Little is known about how developers think about design during code modification tasks or how experienced developers' design knowledge helps them work more effectively. We pe...
Thomas D. LaToza, David Garlan, James D. Herbsleb,...
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, ...
Software has spent the bounty of Moore’s law by solving harder problems and exploiting abstractions, such as highlevel languages, virtual machine technology, binary rewritdynami...
Jungwoo Ha, Matthew Arnold, Stephen M. Blackburn, ...
This paper describes the architecture and implementation of a high-speed decompression engine for embedded processors. The engine is targeted to processors where embedded programs...
We present techniques for estimating switching activity and power consumption in register-transfer level (RTL) circuits. Previous work on this topic has ignored the presence of gl...