Modeling Energy Consumption of Memory Systems

2015 ◽  
Author(s):  
Hirotaka Kawata ◽  
Gaku Nakagawa ◽  
Takahiro Hirofuchi ◽  
Ryousei Takano ◽  
Shuichi Oikawa
Keyword(s):  
Energy Consumption ◽  
Memory Systems

Saving Energy Consumption of Memory Systems by Voltage-Control Spintronics Memory (VoCSM)

2018 ◽  
Author(s):  
H. Yoda ◽  
Y. Ohsawa ◽  
Y. Kato ◽  
N. Shimomura ◽  
M. Shimizu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Voltage Control ◽  
Memory Systems ◽  
Saving Energy

From STT-MRAM to Voltage-Control Spintronics Memory (VoCSM) in Pursuit of Memory Systems with Lower Energy Consumption

2019 ◽  
Vol 24 (1) ◽  
pp. 107-111 ◽  
Author(s):  
H. Yoda ◽  
Y. Ohsawa ◽  
Y. Kato ◽  
N. Shimomura ◽  
M. Shimizu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Lower Energy ◽  
Voltage Control ◽  
Memory Systems

Selective dynamic serialization for reducing energy consumption in hardware transactional memory systems

2013 ◽  
Vol 68 (2) ◽  
pp. 914-934 ◽  
Author(s):  
Epifanio Gaona ◽  
J. Rubén Titos-Gil ◽  
Juan Fernández ◽  
Manuel E. Acacio
Keyword(s):  
Energy Consumption ◽  
Transactional Memory ◽  
Memory Systems ◽  
Hardware Transactional Memory ◽  
Reducing Energy

Language processing is not a race against time

2016 ◽  
Vol 39 ◽  
Author(s):  
Giosuè Baggio ◽  
Carmelo M. Vicario
Keyword(s):  
Information Processing ◽  
Human Brain ◽  
Language Processing ◽  
Cognitive Functions ◽  
Memory Systems ◽  
Language System ◽  
Moderating Factors

AbstractWe agree with Christiansen & Chater (C&C) that language processing and acquisition are tightly constrained by the limits of sensory and memory systems. However, the human brain supports a range of cognitive functions that mitigate the effects of information processing bottlenecks. The language system is partly organised around these moderating factors, not just around restrictions on storage and computation.

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