TY - GEN
T1 - TaSaT
T2 - 28th Great Lakes Symposium on VLSI, GLSVLSI 2018
AU - Alsafrjalani, Mohamad Hammam
AU - Adegbija, Tosiron
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/5/30
Y1 - 2018/5/30
N2 - Heterogeneous and configurable systems (HaCS) have been widely used to meet stringent runtime performance and energy constraints in embedded systems. However, no prior work has addressed the emerging runtime thermal constraints in these systems. To leverage HaCS’ capabilities to meet thermal constraints, in addition to performance and energy constraints, we propose TaSaT, a Thermal-aware Scheduling and Tuning algorithm for HaCS. TaSaT reduces HaCS temperature while meeting performance and energy constraints during runtime, without a priori knowledge of applications.
AB - Heterogeneous and configurable systems (HaCS) have been widely used to meet stringent runtime performance and energy constraints in embedded systems. However, no prior work has addressed the emerging runtime thermal constraints in these systems. To leverage HaCS’ capabilities to meet thermal constraints, in addition to performance and energy constraints, we propose TaSaT, a Thermal-aware Scheduling and Tuning algorithm for HaCS. TaSaT reduces HaCS temperature while meeting performance and energy constraints during runtime, without a priori knowledge of applications.
UR - http://www.scopus.com/inward/record.url?scp=85049434508&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85049434508&partnerID=8YFLogxK
U2 - 10.1145/3194554.3194576
DO - 10.1145/3194554.3194576
M3 - Conference contribution
AN - SCOPUS:85049434508
T3 - Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI
SP - 75
EP - 80
BT - GLSVLSI 2018 - Proceedings of the 2018 Great Lakes Symposium on VLSI
PB - Association for Computing Machinery
Y2 - 23 May 2018 through 25 May 2018
ER -