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DTSTAMP:20200129T163557Z
LOCATION:704-706
DTSTART;TZID=America/Denver:20191118T090500
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UID:submissions.supercomputing.org_SC19_sess120_ws_scc106@linklings.com
SUMMARY:Scalability and Data Security: Deep Learning with Health Data on F
 uture HPC Platforms
DESCRIPTION:Workshop\n\nScalability and Data Security: Deep Learning with 
 Health Data on Future HPC Platforms\n\nTourassi\n\nPerforming health data 
 analytics at scale presents several challenges to classic HPC environments
 . Datasets contain personal health information (PHI) and are updated regul
 arly, complicating data access on publicly accessible HPC systems. Moreove
 r, the diverse group of tasks and models – ranging from neural networks fo
 r information extraction to knowledge bases for predictive modeling – have
  widely varying scales, hardware preferences, and software requirements. B
 oth exascale systems and cloud-based environments have the opportunity to 
 play important roles by addressing data security and performance portabili
 ty. Cloud platforms provide out-of-the-box solutions for maintaining data 
 security, while recent work has extended secure computing environments to 
 systems like OLCF Summit. In this talk I will discuss how we are handling 
 the need for scalable HPC resources with the data security requirements in
 herent in working with personal health information, in the context of the 
 interagency partnership between the Department of Energy and the National 
 Cancer Institute. As part of this partnership, we are developing state-of-
 the-art deep learning models to perform information extraction from cancer
  pathology reports for near real-time cancer incidence reporting. Our appr
 oach to addressing the patient privacy complexities involves integral role
 s for both traditional HPC resources and cloud-like platforms, playing to 
 the relative strengths of both modalities.\n\nTag: Workshop Reg Pass, Clou
 ds and Distributed Computing, Interoperability\n\nRegistration Category: W
 orkshop Reg Pass, Clouds and Distributed Computing, Interoperability
URL:https://sc19.supercomputing.org/presentation/?id=ws_scc106&sess=sess12
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