Transforming Memory Systems: Optimizing for Client Value on Emerging Workloads Conference Paper

abstract

• Computing systems are increasingly being transformed to better satisfy the demands of cloud computing, Big Data, and deep, sophisticated analytics applications. These applications are driving an explosion in volume of data, acceleration of the rate at which this data must be consumed, and an increase in the diversity of sources of data. Memory system architectures and designs are perhaps most affected by these changes in computing applications. The disruptive trends resulting from these new application spaces lead to significant capacity, power, and cost pressures on computing systems. These trends will lead to changes in traditional memory technologies and memory systems and represent an opportunity of new memory technologies and organizations. Storage class memory is particularly suited to a significant set of these application spaces. 2012 IEEE.

name of conference

• Proceedings of Technical Program of 2012 VLSI Technology, System and Application

authors

• Nowka, Kevin

published proceedings

• Proceedings of Technical Program of 2012 VLSI Technology, System and Application

author list (cited authors)

• Nowka, K. J.

citation count

• 0

complete list of authors

• Nowka, Kevin J

publication date

• April 2012

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• International Symposium on VLSI Technology, Systems, and Applications, Proceedings  Journal

keywords

• 46 Information And Computing Sciences
• 4606 Distributed Computing And Systems Software

Digital Object Identifier (DOI)

• 10.1109/vlsi-tsa.2012.6210105

International Standard Book Number (ISBN) 13

• 9781457720840

start page

• 1

end page

• 2

URL

• http://dx.doi.org/10.1109/vlsi-tsa.2012.6210105