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CGO
2005
IEEE
14 years 1 months ago
Effective Adaptive Computing Environment Management via Dynamic Optimization
To minimize the surging power consumption of microprocessors, adaptive computing environments (ACEs) where microarchitectural resources can be dynamically tuned to match a program...
Shiwen Hu, Madhavi Gopal Valluri, Lizy Kurian John
MICRO
2009
IEEE
137views Hardware» more  MICRO 2009»
14 years 2 months ago
ESKIMO: Energy savings using Semantic Knowledge of Inconsequential Memory Occupancy for DRAM subsystem
Dynamic Random Access Memory (DRAM) is used as the bulk of the main memory in most computing systems and its energy and power consumption has become a first-class design considera...
Ciji Isen, Lizy Kurian John
MICRO
2003
IEEE
125views Hardware» more  MICRO 2003»
14 years 19 days ago
Runtime Power Monitoring in High-End Processors: Methodology and Empirical Data
With power dissipation becoming an increasingly vexing problem across many classes of computer systems, measuring power dissipation of real, running systems has become crucial for...
Canturk Isci, Margaret Martonosi
ESOP
1999
Springer
13 years 11 months ago
Dynamic Programming via Static Incrementalization
Abstract. Dynamicprogramming is an importantalgorithm design technique. It is used for solving problems whose solutions involve recursively solving subproblems that share subsubpro...
Yanhong A. Liu, Scott D. Stoller
HPDC
2012
IEEE
11 years 9 months ago
Dynamic adaptive virtual core mapping to improve power, energy, and performance in multi-socket multicores
Consider a multithreaded parallel application running inside a multicore virtual machine context that is itself hosted on a multi-socket multicore physical machine. How should the...
Chang Bae, Lei Xia, Peter A. Dinda, John R. Lange