Learning-based runtime management of energy-efficient and reliable many-core systems


Shafik, Rishad Ahmed, Das, Anup K., Yang, Sheng, Merrett, Geoff V. and Al-Hashimi, Bashir (2014) Learning-based runtime management of energy-efficient and reliable many-core systems At ESWEEK Workshop on Compiler Assisted SoC Assembly (CASA), India. 1 pp.

Download

[img] PDF shafik-casa-2014.pdf - Accepted Manuscript
Download (383kB)

Description/Abstract

This paper highlights and demonstrates our research works to date addressing the energy-efficiency and reliability challenges of many-core systems through intelligent runtime management algorithms. The algorithms are implemented through cross-layer interactions between the three layers: application, runtime and hardware, forming our core theme of working together. The annotated application tasks communicate the performance, energy or reliability requirements to the runtime. With such requirements, the runtime exercises the hardware through various control knobs and gets the feedback of these controls through the performance monitors. The aim is to learn the best possible hardware controls during runtime to achieve energy-efficiency and improved reliability, while meeting the specified application requirements.

Item Type: Conference or Workshop Item (Other)
Venue - Dates: ESWEEK Workshop on Compiler Assisted SoC Assembly (CASA), India, 2014-10-16
Related URLs:
Subjects: Q Science > QA Mathematics > QA76 Computer software
Organisations: Electronic & Software Systems
ePrint ID: 371899
Date :
Date Event
16 October 2014Published
Date Deposited: 21 Nov 2014 11:32
Last Modified: 22 Feb 2017 11:13
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/371899

Actions (login required)

View Item View Item