A Power Grid Optimization Algorithm by Observing Timing Error Risk by IR Drop

Kawakami, Yoshiyuki; Terao, Makoto; Fukui, Masahiro; Tsukiyama, Shuji

doi:10.1093/ietfec/e91-a.12.3423

Cited by 7 publications

(9 citation statements)

References 9 publications

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“…Third objective is to reduce the risk of failing signal wiring which is caused by local congestion of wires. We have already proposed an algorithm to solve these trade-off problems [13][14][15]. It defines the optimization problem by using an evaluation function which unifies the risks of multiple objectives.…”

Section: Power Grid Optimization Algorithmmentioning

confidence: 99%

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A Parallel Circuit Simulator for Iterative Power Grids Optimization System

Hashizume¹,

Yoshikawa²,

Fukui³

2012

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This paper discusses a high efficient parallel circuit simulator for iterative power grid optimization. The simulator is implemented by FPGA. We focus particularly on the following points: 1) Selection of the analysis method for power grid optimization, the proposed simulator introduces hardware-oriented fixed point arithmetic instead of floating point arithmetic. It accomplishes the high accuracy by selecting appropriate time step of the simulation; 2) The simulator achieves high speed simulation by developing dedicated hardware and adopting parallel processing. Experiments prove that the proposed simulator using 80 MHz FPGA and eight parallel processing achieves 35 times faster simulation than software processing with 2.8 GHz CPU while maintaining almost same accuracy in comparison with SPICE simulation

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Section: Power Grid Optimization Algorithmmentioning

confidence: 99%

“…The results of SPICE simulation by the same circuits are used for the reference data. SPICE performs Backward Euler method and Trapezoidal method [14]. These analytical methods real-ize high accuracy, however take a lot of processing time, in general.…”

Section: Evaluation Of Pipeline Processingmentioning

confidence: 99%

A Parallel Circuit Simulator for Iterative Power Grids Optimization System

Hashizume¹,

Yoshikawa²,

Fukui³

2012

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“…Second reason is that each of them has a different characteristic curve. We have introduced a new concept of risk functions to deal with those different characteristics at the natural process of the optimization schedule [6,7]. The risk function represents dangerous condition of LSI implementation by using 0% to 100%.…”

Section: Multi-objective Optimization Flowmentioning

confidence: 99%

“…We introduced in [6] a new concept of a risk function to deal with those different characteristics of metrics at the natural process of the optimization schedule. Furthermore, we introduced a timing error risk as a direct metrics for optimization instead of IR drop in [7].…”

Section: Introductionmentioning

confidence: 99%

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A Power Grid Optimization Algorithm by Direct Observation of Manufacturing Cost Reduction

Hayashi¹,

Kawakami²,

Fukui

2012

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With the recent advances of the VLSI technologies, stabilizing the physical behavior of VLSI chips is becoming a very complicated problem. Power grid optimization is required to minimize the risks of timing error by IR drop, defects by electro migration (EM), and manufacturing cost by the chip size. This problem includes complicated tradeoff relationships. We propose a new approach by observing the direct objectives of manufacturing cost, and timing error risk caused by IR drop and EM. The manufacturing cost is based on yield for LSI chip. The optimization is executed in early phase of the physical design, and the purpose is to find the rough budget of decoupling capacitors that may cause block size increase. Rough budgeting of the power wire width is also determined simultaneously. The experimental result shows that our approach enables selection of a cost sensitive result or a performance sensitive result in early physical design phase

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Adaptive voltage over-scaling for resilient applications

Krause

Polian

2011

2011 Design, Automation &Amp; Test in Europe

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A Power Grid Optimization Algorithm by Observing Timing Error Risk by IR Drop

Cited by 7 publications

References 9 publications

A Parallel Circuit Simulator for Iterative Power Grids Optimization System

A Parallel Circuit Simulator for Iterative Power Grids Optimization System

A Power Grid Optimization Algorithm by Direct Observation of Manufacturing Cost Reduction

Adaptive voltage over-scaling for resilient applications

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