Zobrazeno 1 - 10
of 16
pro vyhledávání: '"David Meisner"'
Autor:
Ronald G. Dreslinski, Michael A. Laurenzano, David Meisner, Lingjia Tang, Jason Mars, Yunqi Zhang, Thomas F. Wenisch, Chang-Hong Hsu
Publikováno v:
ACM Transactions on Computer Systems. 35:1-33
Reducing the long tail of the query latency distribution in modern warehouse scale computers is critical for improving performance and quality of service (QoS) of workloads such as Web Search and Memcached. Traditional turbo boost increases a process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8806cb237798ef25174d656606fe1d81
https://doi.org/10.1145/3054742
https://doi.org/10.1145/3054742
Publikováno v:
ISCA
Managing tail latency of requests has become one of the primary challenges for large-scale Internet services. Data centers are quickly evolving and service operators frequently desire to make changes to the deployed software and production hardware c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddedc69842ae5671a347feca446e0dc5
https://doi.org/10.1109/isca.2016.47
https://doi.org/10.1109/isca.2016.47
Publikováno v:
IEEE Micro. 32:60-69
Main memory accounts for a growing fraction of server energy usage. Investigating active low-power modes for managing main memory, with a system called MemScale, the authors offer a solution for performance-aware energy management. By creating a set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb3f5b4d93eb8b6684dbaf9fe6510bdd
https://doi.org/10.1109/mm.2012.21
https://doi.org/10.1109/mm.2012.21
Autor:
David Meisner, Thomas F. Wenisch
Publikováno v:
ASPLOS
Numerous data center services exhibit low average utilization leading to poor energy efficiency. Although CPU voltage and frequency scaling historically has been an effective means to scale down power with utilization, transistor scaling trends are l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c73e6dc26c61d53e4af5e1c3e5bcfb8
https://doi.org/10.1145/2189750.2151009
https://doi.org/10.1145/2189750.2151009
Publikováno v:
ASPLOS
Main memory is responsible for a large and increasing fraction of the energy consumed by servers. Prior work has focused on exploiting DRAM low-power states to conserve energy. However, these states require entire DRAM ranks to be idled, which is dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bc6707e569f9ff48aba43c082e0cbac
https://doi.org/10.1145/1961295.1950392
https://doi.org/10.1145/1961295.1950392
Publikováno v:
ACM Transactions on Computer Systems. 29:1-24
Data center power consumption is growing to unprecedented levels: the EPA estimates U.S. data centers will consume 100 billion kilowatt hours annually by 2011. Much of this energy is wasted in idle systems: in typical deployments, server utilization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f3fdcfe857c17eb324bb792658c5b6a
https://doi.org/10.1145/1925109.1925112
https://doi.org/10.1145/1925109.1925112
Publikováno v:
ASPLOS
Data center power consumption is growing to unprecedented levels: the EPA estimates U.S. data centers will consume 100 billion kilowatt hours annually by 2011. Much of this energy is wasted in idle systems: in typical deployments, server utilization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce20b1118a02a78f5d12b6ac3c503619
https://doi.org/10.1145/2528521.1508269
https://doi.org/10.1145/2528521.1508269
Autor:
Jason Mars, Michael A. Laurenzano, Lingjia Tang, Yunqi Zhang, Chang-Hong Hsu, Ronald G. Dreslinski, David Meisner, Thomas F. Wenisch
Publikováno v:
HPCA
Reducing the long tail of the query latency distribution in modern warehouse scale computers is critical for improving performance and quality of service of workloads such as Web Search and Memcached. Traditional turbo boost increases a processor's v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51bb95ef0485f8aca02f4c529fd6d641
https://doi.org/10.1109/hpca.2015.7056039
https://doi.org/10.1109/hpca.2015.7056039
Publikováno v:
ISCA
Distributed in-memory key-value stores, such as memcached, are central to the scalability of modern internet services. Current deployments use commodity servers with high-end processors. However, given the cost-sensitivity of internet services and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c1b4310e5b432a0ea5aee2f217dc784
https://doi.org/10.1145/2485922.2485926
https://doi.org/10.1145/2485922.2485926
Publikováno v:
MICRO
Recent work has introduced memory system dynamic voltage and frequency scaling (DVFS), and has suggested that balanced scaling of both CPU and the memory system is the most promising approach for conserving energy in server systems. In this paper, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eda994af533a9dc1cc659cb90dcabedf
https://doi.org/10.1109/micro.2012.22
https://doi.org/10.1109/micro.2012.22