Scipediacontent: Scipediacontent moved page Draft Content 810623909 to Becker et al 2020a

2021-01-25T11:22:00Z

Scipediacontent moved page Draft Content 810623909 to Becker et al 2020a

Scipediacontent: Created page with " == Abstract == Research is increasingly becoming data-driven, and natural sciences are not an exception. In both biology and medicine, we are observing an exponential growth..."

2021-01-25T11:21:57Z

Created page with " == Abstract == Research is increasingly becoming data-driven, and natural sciences are not an exception. In both biology and medicine, we are observing an exponential growth..."

New page

== Abstract ==

Research is increasingly becoming data-driven, and natural sciences are not an exception. In both biology and medicine, we are observing an exponential growth of structured data collections from experiments and population studies, enabling us to gain novel insights that would otherwise not be possible. However, these growing data sets pose a challenge for existing compute infrastructures since data is outgrowing limits within compute. In this work, we present the application of a novel approach, Memory-Driven Computing (MDC), in the life sciences. MDC proposes a data-centric approach that has been designed for growing data sizes and provides a composable infrastructure for changing workloads. In particular, we show how a typical pipeline for genomics data processing can be accelerated, and application modifications required to exploit this novel architecture. Furthermore, we demonstrate how the isolated evaluation of individual tasks misses significant overheads of typical pipelines in genomics data processing.

== Original document ==

The different versions of the original document can be found in:

* [https://link.springer.com/content/pdf/10.1007%2F978-3-030-50743-5_17.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-030-50743-5_17.pdf]

* [http://link.springer.com/content/pdf/10.1007/978-3-030-50743-5_17 http://link.springer.com/content/pdf/10.1007/978-3-030-50743-5_17],
: [http://dx.doi.org/10.1007/978-3-030-50743-5_17 http://dx.doi.org/10.1007/978-3-030-50743-5_17] under the license http://www.springer.com/tdm

* [https://link.springer.com/chapter/10.1007/978-3-030-50743-5_17 https://link.springer.com/chapter/10.1007/978-3-030-50743-5_17],
: [https://link.springer.com/content/pdf/10.1007%2F978-3-030-50743-5_17.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-030-50743-5_17.pdf],
: [https://academic.microsoft.com/#/detail/3035587886 https://academic.microsoft.com/#/detail/3035587886]

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Becker et al 2020a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 810623909 to Becker et al 2020a

Scipediacontent: Created page with " == Abstract == Research is increasingly becoming data-driven, and natural sciences are not an exception. In both biology and medicine, we are observing an exponential growth..."