ORCID Profile
0000-0002-3655-2873
Current Organisation
University of Oxford
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Publisher: IEEE
Date: 10-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2015
Publisher: ACM
Date: 07-08-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2014
DOI: 10.1109/MM.2014.61
Publisher: ACM
Date: 17-08-2015
Publisher: ACM
Date: 07-08-2018
Publisher: IEEE
Date: 04-2015
Publisher: The Royal Society
Date: 06-03-2016
Abstract: Computer architectures have entered a watershed as the quantity of network data generated by user applications exceeds the data-processing capacity of any in idual computer end-system. It will become impossible to scale existing computer systems while a gap grows between the quantity of networked data and the capacity for per system data processing. Despite this, the growth in demand in both task variety and task complexity continues unabated. Networked computer systems provide a fertile environment in which new applications develop. As networked computer systems become akin to infrastructure, any limitation upon the growth in capacity and capabilities becomes an important constraint of concern to all computer users. Considering a networked computer system capable of processing terabits per second, as a benchmark for scalability, we critique the state of the art in commodity computing, and propose a wholesale reconsideration in the design of computer architectures and their attendant ecosystem. Our proposal seeks to reduce costs, save power and increase performance in a multi-scale approach that has potential application from nanoscale to data-centre-scale computers.
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Noa Zilberman.