Now showing items 1-8 of 8

    • 1st BSC Doctoral Symposium : book of abstracts 

      Cucchietti, Fernando; Comes, Carles; Badia Moragas, Alba; Cabeza, Israel; Eguzkitza, Beatriz; Gifre Renom, Lluís; González, Santiago; Guevara, Marc; Hernández, Roger; Hussain, Tassadaq; Jiménez, Brian; Liu, Qixiao; Moal, Iain; Obiso, Vincenzo; Palavedu, Karthikeyan; Panic, Milos; Rajovic, Nikola; Royuela, Sara; Scaini, Chiara; Soret, Albert; Stipić, Srđjan; Strassburg, Janko; Valverde, Víctor; Villalba, Álvaro (Barcelona Supercomputing Center, 2014-05-26)
      Conference report
      Open Access
    • DReAM: An approach to estimate per-Task DRAM energy in multicore systems 

      Liu, Qixiao; Moreto Planas, Miquel; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier; Valero Cortés, Mateo (2016-12)
      Article
      Open Access
      Accurate per-task energy estimation in multicore systems would allow performing per-task energy-aware task scheduling and energy-aware billing in data centers, among other applications. Per-task energy estimation is ...
    • DReAM: Per-task DRAM energy metering in multicore systems 

      Liu, Qixiao; Moreto Planas, Miquel; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier; Valero Cortés, Mateo (Springer, 2014)
      Conference report
      Open Access
      Interaction across applications in DRAM memory impacts its energy consumption. This paper makes the case for accurate per-task DRAM energy metering in multicores, which opens new paths to energy/performance optimizations, ...
    • Per-task energy accounting in computing systems 

      Liu, Qixiao; Jiménez, Víctor; Moreto Planas, Miquel; Abella Ferrer, Jaume; Cazorla, Francisco; Valero Cortés, Mateo (2013)
      External research report
      Open Access
      We present for the first time the concept of per-task energy accounting (PTEA) and relate it to per-task energy metering (PTEM). We show the benefits of supporting both in future computing systems. Using the shared last-level ...
    • Per-task energy metering and accounting in the multicore era 

      Liu, Qixiao (Universitat Politècnica de Catalunya, 2016-05-26)
      Doctoral thesis
      Open Access
      Chip multi-core processors (CMPs) are the preferred processing platform across different domains such as data centers, real-time systems and mobile devices. In all those domains, energy is arguably the most expensive ...
    • Per-task energy metering and accounting in the multicore era 

      Liu, Qixiao; Moreto Planas, Miquel; Abell, Jaume; Cazorla Almeida, Francisco Javier; Valero Cortés, Mateo (Barcelona Supercomputing Center, 2015-05-05)
      Conference report
      Open Access
      Energy has become arguably the most expensive resource in a computing system. As multi-core processors are the preferred processing platform across different computing domains, measuring the energy usage draws vast attention. ...
    • SEDEA: A sensible approach to account DRAM energy in multicore systems 

      Liu, Qixiao; Moreto Planas, Miquel; Abella Ferrer, Jaume; Cazorla, Francisco; Valero Cortés, Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference report
      Open Access
      As the energy cost in todays computing systems keeps increasing, measuring the energy becomes crucial in many scenarios. For instance, due to the fact that the operational cost of datacenters largely depends on the energy ...
    • Sensible energy accounting with abstract metering for multicore systems 

      Liu, Qixiao; Moreto Planas, Miquel; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier; Jiménez, Daniel A.; Valero Cortés, Mateo (2016-01)
      Article
      Open Access
      Chip multicore processors (CMPs) are the preferred processing platform across different domains such as data centers, real-time systems, and mobile devices. In all those domains, energy is arguably the most expensive ...