The design and use of simplepower a cycle-accurate energy estimation tool

In this paper, we presen t the design and use of a comprehensiv e framework, SimplePower, for ev aluating the effect of high-level algorithmic, architectural, and compilation trade-offs on energy. An execution-driven, cycle-accurate RT lev el energy estimation tool that uses transition sensitive ene...

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Vydáno v:37th Design Automation Conference, 2000 s. 340 - 345
Hlavní autoři: Ye, W., Vijaykrishnan, N., Kandemir, M., Irwin, M. J.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY, USA ACM 01.01.2000
IEEE
Edice:ACM Conferences
Témata:
Algorithm design and analysis
Applied computing > Physical sciences and engineering > Engineering
Computer systems organization > Dependable and fault-tolerant systems and networks
Design optimization
Embedded software
Energy consumption
General and reference > Cross-computing tools and techniques > Performance
Hardware > Electronic design automation > Methodologies for EDA
Hardware > Integrated circuits > Logic circuits > Arithmetic and datapath circuits
Hardware > Integrated circuits > Logic circuits > Design modules and hierarchy
Hardware > Robustness
Networks > Network performance evaluation
Permission
Power measurement
Power system modeling
Process design
Registers
Software tools
ISBN:9781581131871, 1581131879
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Shrnutí:In this paper, we presen t the design and use of a comprehensiv e framework, SimplePower, for ev aluating the effect of high-level algorithmic, architectural, and compilation trade-offs on energy. An execution-driven, cycle-accurate RT lev el energy estimation tool that uses transition sensitive energy models forms the cornerstone of this framework. SimplePower also pro vides the energy consumed in the memory system and on-chip buses using analytical energy models. We presen t the use of SimplePower to evaluate the impact of a new selective gated pipeline register optimization, a high-level data transformation and a pow er-conscious post compilation optimization (register relabeling) on the datapath, memory and on-chip bus energy, respectively. We find that these three optimizations reduce the energy by 18-36% in the datapath, 62% in the memory system and 12% in the instruction cache data bus, respectively.
ISBN:9781581131871
1581131879
DOI:10.1145/337292.337436