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, ...
In the Artemis project [13], design space exploration of embedded systems is provided by modeling application behavior and architectural performance constraints separately. Mappin...
— General purpose architectures are designed to offer average high performance regardless of the particular application that is being run. Performance and power inefficiencies a...
Abstract. The emergence of computing environments where smart devices are embedded pervasively in the physical world has made possible many interesting applications and has trigger...
It has long been known that a fixed ordering of optimization phases will not produce the best code for every application. One approach for addressing this phase ordering problem ...
Prasad Kulkarni, Stephen Hines, Jason Hiser, David...