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  1. 1

    Rubik: Fast analytical power management for latency-critical systems by Kasture, Harshad, Bartolini, Davide B., Beckmann, Nathan, Sanchez, Daniel

    ISSN: 2379-3155
    Published: ACM 01.12.2015
    “…Latency-critical workloads (e.g., web search), common in datacenters, require stable tail (e.g., 95 th percentile) latencies of a few milliseconds. Servers…”
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    Conference Proceeding
  2. 2

    Designing Cloud Servers for Lower Carbon by Wang, Jaylen, Berger, Daniel S., Kazhamiaka, Fiodar, Irvene, Celine, Zhang, Chaojie, Choukse, Esha, Frost, Kali, Fonseca, Rodrigo, Warrier, Brijesh, Bansal, Chetan, Stern, Jonathan, Bianchini, Ricardo, Sriraman, Akshitha

    Published: IEEE 29.06.2024
    “…To mitigate climate change, we must reduce carbon emissions from hyperscale cloud computing. We find that cloud compute servers cause the majority of emissions…”
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    Conference Proceeding
  3. 3

    Power management of online data-intensive services by Meisner, David, Sadler, Christopher M., Barroso, Luiz André, Weber, Wolf-Dietrich, Wenisch, Thomas F.

    ISBN: 9781450304726, 1450304729
    ISSN: 1063-6897
    Published: New York, NY, USA ACM 04.06.2011
    “…Much of the success of the Internet services model can be attributed to the popularity of a class of workloads that we call Online Data-Intensive (OLDI)…”
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    Conference Proceeding
  4. 4

    CoScale: Coordinating CPU and Memory System DVFS in Server Systems by Deng, Qingyuan, Meisner, David, Bhattacharjee, Abhishek, Wenisch, Thomas F., Bianchini, Ricardo

    ISSN: 1072-4451
    Published: IEEE 01.12.2012
    “…Recent work has introduced memory system dynamic voltage and frequency scaling (DVFS), and has suggested that balanced scaling of both CPU and the memory…”
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    Conference Proceeding
  5. 5

    Alternate Path μ-op Cache Prefetching by Singh, Sawan, Perais, Arthur, Jimborean, Alexandra, Ros, Alberto

    Published: IEEE 29.06.2024
    “…Datacenter applications are well-known for their large code footprints. This has caused frontend design to evolve by implementing decoupled fetching and large…”
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    Conference Proceeding
  6. 6

    Flagger: Cooperative Acceleration for Large-Scale Cross-Silo Federated Learning Aggregation by Pan, Xiurui, An, Yuda, Liang, Shengwen, Mao, Bo, Zhang, Mingzhe, Li, Qiao, Jung, Myoungsoo, Zhang, Jie

    Published: IEEE 29.06.2024
    “…Cross-silo federated learning (FL) leverages homomorphic encryption (HE) to obscure the model updates from the clients. However, HE poses the challenges of…”
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    Conference Proceeding
  7. 7

    AgilePkgC: An Agile System Idle State Architecture for Energy Proportional Datacenter Servers by Antoniou, Georgia, Volos, Haris, Bartolini, Davide B., Rollet, Tom, Sazeides, Yiannakis, Yahya, Jawad Haj

    Published: IEEE 01.10.2022
    “…Modern user-facing applications deployed in datacenters use a distributed system architecture that exacerbates the latency requirements of their constituent…”
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    Conference Proceeding
  8. 8

    KnightShift: Scaling the Energy Proportionality Wall through Server-Level Heterogeneity by Wong, Daniel, Annavaram, Murali

    ISSN: 1072-4451
    Published: IEEE 01.12.2012
    “…Server energy proportionality has been improving over the past several years. Many components in a system, such as CPU, memory and disk, have been achieving…”
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    Conference Proceeding
  9. 9

    nuKSM: NUMA-aware Memory De-duplication on Multi-socket Servers by Panda, Akash, Panwar, Ashish, Basu, Arkaprava

    Published: IEEE 01.09.2021
    “…An operating system has many memory management goals including reducing memory access latency, and reducing memory footprint. These goals can conflict with…”
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    Conference Proceeding
  10. 10

    Towards sustainable in-situ server systems in the big data era by Li, Chao, Hu, Yang, Liu, Longjun, Gu, Juncheng, Song, Mingcong, Liang, Xiaoyao, Yuan, Jingling, Li, Tao

    ISSN: 1063-6897
    Published: IEEE 13.06.2015
    “…Recent years have seen an explosion of data volumes from a myriad of distributed sources such as ubiquitous cameras and various sensors. The challenges of…”
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    Conference Proceeding
  11. 11

