Search Results - "Lefurgy, C."

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  1. 1

    SHIP: A Scalable Hierarchical Power Control Architecture for Large-Scale Data Centers by Xiaorui Wang, Ming Chen, Lefurgy, C., Keller, T. W.

    “…In today's data centers, precisely controlling server power consumption is an essential way to avoid system failures caused by power capacity overload or…”
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    Journal Article
  2. 2

    Energy management for commercial servers by Lefurgy, C., Rajamani, K., Rawson, F., Felter, W., Kistler, M., Keller, T.W.

    Published in Computer (Long Beach, Calif.) (01-12-2003)
    “…Servers: high-end, multiprocessor systems running commercial workloads, have typically included extensive cooling systems and resided in custom-built rooms for…”
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    Journal Article
  3. 3

    Improving code density using compression techniques by Lefurgy, C., Bird, P., Chen, I.-C., Mudge, T.

    “…Proposes a method for compressing programs in embedded processors where the instruction memory size dominates the cost. A post-compilation analyzer examines a…”
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    Conference Proceeding Journal Article
  4. 4

    On evaluating request-distribution schemes for saving energy in server clusters by Rajamani, K., Lefurgy, C.

    “…Power-performance optimization is a relatively new problem area particularly in the context of server clusters. Power-aware request distribution is a method of…”
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    Conference Proceeding
  5. 5

    Improving server performance on transaction processing workloads by enhanced data placement by Rubio, J., Lefurgy, C., John, L.K.

    “…Modern servers access large volumes of data while running commercial workloads. The data is typically spread among several storage devices (e.g. disks)…”
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    Conference Proceeding
  6. 6

    Introducing the Adaptive Energy Management Features of the Power7 Chip by Floyd, M, Allen-Ware, M, Rajamani, K, Brock, B, Lefurgy, C, Drake, A J, Pesantez, L, Gloekler, T, Tierno, J A, Bose, P, Buyuktosunoglu, A

    Published in IEEE MICRO (01-03-2011)
    “…Power7 implements several new adaptive power management techniques which, in concert with the EnergyScale firmware, let it proactively exploit variations in…”
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    Journal Article
  7. 7

    Active Guardband Management in Power7+ to Save Energy and Maintain Reliability by Lefurgy, C. R., Drake, A. J., Floyd, M. S., Allen-Ware, M. S., Brock, B., Tierno, J. A., Carter, J. B., Berry, R. W.

    Published in IEEE MICRO (01-07-2013)
    “…Microprocessor voltage levels traditionally include substantial margin to ensure reliable operation despite variations in manufacturing, workload, and…”
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    Journal Article
  8. 8

    SHIP: Scalable Hierarchical Power Control for Large-Scale Data Centers by Xiaorui Wang, Ming Chen, Lefurgy, C., Keller, T.W.

    “…In today's data centers, precisely controlling server power consumption is an essential way to avoid system failures caused by power capacity overload or…”
    Get full text
    Conference Proceeding
  9. 9

    Accurate Fine-Grained Processor Power Proxies by Wei Huang, Lefurgy, C., Kuk, W., Buyuktosunoglu, A., Floyd, M., Rajamani, K., Allen-Ware, M., Brock, B.

    “…There are not yet practical and accurate ways to directly measure core power in a microprocessor. This limits the granularity of measurement and control for…”
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    Conference Proceeding
  10. 10

    Improving energy efficiency by making DRAM less randomly accessed by Huang, Hai, Shin, Kang G., Lefurgy, Charles, Keller, Tom

    “…Existing techniques manage power for the main memory by passively monitoring the memory traffic, and based on which, predict when to power down and into which…”
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    Conference Proceeding
  11. 11

    Power shifting in Thrifty Interconnection Network by Jian Li, Wei Huang, Lefurgy, C, Lixin Zhang, Denzel, W E, Treumann, R R, Kun Wang

    “…This paper presents two complementary techniques to manage the power consumption of large-scale systems with a packet-switched interconnection network. First,…”
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    Conference Proceeding
  12. 12

    Server-Level Power Control by Lefurgy, C., Xiaorui Wang, Ware, M.

    “…We present a technique that controls the peak power consumption of a high-density server by implementing a feedback controller that uses precise, system-level…”
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    Conference Proceeding
  13. 13

    Evaluation of a high performance code compression method by Lefurgy, Charles, Piccininni, Eva, Mudge, Trevor

    “…Compressing the instructions of an embedded program is important for cost-sensitive low-power control-oriented embedded computing. A number of compression…”
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    Conference Proceeding Journal Article
  14. 14

    Power management solutions for computer systems and datacenters by Rajamani, Karthick, Lefurgy, Charles, Ghiasi, Soraya, Rubio, Juan, Hanson, Heather, Keller, Tom

    “…The growing power and cooling requirements of high-density computing systems pose significant challenges for the design and operation of computers and their…”
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    Conference Proceeding
  15. 15

    Coordinating Multiple Autonomic Managers to Achieve Specified Power-Performance Tradeoffs by Kephart, J.O., Hoi Chan, Das, R., Levine, D.W., Tesauro, G., Rawson, F., Lefurgy, C.

    “…Getting multiple autonomic managers to work together towards a common goal is a significant architectural and algorithmic challenge, as noted in the ICAC 2006…”
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    Conference Proceeding
  16. 16

    TAPO: Thermal-aware power optimization techniques for servers and data centers by Wei Huang, Allen-Ware, M., Carter, J. B., Elnozahy, E., Hamann, H., Keller, T., Lefurgy, C., Jian Li, Rajamani, K., Rubio, J.

    “…A large portion of the power consumption of data centers can be attributed to cooling. In dynamic thermal management mechanisms for data centers and servers,…”
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    Conference Proceeding
  17. 17

    Evaluation of a high performance code compression method by Lefurgy, C., Piccininni, E., Mudge, T.

    “…Compressing the instructions of an embedded program is important for cost-sensitive low-power control-oriented embedded computing. A number of compression…”
    Get full text
    Conference Proceeding
  18. 18

    Reducing code size with run-time decompression by Lefurgy, C., Piccininni, E., Mudge, T.

    “…Compressed representations of programs can be used to improve the code density in embedded systems. Several hardware decompression architectures have been…”
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    Conference Proceeding