117 research outputs found

    Integrated silicon assembly

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    Generating efficient layouts from optimized MOS circuit schematics

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    Also issued as Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1988.Includes bibliographical references.Supported by the U.S. Air Force--Office of Scientific Research. AFOSR-86-0164 Supported in part by a National Science Foundation Graduate Fellowship. Supported in part by Thinking Machines Corporation. 2305/B4Donald George Baltus

    A Multiple-objective ILP based Global Routing Approach for VLSI ASIC Design

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    A VLSI chip can today contain hundreds of millions transistors and is expected to contain more than 1 billion transistors in the next decade. In order to handle this rapid growth in integration technology, the design procedure is therefore divided into a sequence of design steps. Circuit layout is the design step in which a physical realization of a circuit is obtained from its functional description. Global routing is one of the key subproblems of the circuit layout which involves finding an approximate path for the wires connecting the elements of the circuit without violating resource constraints. The global routing problem is NP-hard, therefore, heuristics capable of producing high quality routes with little computational effort are required as we move into the Deep Sub-Micron (DSM) regime. In this thesis, different approaches for global routing problem are first reviewed. The advantages and disadvantages of these approaches are also summarized. According to this literature review, several mathematical programming based global routing models are fully investigated. Quality of solution obtained by these models are then compared with traditional Maze routing technique. The experimental results show that the proposed model can optimize several global routing objectives simultaneously and effectively. Also, it is easy to incorporate new objectives into the proposed global routing model. To speedup the computation time of the proposed ILP based global router, several hierarchical methods are combined with the flat ILP based global routing approach. The experimental results indicate that the bottom-up global routing method can reduce the computation time effectively with a slight increase of maximum routing density. In addition to wire area, routability, and vias, performance and low power are also important goals in global routing, especially in deep submicron designs. Previous efforts that focused on power optimization for global routing are hindered by excessively long run times or the routing of a subset of the nets. Accordingly, a power efficient multi-pin global routing technique (PIRT) is proposed in this thesis. This integer linear programming based techniques strives to find a power efficient global routing solution. The results indicate that an average power savings as high as 32\% for the 130-nm technology can be achieved with no impact on the maximum chip frequency

