TY - GEN
T1 - Therma
T2 - 21st IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2016
AU - Beigi, Majed Valad
AU - Memik, Gokhan
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/8/8
Y1 - 2016/8/8
N2 - In this paper, we introduce Therma, a thermal-aware run-time thread migration mechanism for managing temperature fluctuations in nanophotonic networks. Nanophotonics is one of the most promising communication substrate candidates for next-generation high-performance systems. However, their underlying components are sensitive to temperature fluctuations. These fluctuations arise mostly because of the temperature changes on the cores, which are adjacent to nanophotonic components. Therma minimizes thermal fluctuations on these temperature sensitive components by moving threads across cores. Evaluation results reveal that when each core is executing a single thread, Therma achieves a 15.4% and 6.1% reduction in the photonic power consumption compared to the baseline and an interconnectoblivious thread migration scheme, respectively. It also reduces photonic power consumption by up to 20.7% compared to the alternatives when running multiple threads per core on the system.
AB - In this paper, we introduce Therma, a thermal-aware run-time thread migration mechanism for managing temperature fluctuations in nanophotonic networks. Nanophotonics is one of the most promising communication substrate candidates for next-generation high-performance systems. However, their underlying components are sensitive to temperature fluctuations. These fluctuations arise mostly because of the temperature changes on the cores, which are adjacent to nanophotonic components. Therma minimizes thermal fluctuations on these temperature sensitive components by moving threads across cores. Evaluation results reveal that when each core is executing a single thread, Therma achieves a 15.4% and 6.1% reduction in the photonic power consumption compared to the baseline and an interconnectoblivious thread migration scheme, respectively. It also reduces photonic power consumption by up to 20.7% compared to the alternatives when running multiple threads per core on the system.
KW - Nanophotonic Interconnection Network
KW - Temperature Variation
UR - http://www.scopus.com/inward/record.url?scp=85032814832&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032814832&partnerID=8YFLogxK
U2 - 10.1145/2934583.2934592
DO - 10.1145/2934583.2934592
M3 - Conference contribution
AN - SCOPUS:85032814832
T3 - Proceedings of the International Symposium on Low Power Electronics and Design
SP - 230
EP - 235
BT - ISLPED 2016 - Proceedings of the 2016 International Symposium on Low Power Electronics and Design
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 August 2016 through 10 August 2016
ER -