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NIPS
2007
13 years 11 months ago
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
Electrical power management in large-scale IT systems such as commercial datacenters is an application area of rapidly growing interest from both an economic and ecological perspe...
Gerald Tesauro, Rajarshi Das, Hoi Chan, Jeffrey O....
ISLPED
2005
ACM
96views Hardware» more  ISLPED 2005»
14 years 3 months ago
Region-level approximate computation reuse for power reduction in multimedia applications
ABSTRACT Motivated by data value locality and quality tolerance present in multimedia applications, we propose a new micro-architecture, Region-level Approximate Computation Buffer...
Xueqi Cheng, Michael S. Hsiao
ISLPED
1997
ACM
99views Hardware» more  ISLPED 1997»
14 years 1 months ago
Low power data processing by elimination of redundant computations
We suggest a new technique to reduce energy consumption in the processor datapath without sacrificing performance by exploiting operand value locality at run time. Data locality is...
Mir Azam, Paul D. Franzon, Wentai Liu
ASAP
2005
IEEE
112views Hardware» more  ASAP 2005»
14 years 3 months ago
On the Advantages of Serial Architectures for Low-Power Reliable Computations
This paper explores low-power reliable microarchitectures for addition. Power, speed, and reliability (both defect- and fault-tolerance) are important metrics of system design, sp...
Valeriu Beiu, Snorre Aunet, Jabulani Nyathi, Ray R...
IPPS
2007
IEEE
14 years 4 months ago
Memory Optimizations For Fast Power-Aware Sparse Computations
— We consider memory subsystem optimizations for improving the performance of sparse scientific computation while reducing the power consumed by the CPU and memory. We first co...
Konrad Malkowski, Padma Raghavan, Mary Jane Irwin