Seth H. Pugsley, Jeffrey Jestes, et al.
IEEE Micro
Computer systems increasingly rely on adaptive dynamic management of their operations to balance power and performance goals. Such dynamic adjustments rely heavily on the system's ability to observe and predict workload behavior and system responses. The authors characterize the workload behavior of full benchmarks running on server-class systems using hardware performance counters. Based on these characterizations, they developed a set of long-term value, gradient, and duration prediction techniques that can help systems to provision resources. © 2005 IEEE.
Seth H. Pugsley, Jeffrey Jestes, et al.
IEEE Micro
Hui Wang, Canturk Isci, et al.
VEE 2015
Alper Buyuktosunoglu, David Trilla Rodriguez, et al.
HPCA 2024
Naorin Hossain, Alper Buyuktosunoglu, et al.
DAC 2023