Power Plays: How power consumption will shape the future of computing 
By Tyler Bletsch - Sunday, July 1, 2007, 08:52 AM - Power-aware computing
This Ars Technica article spotlights the development of power-aware technologies at the chip, system, network, and data center levels. It analyzes recent developments in terms of granularity, i.e. the frequency of reaction. Overall, a well written article.
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Development and Optimization Techniques for Multi-Core Processors 
By Min Yeol Lim - Wednesday, June 27, 2007, 09:18 PM - Power-aware computing
This article talks about the performance issues on multi-core system. It basically recommends to use the parallelism, such as OpenMP, in order to take full advantage of it. It also gives the common issues limiting the performance. I think it's a very good article to summarize idea.

http://www.devx.com/go-parallel/Article/34428
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Summary of Power-aware computing research in OpenMP applications 
By Min Yeol Lim - Tuesday, June 19, 2007, 03:04 PM - Power-aware computing
Here are the paper list proposing research using the OpenMP library in Power-aware computing area.

1. Chun Liu, et. al, "Exploiting Barriers to Optimize Power Consumption of CMPs", IPDPS 2005.
This work is to use slack time among processors. By figuring out stall time at the end of each iteration, it reduces the frequency to save power without performance degradation. The evaluation in th paper is done only with simulator, not real experiment. SpecOMP is used to verify the idea.

2. Matthew Curtis-Maury, et. al, "Online Power-Performance Adaptation of Multithreaded Programs using Hardware Event-Based Prediction", ICS 2006.
This paper designed and implemented a framework that can adaptively regulate the concurrency level during program execution. So, the processors/threads configuration is changed based to achieve near-optimal energy efficiency. It build power/performance models and uses the hardware counters. For evaluation, 4 hyperthreaded Intel processors are used.

3. Jian Li, et. al, "Dynamic Power-Performance Adaptation of Parallel Computation on Chip Multiprocessors", HPCA 2006.
This paper proposes a heuristic method to determine # of processors and frequency level on one CMP node. All evaluation are performed on simulator. It does not expand the approach to multiple CMP nodes.

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Using the S3 sleep state, even on a server 
By Tyler Bletsch - Monday, April 23, 2007, 10:01 AM - Power-aware computing
By way of slashdot, this Exoid article details how to make sure Windows uses the S3 sleep state, even for an always-on server. Also linked is this handy reference to the possible ACPI sleep states.

Perhaps something like this could be developed into a vehicle for low-utilization servers?
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