DocumentCode :
2237266
Title :
Transforming memory systems: Optimizing for client value on emerging workloads
Author :
Nowka, Kevin J.
Author_Institution :
IBM Research - Austin, 11501 Burnet Road, Texas, USA
fYear :
2012
fDate :
23-25 April 2012
Firstpage :
1
Lastpage :
2
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.
Keywords :
Abstracts; Databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
VLSI Technology, Systems, and Applications (VLSI-TSA), 2012 International Symposium on
Conference_Location :
Hsinchu, Taiwan
ISSN :
1930-8868
Print_ISBN :
978-1-4577-2083-3
Type :
conf
DOI :
10.1109/VLSI-TSA.2012.6210105
Filename :
6210105
Link To Document :
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