1397 search results - page 120 / 280 » Dynamic power management using machine learning |
139
Voted
INTEGRATION
2008
15 years 3 months ago
2008
Thermal gradients across the die are becoming increasingly prominent as we scale further down into the sub-nanometer regime. While temperature was never a primary concern, its non...
134
Voted
ICCAD
2003
IEEE
16 years 12 days ago
2003
IEEE
Energy consumption is an important performance parameter for portable and wireless embedded systems. However, energy consumption must be carefully balanced with real-time responsi...
129
Voted
KDD
2010
ACM
15 years 5 months ago
2010
ACM
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
123
Voted
DATE
2007
IEEE
15 years 9 months ago
2007
IEEE
Partitioning a memory into multiple blocks that can be independently accessed is a widely used technique to reduce its dynamic power. For embedded systems, its benefits can be ev...
153
click to vote
BMCBI
2010
14 years 10 months ago
2010
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...