Publications in Scientific Journals:

M. Shafique, A. Ivanov, B. Vogel, J. Henkel:
"Scalable Power Management for On-Chip Systems with Malleable Applications";
IEEE Transactions on Computers, 65 (2016), 11; 3398 - 3412.

English abstract:
-We present a scalable Dynamic Power Management (DPM) schem e where malleable applications may change their
degree of parallelism at run time depending upon the workload and performance constraints. We employ a per-application predictive
power manager that autonomously controls the power states of the cores with the goal of energy efficiency. Furthermore, our DPM
allows the applications to lend their idle cores for a short time period to expedite other critical applications. In this way, it allows for
application-level scalability, while aiming at the overall system energy optimization. Compared to state-of-the-art centralized and
distributed power management approaches, we achieve up to 58 percent (average %15-20 percent) ED2P reduction.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.