11.0 LUNCHTIME KEYNOTE SESSION

Time	Label	Presentation Title Authors
13:20	11.0.1	MEMORY DRIVEN COMPUTING TO REVOLUTIONIZE THE MEDICAL SCIENCES Author: Joachim Schultze, Director Platform for Single Cell Genomics and Epigenomics German Center for Neurodegenerative Diseases, DE Abstract As any other area of our lives, medicine is experiencing the digital revolution. We produce more and more quantitative data in medicine, and therefore, we need significantly more compute power and data storage capabilities in the near future. Yet, since medicine is inherently decentralized, current compute infrastructures are not build for that. Central cloud storage and centralized super computing infrastructures are not helpful in a discipline such as medicine that will produce data always at the edge. Here we completely need to rethink computing. What we require are distributed federated cloud solutions with sufficient memory at the edge to cope with the large sensor data that record many medical data of individual patients. Here memory-driven computing comes in as a perfect solution. Its potential to provide sufficiently large memory at the edge, where data is generated, yet its potential to connect these new devices to build distributed federated cloud solutions will be key to drive the digital revolution in medicine. I will provide our own efforts using memory driven computing towards this direction.
13:50		End of session

Time

Label

Presentation Title
Authors

13:20

11.0.1

MEMORY DRIVEN COMPUTING TO REVOLUTIONIZE THE MEDICAL SCIENCES
Author:
Joachim Schultze, Director Platform for Single Cell Genomics and Epigenomics German Center for Neurodegenerative Diseases, DE
Abstract
As any other area of our lives, medicine is experiencing the digital revolution. We produce more and more quantitative data in medicine, and therefore, we need significantly more compute power and data storage capabilities in the near future. Yet, since medicine is inherently decentralized, current compute infrastructures are not build for that. Central cloud storage and centralized super computing infrastructures are not helpful in a discipline such as medicine that will produce data always at the edge. Here we completely need to rethink computing. What we require are distributed federated cloud solutions with sufficient memory at the edge to cope with the large sensor data that record many medical data of individual patients. Here memory-driven computing comes in as a perfect solution. Its potential to provide sufficiently large memory at the edge, where data is generated, yet its potential to connect these new devices to build distributed federated cloud solutions will be key to drive the digital revolution in medicine. I will provide our own efforts using memory driven computing towards this direction.

13:50

End of session