TY - GEN
T1 - Power and thermal management in massive multicore chips
T2 - 2016 International Conference on Compilers, Architectures and Synthesis for Embedded Systems, CASES 2016
AU - Bogdan, Paul
AU - Pande, Pratim
AU - Amrouch, Hussam
AU - Shafique, Muhammad
AU - Henkel, Jörg
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/10/1
Y1 - 2016/10/1
N2 - Continuing progress and integration levels in silicon technologies make possible complete end-user systems consisting of extremely high number of cores on a single chip targeting either embedded or high-performance computing. However, without new paradigms of energy- and thermally-efficient designs, producing information and communication systems capable of meeting the computing, storage and communication demands of the emerging applications will be unlikely. The broad topic of power and thermal management of massive multicore chips is actively being pursued by a number of researchers worldwide, from a variety of different perspectives, ranging from workload modeling to efficient on-chip network infrastructure design to resource allocation. Successful solutions will likely adopt and encompass elements from all or at least several levels of abstraction. Starting from these ideas, we consider a holistic approach in establishing the Power-Thermal-Performance (PTP) trade-offs of massive multicore processors by considering three inter-related but varying angles, viz., on-chip traffic modeling, novel Networks-on-Chip (NoC) architecture and resource allocation/mapping.
AB - Continuing progress and integration levels in silicon technologies make possible complete end-user systems consisting of extremely high number of cores on a single chip targeting either embedded or high-performance computing. However, without new paradigms of energy- and thermally-efficient designs, producing information and communication systems capable of meeting the computing, storage and communication demands of the emerging applications will be unlikely. The broad topic of power and thermal management of massive multicore chips is actively being pursued by a number of researchers worldwide, from a variety of different perspectives, ranging from workload modeling to efficient on-chip network infrastructure design to resource allocation. Successful solutions will likely adopt and encompass elements from all or at least several levels of abstraction. Starting from these ideas, we consider a holistic approach in establishing the Power-Thermal-Performance (PTP) trade-offs of massive multicore processors by considering three inter-related but varying angles, viz., on-chip traffic modeling, novel Networks-on-Chip (NoC) architecture and resource allocation/mapping.
UR - http://www.scopus.com/inward/record.url?scp=84995639846&partnerID=8YFLogxK
U2 - 10.1145/2968455.2974013
DO - 10.1145/2968455.2974013
M3 - Conference contribution
AN - SCOPUS:84995639846
T3 - Proceedings of the International Conference on Compilers, Architectures and Synthesis for Embedded Systems, CASES 2016
BT - Proceedings of the International Conference on Compilers, Architectures and Synthesis for Embedded Systems, CASES 2016
PB - Association for Computing Machinery, Inc
Y2 - 1 October 2016 through 7 October 2016
ER -