Toward a Science of Power Management.

The article discusses the need to understand tradeoffs between energy and computation in order to design energy-efficient hardware and software. The entry notes that the computational complexity theory of the 1950s combined with a formal treatment of energy, power, and thermal issues will help to ad...

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Publicado en:Computer (00189162) Vol. 42; no. 9; pp. 99 - 102
Autor principal: Kant, Krishna
Formato: Artículo
Publicado: IEEE Sep2009
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Toward a Science of Power Management.
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        au: Kant, Krishna
        affil: Intel Corp.
      su:
        Energy conservation
        Software architecture
        Computer input-output equipment
        Information technology
        Energy consumption
      sug:
        subj:
          Energy conservation
          Software architecture
          Computer input-output equipment
          Information technology
          Energy consumption
      ab: The article discusses the need to understand tradeoffs between energy and computation in order to design energy-efficient hardware and software. The entry notes that the computational complexity theory of the 1950s combined with a formal treatment of energy, power, and thermal issues will help to address problem of information technology's (IT) growing energy consumption. In relation to this, the technique of workload batching ensures minimized energy consumption from the hardware components to computing clusters.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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