    A complete design path for the layout of flexible macros

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    XIV+172hlm.;24c

    ์ •์  ๋žจ ๋ฐ ํŒŒ์›Œ ๊ฒŒ์ดํŠธ ํšŒ๋กœ์— ๋Œ€ํ•œ ์ „์•• ๋ฐ ๋ณด์กด์šฉ ๊ณต๊ฐ„ ํ• ๋‹น ๋ฌธ์ œ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2021.8. ๊น€ํƒœํ™˜.์นฉ์˜ ์ €์ „๋ ฅ ๋™์ž‘์€ ์ค‘์š”ํ•œ ๋ฌธ์ œ์ด๋ฉฐ, ๊ณต์ •์ด ๋ฐœ์ „ํ•˜๋ฉด์„œ ๊ทธ ์ค‘์š”์„ฑ์€ ์ ์  ์ปค์ง€๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ์นฉ์„ ๊ตฌ์„ฑํ•˜๋Š” ์ •์  ๋žจ(SRAM) ๋ฐ ๋กœ์ง(logic) ๊ฐ๊ฐ์— ๋Œ€ํ•ด์„œ ์ €์ „๋ ฅ์œผ๋กœ ๋™์ž‘์‹œํ‚ค๋Š” ๋ฐฉ๋ฒ•๋ก ์„ ๋…ผํ•œ๋‹ค. ์šฐ์„ , ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์นฉ์„ ๋ฌธํ„ฑ ์ „์•• ๊ทผ์ฒ˜์˜ ์ „์••(NTV)์—์„œ ๋™์ž‘์‹œํ‚ค๊ณ ์ž ํ•  ๋•Œ ๋ชจ๋‹ˆํ„ฐ๋ง ํšŒ๋กœ์˜ ์ธก์ •์„ ํ†ตํ•ด ์นฉ ๋‚ด์˜ ๋ชจ๋“  SRAM ๋ธ”๋ก์—์„œ ๋™์ž‘ ์‹คํŒจ๊ฐ€ ๋ฐœ์ƒํ•˜์ง€ ์•Š๋Š” ์ตœ์†Œ ๋™์ž‘ ์ „์••์„ ์ถ”๋ก ํ•˜๋Š” ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์•ˆํ•œ๋‹ค. ์นฉ์„ NTV ์˜์—ญ์—์„œ ๋™์ž‘์‹œํ‚ค๋Š” ๊ฒƒ์€ ์—๋„ˆ์ง€ ํšจ์œจ์„ฑ์„ ์ฆ๋Œ€์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ๋งค์šฐ ํšจ๊ณผ์ ์ธ ๋ฐฉ๋ฒ• ์ค‘ ํ•˜๋‚˜์ด์ง€๋งŒ SRAM์˜ ๊ฒฝ์šฐ ๋™์ž‘ ์‹คํŒจ ๋•Œ๋ฌธ์— ๋™์ž‘ ์ „์••์„ ๋‚ฎ์ถ”๊ธฐ ์–ด๋ ต๋‹ค. ํ•˜์ง€๋งŒ ์นฉ๋งˆ๋‹ค ์˜ํ–ฅ์„ ๋ฐ›๋Š” ๊ณต์ • ๋ณ€์ด๊ฐ€ ๋‹ค๋ฅด๋ฏ€๋กœ ์ตœ์†Œ ๋™์ž‘ ์ „์••์€ ์นฉ๋งˆ๋‹ค ๋‹ค๋ฅด๋ฉฐ, ๋ชจ๋‹ˆํ„ฐ๋ง์„ ํ†ตํ•ด ์ด๋ฅผ ์ถ”๋ก ํ•ด๋‚ผ ์ˆ˜ ์žˆ๋‹ค๋ฉด ์นฉ๋ณ„๋กœ SRAM์— ์„œ๋กœ ๋‹ค๋ฅธ ์ „์••์„ ์ธ๊ฐ€ํ•ด ์—๋„ˆ์ง€ ํšจ์œจ์„ฑ์„ ๋†’์ผ ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ณผ์ •์„ ํ†ตํ•ด ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•œ๋‹ค: (1) ๋””์ž์ธ ์ธํ”„๋ผ ์„ค๊ณ„ ๋‹จ๊ณ„์—์„œ๋Š” SRAM์˜ ์ตœ์†Œ ๋™์ž‘ ์ „์••์„ ์ถ”๋ก ํ•˜๊ณ  ์นฉ ์ƒ์‚ฐ ๋‹จ๊ณ„์—์„œ๋Š” SRAM ๋ชจ๋‹ˆํ„ฐ์˜ ์ธก์ •์„ ํ†ตํ•ด ์ „์••์„ ์ธ๊ฐ€ํ•˜๋Š” ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์•ˆํ•œ๋‹ค; (2) ์นฉ์˜ SRAM ๋น„ํŠธ์…€(bitcell)๊ณผ ์ฃผ๋ณ€ ํšŒ๋กœ๋ฅผ ํฌํ•จํ•œ SRAM ๋ธ”๋ก๋“ค์˜ ๊ณต์ • ๋ณ€์ด๋ฅผ ๋ชจ๋‹ˆํ„ฐ๋งํ•  ์ˆ˜ ์žˆ๋Š” SRAM ๋ชจ๋‹ˆํ„ฐ์™€ SRAM ๋ชจ๋‹ˆํ„ฐ์—์„œ ๋ชจ๋‹ˆํ„ฐ๋งํ•  ๋Œ€์ƒ์„ ์ •์˜ํ•œ๋‹ค; (3) SRAM ๋ชจ๋‹ˆํ„ฐ์˜ ์ธก์ •๊ฐ’์„ ์ด์šฉํ•ด ๊ฐ™์€ ์นฉ์— ์กด์žฌํ•˜๋Š” ๋ชจ๋“  SRAM ๋ธ”๋ก์—์„œ ๋ชฉํ‘œ ์‹ ๋ขฐ์ˆ˜์ค€ ๋‚ด์—์„œ ์ฝ๊ธฐ, ์“ฐ๊ธฐ, ๋ฐ ์ ‘๊ทผ ๋™์ž‘ ์‹คํŒจ๊ฐ€ ๋ฐœ์ƒํ•˜์ง€ ์•Š๋Š” ์ตœ์†Œ ๋™์ž‘ ์ „์••์„ ์ถ”๋ก ํ•œ๋‹ค. ๋ฒค์น˜๋งˆํฌ ํšŒ๋กœ์˜ ์‹คํ—˜ ๊ฒฐ๊ณผ๋Š” ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ œ์•ˆํ•œ ๋ฐฉ๋ฒ•์„ ๋”ฐ๋ผ ์นฉ๋ณ„๋กœ SRAM ๋ธ”๋ก๋“ค์˜ ์ตœ์†Œ ๋™์ž‘ ์ „์••์„ ๋‹ค๋ฅด๊ฒŒ ์ธ๊ฐ€ํ•  ๊ฒฝ์šฐ, ๊ธฐ์กด ๋ฐฉ๋ฒ•๋Œ€๋กœ ๋ชจ๋“  ์นฉ์— ๋™์ผํ•œ ์ „์••์„ ์ธ๊ฐ€ํ•˜๋Š” ๊ฒƒ ๋Œ€๋น„ ์ˆ˜์œจ์€ ๊ฐ™์€ ์ˆ˜์ค€์œผ๋กœ ์œ ์ง€ํ•˜๋ฉด์„œ SRAM ๋น„ํŠธ์…€ ๋ฐฐ์—ด์˜ ์ „๋ ฅ ์†Œ๋ชจ๋ฅผ ๊ฐ์†Œ์‹œํ‚ฌ ์ˆ˜ ์žˆ์Œ์„ ๋ณด์ธ๋‹ค. ๋‘ ๋ฒˆ์งธ๋กœ, ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ํŒŒ์›Œ ๊ฒŒ์ดํŠธ ํšŒ๋กœ์—์„œ ๊ธฐ์กด์˜ ๋ณด์กด์šฉ ๊ณต๊ฐ„ ํ• ๋‹น ๋ฐฉ๋ฒ•๋“ค์ด ์ง€๋‹ˆ๊ณ  ์žˆ๋Š” ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ณ  ๋ˆ„์„ค ์ „๋ ฅ ์†Œ๋ชจ๋ฅผ ๋” ์ค„์ผ ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์•ˆํ•œ๋‹ค. ๊ธฐ์กด์˜ ๋ณด์กด์šฉ ๊ณต๊ฐ„ ํ• ๋‹น ๋ฐฉ๋ฒ•์€ ๋ฉ€ํ‹ฐํ”Œ๋ ‰์„œ ํ”ผ๋“œ๋ฐฑ ๋ฃจํ”„๊ฐ€ ์žˆ๋Š” ๋ชจ๋“  ํ”Œ๋ฆฝํ”Œ๋กญ์—๋Š” ๋ฌด์กฐ๊ฑด ๋ณด์กด์šฉ ๊ณต๊ฐ„์„ ํ• ๋‹นํ•ด์•ผ ํ•ด์•ผ ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๋‹ค์ค‘ ๋น„ํŠธ ๋ณด์กด์šฉ ๊ณต๊ฐ„์˜ ์žฅ์ ์„ ์ถฉ๋ถ„ํžˆ ์‚ด๋ฆฌ์ง€ ๋ชปํ•˜๋Š” ๋ฌธ์ œ๊ฐ€ ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋ฐฉ๋ฒ•์„ ํ†ตํ•ด ๋ณด์กด์šฉ ๊ณต๊ฐ„์„ ์ตœ์†Œํ™”ํ•˜๋Š” ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•œ๋‹ค: (1) ๋ณด์กด์šฉ ๊ณต๊ฐ„ ํ• ๋‹น ๊ณผ์ •์—์„œ ๋ฉ€ํ‹ฐํ”Œ๋ ‰์„œ ํ”ผ๋“œ๋ฐฑ ๋ฃจํ”„๋ฅผ ๋ฌด์‹œํ•  ์ˆ˜ ์žˆ๋Š” ์กฐ๊ฑด์„ ์ œ์‹œํ•˜๊ณ , (2) ํ•ด๋‹น ์กฐ๊ฑด์„ ์ด์šฉํ•ด ๋ฉ€ํ‹ฐํ”Œ๋ ‰์„œ ํ”ผ๋“œ๋ฐฑ ๋ฃจํ”„๊ฐ€ ์žˆ๋Š” ํ”Œ๋ฆฝํ”Œ๋กญ์ด ๋งŽ์ด ์กด์žฌํ•˜๋Š” ํšŒ๋กœ์—์„œ ๋ณด์กด์šฉ ๊ณต๊ฐ„์„ ์ตœ์†Œํ™”ํ•œ๋‹ค; (3) ์ถ”๊ฐ€๋กœ, ํ”Œ๋ฆฝํ”Œ๋กญ์— ์ด๋ฏธ ํ• ๋‹น๋œ ๋ณด์กด์šฉ ๊ณต๊ฐ„ ์ค‘ ์ผ๋ถ€๋ฅผ ์ œ๊ฑฐํ•  ์ˆ˜ ์žˆ๋Š” ์กฐ๊ฑด์„ ์ฐพ๊ณ , ์ด๋ฅผ ์ด์šฉํ•ด ๋ณด์กด์šฉ ๊ณต๊ฐ„์„ ๋” ๊ฐ์†Œ์‹œํ‚จ๋‹ค. ๋ฒค์น˜๋งˆํฌ ํšŒ๋กœ์˜ ์‹คํ—˜ ๊ฒฐ๊ณผ๋Š” ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ œ์•ˆํ•œ ๋ฐฉ๋ฒ•๋ก ์ด ๊ธฐ์กด์˜ ๋ณด์กด์šฉ ๊ณต๊ฐ„ ํ• ๋‹น ๋ฐฉ๋ฒ•๋ก ๋ณด๋‹ค ๋” ์ ์€ ๋ณด์กด์šฉ ๊ณต๊ฐ„์„ ํ• ๋‹นํ•˜๋ฉฐ, ๋”ฐ๋ผ์„œ ์นฉ์˜ ๋ฉด์  ๋ฐ ์ „๋ ฅ ์†Œ๋ชจ๋ฅผ ๊ฐ์†Œ์‹œํ‚ฌ ์ˆ˜ ์žˆ์Œ์„ ๋ณด์ธ๋‹ค.Low power operation of a chip is an important issue, and its importance is increasing as the process technology advances. This dissertation addresses the methodology of operating at low power for each of the SRAM and logic constituting the chip. Firstly, we propose a methodology to infer the minimum operating voltage at which SRAM failure does not occur in all SRAM blocks in the chip operating on near threshold voltage (NTV) regime through the measurement of a monitoring circuit. Operating the chip on NTV regime is one of the most effective ways to increase energy efficiency, but in case of SRAM, it is difficult to lower the operating voltage because of SRAM failure. However, since the process variation on each chip is different, the minimum operating voltage is also different for each chip. If it is possible to infer the minimum operating voltage of SRAM blocks of each chip through monitoring, energy efficiency can be increased by applying different voltage. In this dissertation, we propose a new methodology of resolving this problem. Specifically, (1) we propose to infer minimum operation voltage of SRAM in design infra development phase, and assign the voltage using measurement of SRAM monitor in silicon production phase; (2) we define a SRAM monitor and features to be monitored that can monitor process variation on SRAM blocks including SRAM bitcell and