6 research outputs found

    Effective network grid synthesis and optimization for high performance very large scale integration system design

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    制度:新 ; 文部省報告番号:甲2642号 ; 学位の種類:博士(工学) ; 授与年月日:2008/3/15 ; 早大学位記番号:新480

    A decap placement methodology for reducing joule heating and temperature in PSN interconnect

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    Design and Analysis of Power Distribution Networks in VLSI Circuits.

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    Rapidly switching currents of the on-chip devices can cause fluctuations in the supply voltage which can be classified as IR and Ldi/dt drops. The voltage fluctuations in a supply network can inject noise in a circuit which may lead to functional failures of the design. Power supply integrity verification is, therefore, a critical concern in high-performance designs. Also, with decreasing supply voltages, gate-delay is becoming increasingly sensitive to supply voltage variation. With ever-diminishing clock periods, accurate analysis of the impact of supply voltage on circuit performance has also become critical. Increasing power consumption and clock frequency have exacerbated the Ldi/dt drop in every new technology generation. The Ldi/dt drop has become the dominant portion of the overall supply-drop in high performance designs. On-die passive decap, which has traditionally been used for suppressing Ldi/dt, has become expensive due to its area and leakage power overhead. This has created an urgent need for novel circuit techniques to suppress the Ldi/dt drop in power distribution networks. We provide accurate algorithmic solutions for determining the worst-case supply-drop and the impact of supply noise on circuit performance. We propose a path-based and a block-based approach for computing the maximum circuit delay under power supply fluctuations. We also propose an early-mode supply-drop estimation approach and a statistical approach for power grid analysis. All the proposed approaches are vectorless and account for both IR and Ldi/dt drops. We also propose a performance-aware decoupling capacitance allocation technique which uses timing slacks to drive the optimization. Finally, we present analog as well as all-digital circuit techniques for inductive supply noise suppression. The proposed all-digital circuit techniques were implemented in a test-chip, fabricated in a 0.13µm CMOS process. Measurements on the test-chip demonstrate a reduction in the supply fluctuations by 57% for a ramp loads and by 75% during resonance. We also present a low-power, all-digital on-chip oscilloscope for accurate measurement of supply noise. Supply noise measurements obtained from the on-chip oscilloscope were validated to conform well to those obtained from a traditional supply-drop monitor and direct on-chip probing.Ph.D.Electrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/58508/1/spant_1.pd

    Partitioning-Based Approach to Fast On-Chip Decap Budgeting and Minimization

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    This paper proposes a fast decoupling capacitance (decap) allocation and budgeting algorithm for both early stage decap estimation and later stage decap minimization in today’s VLSI physical design. The new method is based on a sensitivity-based conjugate gradient (CG) approach. But it adopts several new techniques, which significantly improve the efficiency of the optimization process. First, the new approach applies the time-domain merged adjoint network method for fast sensitivity calculation. Second, an efficient search step scheme is proposed to replace the timeconsuming line search phase in conventional conjugate gradient method for decap budget optimization. Third, instead of optimizing an entire large circuit, we partition the circuit into a number of smaller sub-circuits and optimize them separately by exploiting the locality of adding decaps. Experimental results show that the proposed algorithm achieves at least 10X speed-up over the fastest decap allocation method reported so far with similar or even better budget quality and a power grid circuit with about one million nodes can be optimized using the new method in half an hour on the latest Linux workstations
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