Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
To meet the demand for more powerful high-performance shared-memory servers, multiprocessor systems must incorporate efficient and scalable cache coherence protocols, such as thos...
Future CMPs will combine many simple cores with deep cache hierarchies. With more cores, cache resources per core are fewer, and must be shared carefully to avoid poor utilization...
Junli Gu, Steven S. Lumetta, Rakesh Kumar, Yihe Su...
Numerous data center services exhibit low average utilization leading to poor energy efficiency. Although CPU voltage and frequency scaling historically has been an effective mea...
Energy efficiency and power capping remain growing concerns in server systems. Online applications continue to evolve with new features and dynamic clientdirected processing, res...
Kai Shen, Arrvindh Shriraman, Sandhya Dwarkadas, X...