peripheral circuits; (3) we propose a new methodology of inferring minimum operating voltage of SRAM blocks in a chip that does not cause read, write, and access failures under a target confidence level. Through experiments with benchmark circuits, it is confirmed that applying different voltage to SRAM blocks in each chip that inferred by our proposed methodology can save overall power consumption of SRAM bitcell array compared to applying same voltage to SRAM blocks in all chips, while meeting the same yield target. Secondly, we propose a methodology to resolve the problem of the conventional retention storage allocation methods and thereby further reduce leakage power consumption of power gated circuit. Conventional retention storage allocation methods have problem of not fully utilizing the advantage of multi-bit retention storage because of the unavoidable allocation of retention storage on flip-flops with mux-feedback loop. In this dissertation, we propose a new methodology of breaking the bottleneck of minimizing the state retention storage. Specifically, (1) we find a condition that mux-feedback loop can be disregarded during the retention storage allocation; (2) utilizing the condition, we minimize the retention storage of circuits that contain many flip-flops with mux-feedback loop; (3) we find a condition to remove some of the retention storage already allocated to each of flip-flops and propose to further reduce the retention storage. Through experiments with benchmark circuits, it is confirmed that our proposed methodology allocates less retention storage compared to the state-of-the-art methods, occupying less cell area and consuming less power.1 Introduction 1 1.1 Low Voltage SRAM Monitoring Methodology 1 1.2 Retention Storage Allocation on Power Gated Circuit 5 1.3 Contributions of this Dissertation 8 2 SRAM On-Chip Monitoring Methodology for High Yield and Energy Efficient Memory Operation at Near Threshold Voltage 13 2.1 SRAM Failures 13 2.1.1 Read Failure 13 2.1.2 Write Failure 15 2.1.3 Access Failure 16 2.1.4 Hold Failure 16 2.2 SRAM On-chip Monitoring Methodology: Bitcell Variation 18 2.2.1 Overall Flow 18 2.2.2 SRAM Monitor and Monitoring Target 18 2.2.3 Vfail to Vddmin Inference 22 2.3 SRAM On-chip Monitoring Methodology: Peripheral Circuit IR Drop and Variation 29 2.3.1 Consideration of IR Drop 29 2.3.2 Consideration of Peripheral Circuit Variation 30 2.3.3 Vddmin Prediction including Access Failure Prohibition 33 2.4 Experimental Results 41 2.4.1 Vddmin Considering Read and Write Failures 42 2.4.2 Vddmin Considering Read/Write and Access Failures 45 2.4.3 Observation for Practical Use 45 3 Allocation of Always-On State