scholarly journals Timing Optimization During the Physical Synthesis of Cell-Based VLSI Circuits

2017 ◽  
Author(s):  
Vinícius Dos Santos Livramento ◽  
José Luís Güntzel

The evolution of CMOS technology made possible integrated circuits with billions of transistors assembled into a single silicon chip, giving rise to the jargon Very-Large-Scale Integration (VLSI). VLSI circuits span a wide range class of applications, including Application Specific Circuits and Systems-On-Chip. The latter are responsible for fueling the consumer electronics market, especially in the segment of smartphones and tablets, which are responsible for pushing hardware performance requirements every new generation. The required clock frequency affects the performance of a VLSI circuit and induces timing constraints that must be properly handled by synthesis tools. This thesis focuses on techniques for timing closure of cellbased VLSI circuits, i.e. techniques able to iteratively reduce the number of timing violations until the synthesis of the synchronous digital system reaches the specified target frequency.

1982 ◽  
Vol 18 ◽  
Author(s):  
S. Simon Cohen

The problem of low resistance ohmic contacts to silicon has been of considerable technological interest. In recent years this problem has received special attention owing to the effect of scaling in very-large-scale integration (VLSI) technology. The field of ohmic contacts to semiconductors comprises two independent parts. First there exists the material science aspect. The choice of a suitable metallization system, the proper semiconductor parameters and the method of the contact formation is not obvious. Then there is the question of the proper definition of the contact resistance and the way it is measured.Several methods for contact resistance determination have been introduced in the past. All seem to have some drawbacks that either limit their usefulness or raise doubts as to their validity in certain situations. We shall discuss the two-, three- and four-terminal resistor methods of measurement. Relevant theoretical considerations will also be included.For conventional integrated circuits with a moderate junction depth of 1–2 μm, aluminum is uniquely suited as a single-element metallization system. However, for VLSI applications it may become obsolete because of several well-defined metallurgical problems. Thus, other metallization systems have to be investigated. We shall briefly discuss some recent data on several other metallization systems. Finally, the problem of size effects on the contact resistance will be discussed. Recent experimental results suggest important clues regarding the development of alternative metallization systems for VLSI circuits and also point to revisions of estimates of achievable design rules.


MRS Bulletin ◽  
1993 ◽  
Vol 18 (6) ◽  
pp. 46-51 ◽  
Author(s):  
S.P. Murarka ◽  
J. Steigerwald ◽  
R.J. Gutmann

Continuing advances in the fields of very-large-scale integration (VLSI), ultralarge-scale integration (ULSI), and gigascale integration (GSI), leading to the continuing development of smaller and smaller devices, have continually challenged the fields of materials, processes, and circuit designs. The existing metallization schemes for ohmic contacts, gate metal, and interconnections are inadequate for the ULSI and GSI era. An added concern is the reliability of aluminum and its alloys as the current carrier. Also, the higher resistivity of Al and its use in two-dimensional networks have been considered inadequate, since they lead to unacceptably high values of the so-called interconnection delay or RC delay, especially in microprocessors and application-specific integrated circuits (ICs). Here, R refers to the resistance of the interconnection and C to the total capacitance associated with the interlayer dielectric. For the fastest devices currently available and faster ones of the future, the RC delay must be reduced to such a level that the contribution of RC to switching delays (access time) becomes a small fraction of the total, which is a sum of the inherent device delay associated with the semiconductor, the device geometry and type, and the RC delay.


Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4771
Author(s):  
Hyunyul Lim ◽  
Minho Cheong ◽  
Sungho Kang

Scan structures, which are widely used in cryptographic circuits for wireless sensor networks applications, are essential for testing very-large-scale integration (VLSI) circuits. Faults in cryptographic circuits can be effectively screened out by improving testability and test coverage using a scan structure. Additionally, scan testing contributes to yield improvement by identifying fault locations. However, faults in circuits cannot be tested when a fault occurs in the scan structure. Moreover, various defects occurring early in the manufacturing process are expressed as faults of scan chains. Therefore, scan-chain diagnosis is crucial. However, it is difficult to obtain a sufficiently high diagnosis resolution and accuracy through the conventional scan-chain diagnosis. Therefore, this article proposes a novel scan-chain diagnosis method using regression and fan-in and fan-out filters that require shorter training and diagnosis times than existing scan-chain diagnoses do. The fan-in and fan-out filters, generated using a circuit logic structure, can highlight important features and remove unnecessary features from raw failure vectors, thereby converting the raw failure vectors to fan-in and fan-out vectors without compromising the diagnosis accuracy. Experimental results confirm that the proposed scan-chain-diagnosis method can efficiently provide higher resolutions and accuracies with shorter training and diagnosis times.


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
David W. McKellar ◽  
Lauren D. Walter ◽  
Leo T. Song ◽  
Madhav Mantri ◽  
Michael F. Z. Wang ◽  
...  

