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Fundamental energy ...
Fundamental energy cost of finite-time parallelizable computing
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- Konopik, Michael (författare)
- Lund University,Lunds universitet,NanoLund: Centre for Nanoscience,Annan verksamhet, LTH,Lunds Tekniska Högskola,Fasta tillståndets fysik,Fysiska institutionen,Institutioner vid LTH,LTH profilområde: Nanovetenskap och halvledarteknologi,LTH profilområden,LU profilområde: Ljus och material,Lunds universitets profilområden,Other operations, LTH,Faculty of Engineering, LTH,Solid State Physics,Department of Physics,Departments at LTH,Faculty of Engineering, LTH,LTH Profile Area: Nanoscience and Semiconductor Technology,LTH Profile areas,Faculty of Engineering, LTH,LU Profile Area: Light and Materials,Lund University Profile areas,University of Stuttgart
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- Korten, Till (författare)
- Dresden University of Technology
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- Lutz, Eric (författare)
- University of Stuttgart
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- Linke, Heiner (författare)
- Lund University,Lunds universitet,NanoLund: Centre for Nanoscience,Annan verksamhet, LTH,Lunds Tekniska Högskola,Fasta tillståndets fysik,Fysiska institutionen,Institutioner vid LTH,LTH profilområde: Nanovetenskap och halvledarteknologi,LTH profilområden,LTH profilområde: Teknik för hälsa,LU profilområde: Ljus och material,Lunds universitets profilområden,Other operations, LTH,Faculty of Engineering, LTH,Solid State Physics,Department of Physics,Departments at LTH,Faculty of Engineering, LTH,LTH Profile Area: Nanoscience and Semiconductor Technology,LTH Profile areas,Faculty of Engineering, LTH,LTH Profile Area: Engineering Health,Faculty of Engineering, LTH,LU Profile Area: Light and Materials,Lund University Profile areas
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(creator_code:org_t)
- 2023-01-27
- 2023
- Engelska.
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Ingår i: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 14:1
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http://dx.doi.org/10... (free)
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The fundamental energy cost of irreversible computing is given by the Landauer bound of kTln 2 /bit, where k is the Boltzmann constant and T is the temperature in Kelvin. However, this limit is only achievable for infinite-time processes. We here determine the fundamental energy cost of finite-time parallelizable computing within the framework of nonequilibrium thermodynamics. We apply these results to quantify the energetic advantage of parallel computing over serial computing. We find that the energy cost per operation of a parallel computer can be kept close to the Landauer limit even for large problem sizes, whereas that of a serial computer fundamentally diverges. We analyze, in particular, the effects of different degrees of parallelization and amounts of overhead, as well as the influence of non-ideal electronic hardware. We further discuss their implications in the context of current technology. Our findings provide a physical basis for the design of energy-efficient computers.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Fysik -- Den kondenserade materiens fysik (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Condensed Matter Physics (hsv//eng)
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