Retention Storage for Power Gated Circuits - Steady State Driven Approach 49 3.1 Motivations and Analysis 49 3.1.1 Impact of Self-loop on Power Gating 49 3.1.2 Circuit Behavior Before Sleeping 52 3.1.3 Wakeup Latency vs. Retention Storage 54 3.2 Steady State Driven Retention Storage Allocation 56 3.2.1 Extracting Steady State Self-loop FFs 57 3.2.2 Allocating State Retention Storage 59 3.2.3 Designing and Optimizing Steady State Monitoring Logic 59 3.2.4 Analysis of the Impact of Steady State Monitoring Time on the Standby Power 63 3.3 Retention Storage Refinement Utilizing Steadiness 65 3.3.1 Extracting Flip-flops for Retention Storage Refinement 66 3.3.2 Designing State Monitoring Logic and Control Signals 68 3.4 Experimental Results 73 3.4.1 Comparison of State Retention Storage 75 3.4.2 Comparison of Power Consumption 79 3.4.3 Impact on Circuit Performance 82 3.4.4 Support for Immediate Power Gating 83 4 Conclusions 89 4.1 Chapter 2 89 4.2 Chapter 3 90๋ฐ•

    Investigation of storage system designs and techniques for optimizing energy conservation in integrated utility systems. Volume 3: (Assessment of technical and cost characteristics of candidate IUS energy storage devices)

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    Six energy storage technologies (inertial, superconducting magnetic, electrochemical, chemical, compressed air, and thermal) were assessed and evaluated for specific applicability to the IUS. To provide a perspective for the individual storage technologies, a brief outline of the general nature of energy storage and its significance to the user is presented

    NASA SBIR abstracts of 1990 phase 1 projects

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    The research objectives of the 280 projects placed under contract in the National Aeronautics and Space Administration (NASA) 1990 Small Business Innovation Research (SBIR) Phase 1 program are described. The basic document consists of edited, non-proprietary abstracts of the winning proposals submitted by small businesses in response to NASA's 1990 SBIR Phase 1 Program Solicitation. The abstracts are presented under the 15 technical topics within which Phase 1 proposals were solicited. Each project was assigned a sequential identifying number from 001 to 280, in order of its appearance in the body of the report. The document also includes Appendixes to provide additional information about the SBIR program and permit cross-reference in the 1990 Phase 1 projects by company name, location by state, principal investigator, NASA field center responsible for management of each project, and NASA contract number
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