Abstract
Computer-aided simulations have a profound impact on day-to-day operations in medical centers. They represent one of the building blocks towards personalized medicine, which allows the treatment of patients and diseases on an individual basis. The computation requirements of these simulations can be, however, tremendous, posing unique challenges to software and hardware infrastructure. In this chapter we discuss recent computer hardware developments and evaluate them based on two representative application to understand how the new hardware can be used to reduce the execution time of these applications.
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Acknowledgments
Partial support for this work was provided by the National Science Foundation under award no. CRI-0958464. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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© 2014 Springer New York
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Gabriel, E., Smaoui, R., Venkatesan, V., Shah, S. (2014). Hardware and Performance Considerations for Computational Medicine. In: Garbey, M., Bass, B., Berceli, S., Collet, C., Cerveri, P. (eds) Computational Surgery and Dual Training. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8648-0_7
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DOI: https://doi.org/10.1007/978-1-4614-8648-0_7
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