    Understanding and Designing New Server Architectures for Emerging Warehouse-Computing Environments by Lim, Kevin, Ranganathan, Parthasarathy, Chang, Jichuan, Patel, Chandrakant, Mudge, Trevor, Reinhardt, Steven

    ISBN: 9780769531748, 0769531741
    ISSN: 1063-6897
    Published: Washington, DC, USA IEEE Computer Society 01.06.2008
    “…This paper seeks to understand and design next-generation servers for emerging "warehouse-computing" environments. We make two key contributions. First, we put…”
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    Conference Proceeding
  12. 12

    DCS: A fast and scalable device-centric server architecture by Jaehyung Ahn, Dongup Kwon, Youngsok Kim, Ajdari, Mohammadamin, Jaewon Lee, Jangwoo Kim

    ISSN: 2379-3155
    Published: ACM 01.12.2015
    “…Conventional servers have achieved high performance by employing fast CPUs to run compute-intensive workloads, while making operating systems manage relatively…”
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    Conference Proceeding
  13. 13

    Achieving Scalability in a k-NN Multi-GPU Network Service with Centaur by Watad, Amir, Libov, Alexander, Shacham, Ohad, Bortnikov, Edward, Silberstein, Mark

    ISSN: 2641-7936
    Published: IEEE 01.09.2019
    “…Centaur is a GPU-centric architecture for building a low-latency approximate k-Nearest-Neighbors network server. We implement a multi-GPU distributed data flow…”
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    Conference Proceeding
  14. 14

    A case study of open source software development: the Apache server by Mockus, Audris, Fielding, Roy T., Herbsleb, James

    ISBN: 1581132069, 9781581132069
    ISSN: 0270-5257
    Published: New York, NY, USA ACM 2000
    “…According to its proponents, open source style software development has the capacity to compete successfully, and perhaps in many cases displace, traditional…”
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    Conference Proceeding Journal Article
  15. 15

    Techniques for energy-efficient power budgeting in data centers by Zhan, Xin, Reda, Sherief

    ISBN: 1450320716, 9781450320719
    ISSN: 0738-100X
    Published: New York, NY, USA ACM 29.05.2013
    “…We propose techniques for power budgeting in data centers, where a large power budget is allocated among the servers and the cooling units such that the…”
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    Conference Proceeding
  16. 16

    Peak power modeling for data center servers with switched-mode power supplies by Meisner, David, Wenisch, Thomas F.

    ISBN: 1424485886, 9781424485888
    Published: IEEE 01.08.2010
    “…Accurately modeling server power consumption is critical in designing data center power provisioning infrastructure. However, to date, most research proposals…”
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    Conference Proceeding
  17. 17

    Chameleon: adapting throughput server to time-varying green power budget using online learning by Li, Chao, Wang, Rui, Goswami, Nilanjan, Li, Xian, Li, Tao, Qian, Depei

    ISBN: 1479912352, 9781479912353
    Published: Piscataway, NJ, USA IEEE Press 04.09.2013
    “…Eco-friendly energy sources (i.e. green power) attract great attention as lowering computer carbon footprint has become a necessity. Existing proposals on…”
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    Conference Proceeding
  18. 18

    vCap: adaptive power capping for virtualized servers by Hankendi, Can, Reda, Sherief, Coskun, Ayse K.

    ISBN: 1479912352, 9781479912353
    Published: Piscataway, NJ, USA IEEE Press 04.09.2013
    “…Power capping on server nodes has become an essential feature in data centers for controlling energy costs and peak power consumption. More than half of the…”
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    Conference Proceeding
  19. 19

    CoAXIAL: A CXL-Centric Memory System for Scalable Servers by Cho, Albert, Saxena, Anish, Qureshi, Moinuddin, Daglis, Alexandros

    Published: IEEE 17.11.2024
    “…The memory system is a major performance determinant for server processors. Ever-growing core counts and datasets demand higher memory bandwidth and capacity…”
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    Conference Proceeding
  20. 20

    Power-performance management on an IBM POWER7 server by Rajamani, Karthick, Rawson, Freeman, Ware, Malcolm, Hanson, Heather, Carter, John, Rosedahl, Todd, Geissler, Andrew, Silva, Guillermo, Hua, Hong

    ISBN: 1424485886, 9781424485888
    Published: IEEE 01.08.2010
    “…The processor and cooling subsystems of high-performance servers consume a significant portion of total system power. In this paper, we use the server…”
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    Conference Proceeding