AbstractSkeletal muscle repair is driven by the coordinated self-renewal and fusion of myogenic stem and progenitor cells. Single-cell gene expression analyses of myogenesis have been hampered by the poor sampling of rare and transient cell states that are critical for muscle repair, and do not inform the spatial context that is important for myogenic differentiation. Here, we demonstrate how large-scale integration of single-cell and spatial transcriptomic data can overcome these limitations. We created a single-cell transcriptomic dataset of mouse skeletal muscle by integration, consensus annotation, and analysis of 23 newly collected scRNAseq datasets and 88 publicly available single-cell (scRNAseq) and single-nucleus (snRNAseq) RNA-sequencing datasets. The resulting dataset includes more than 365,000 cells and spans a wide range of ages, injury, and repair conditions. Together, these data enabled identification of the predominant cell types in skeletal muscle, and resolved cell subtypes, including endothelial subtypes distinguished by vessel-type of origin, fibro-adipogenic progenitors defined by functional roles, and many distinct immune populations. The representation of different experimental conditions and the depth of transcriptome coverage enabled robust profiling of sparsely expressed genes. We built a densely sampled transcriptomic model of myogenesis, from stem cell quiescence to myofiber maturation, and identified rare, transitional states of progenitor commitment and fusion that are poorly represented in individual datasets. We performed spatial RNA sequencing of mouse muscle at three time points after injury and used the integrated dataset as a reference to achieve a high-resolution, local deconvolution of cell subtypes. We also used the integrated dataset to explore ligand-receptor co-expression patterns and identify dynamic cell-cell interactions in muscle injury response. We provide a public web tool to enable interactive exploration and visualization of the data. Our work supports the utility of large-scale integration of single-cell transcriptomic data as a tool for biological discovery.


Author(s):  
Ayush Tiwari

Recently, consumption of power is key problem of logic circuits based on Very Large Scale Integration. More potentiality consumption isn’t considered an appropriate for storage cell life for the use in cell operations and changes parameters such as optimality, efficiency etc, more consumption of power also provides for minimization of cell storage cycle. In present scenario static consumption of power is major troubles in logic circuits based on CMOS. Layout of drainage less circuit is typically complex. Several derived methods for minimization of consumption of potentiality for logic circuits based on CMOS. For this research paper, a technique called Advance Leakage reduction (AL reduction) is proposed to reduce the leakage power in CMOS logic circuits. To draw our structure circuit related to CMOS like Inverter, inverted AND, and NOR etc. we have seen the power and delay for circuits. This paper incorporates, analyzing of several minimization techniques as compared with proposed work to illustrate minimization in ratio of energy and time usage and time duration for propagation. LECTOR, Source biasing, Stack ONOFIC method is observed and analyzed with the proposed method to evaluate the leakage power consumption and propagation delay for logic circuits based on CMOS. Entire work has done in LT Spice Software with 180nm library of CMOS.


2009 ◽  
Vol 6 (1) ◽  
pp. 38-41
Author(s):  
Lewis Dove

Mixed-signal Application Specific Integrated Circuits (ASICs) have traditionally been used in test and measurement applications for a variety of functions such as data converters, pin electronics circuitry, drivers, and receivers. Over the past several years, the complexity, power density, and bandwidth of these chips has increased dramatically. This has necessitated dramatic changes in the way these chips have been packaged. As the chips have become true VLSI (Very Large Scale Integration) ICs, the number of I/Os have become too large to interconnect with wire bonds. Thus, it has become necessary to utilize flip chip interconnects. Also, the bandwidth of the high-speed signal paths and clocks has increased into the multi Gbit or GHz ranges. This requires the use of packages with good high-frequency performance which are designed using microwave circuit techniques to optimize signal integrity and to minimize signal crosstalk and noise.


Author(s):  
Liang Guang ◽  
Juha Plosila ◽  
Hannu Tenhunen

Dependability is a primary concern for emerging billion-transistor SoCs (Systems-on-Chip), especially when the constant technology scaling introduces an increasing rate of faults and errors. Considering the time-dependent device degradation (e.g. caused by aging and run-time voltage and temperature variations), self-adaptive circuits and architectures to improve dependability is promising and very likely inevitable. This chapter extensively surveys existing works on monitoring, decision-making, and reconfiguration addressing different dependability threats to Very Large Scale Integration (VLSI) chips. Centralized, distributed, and hierarchical fault management, utilizing various redundancy schemes and exploiting logical or physical reconfiguration methods, are all examined. As future research directions, the challenge of integrating different error management schemes to account for multifold threats and the great promise of error resilient computing are identified. This chapter provides, for chip designers, much needed insights on applying a self-adaptive computing paradigm to approach dependability on error-prone, cost-sensitive SoCs.


2018 ◽  
Vol 51 (7-8) ◽  
pp. 235-242 ◽  
Author(s):  
Arulmurugan Azhaganantham ◽  
Murugesan Govindasamy

High temperature occurs in testing of complex System-on-Chip designs and it may become a critical concern to be carefully taken into account with continual development in Very Large Scale Integration technology. Peak temperature significantly affects the reliability and the performance of the chip. So it is essential to minimize the peak temperature of the chip. Heat generation by power consumption and heat dissipation to the surrounding blocks are the two prominent factors for the peak temperature. Power consumption can be minimized by a careful mapping of don’t cares in precomputed test set. However, it does not provide the solution to peak temperature minimization because the non-uniformity in spatial power distribution may create localized heating event called “hotspot.” The peak temperature on the hotspot is minimized by Genetic Algorithm–based don’t care filling technique that reduces the non-uniformity in spatial power distribution within the circuit under test while maintaining the overall power consumption at a lower level. Experimental results on ISCAS89 benchmark circuits demonstrate that 6%–28% peak temperature reduction can be achieved.


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