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Exact(36)
We're always wrestling with questions of computational capability and data volumes, and it's driving our science.
Many industries today are faced with high data volumes and there is an understanding that "data is the new gold".
Globally distributed scientific experiments involve movement of massive data volumes and many collaborators performing distributed data analysis.
Addressing these demands of ever-growing data volumes and complexity requires game-changing advances in software, hardware, and algorithms.
Globus is our recommended data transfer tool because it is optimized for large data volumes, and it works on any platform.
These new methodologies go hand in hand with an exponential growth in data volumes and rates - petabyte scale data collections and terabyte/sec.
Similar(24)
The increase in data volume and complexity might plausibly result in less control.
The answer depends on your data volume, and when your volume changes you might want to dynamically adjust that.
More specifically, I am enthusiastic about scalable learning and inference algorithms to tackle large data volume and high model complexity.
Test compression architectures designed to reduce test data volume and test application time are discussed.
Large Test data volume and High power consumption are the main problems in Design for Testability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com