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, ...
It has recently become clear that power management is of critical importance in modern enterprise computing environments. The traditional drive for higher performance has influenc...
Power delivery, electricity consumption, and heat management are becoming key challenges in data center environments. Several past solutions have individually evaluated different ...
In this paper we propose the Merge framework, a general purpose programming model for heterogeneous multi-core systems. The Merge framework replaces current ad hoc approaches to p...
Michael D. Linderman, Jamison D. Collins, Hong Wan...
While parallelism and multi-cores are receiving much attention as a major scalability path, customization is another, orthogonal and complementary, scalability path which can targ...
Sami Yehia, Sylvain Girbal, Hugues Berry, Olivier ...