com

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