TY - GEN
T1 - Power-efficient and scalable load/store queue design via address compression
AU - Tsai, Yi Ying
AU - Hsu, Chia Jung
AU - Chen, Chung Ho
PY - 2008
Y1 - 2008
N2 - This paper proposes an address compression technique for load/store queue (LSQ) to improve the scalability and power efficiency. A load/store queue (LSQ) typically needs a fullyassociative CAM structure to search the address for collision and consequently poses scalability challenges of power consumption and area cost. Using the proposed approach, the LSQ can reduce the area cost ranging from 32% to 66% and power consumption ranging from 38% to 71%, depending on the compression parameter. The approach can provide 3.08% overall processor energy reduction and causes only 0.22% performance loss at an optimal configuration.
AB - This paper proposes an address compression technique for load/store queue (LSQ) to improve the scalability and power efficiency. A load/store queue (LSQ) typically needs a fullyassociative CAM structure to search the address for collision and consequently poses scalability challenges of power consumption and area cost. Using the proposed approach, the LSQ can reduce the area cost ranging from 32% to 66% and power consumption ranging from 38% to 71%, depending on the compression parameter. The approach can provide 3.08% overall processor energy reduction and causes only 0.22% performance loss at an optimal configuration.
UR - http://www.scopus.com/inward/record.url?scp=56749104734&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=56749104734&partnerID=8YFLogxK
U2 - 10.1145/1363686.1364042
DO - 10.1145/1363686.1364042
M3 - Conference contribution
AN - SCOPUS:56749104734
SN - 9781595937537
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 1523
EP - 1527
BT - Proceedings of the 23rd Annual ACM Symposium on Applied Computing, SAC'08
T2 - 23rd Annual ACM Symposium on Applied Computing, SAC'08
Y2 - 16 March 2008 through 20 March 2008
ER -