This thesis describes possible applications of Prony's method in timing analysis of digital circuits. Such applications include predicting the future shape of the waveform in DTA(Dynamic Timing Analysis) and delay look-up table in STA(Static Timing Analysis). Given some equally spaced output values, the traditional Prony's method can be used to extract poles and residues of a linear system, i.e. to characterize a waveform using an exponential function. In this thesis, not only values but also equally spaced derivatives are tested. Still using same idea of the traditional Prony's method, poles and residues can also be extracted with those values and derivatives. The resultant poles and residues will be used to predict the output waveform in DTA analysis. The benefits brought by the using of derivatives include less simulation steps and less CPU time consuming than the regular constant step simulation. As a matter of fact, the Prony's method can precisely approximate a complicated waveform. Such property can be applied for STA analysis. The Prony's approximation can be used to precisely record an output waveform, which is used as an entry of the look-up table of STA. Since the accuracy of STA analysis relies on the accuracy of the input and output waveform in the look-up table, the accuracy of the Prony's approach is promising.

Este trabalho introduz o conceito de cortes k e cortes kl sobre um circuito mapeado, em uma representação netlist. Esta nova abordagem é derivada do conceito de cortes k e cortes kl sobre AIGs (and inverter graphs), respeitando as diferenças entre essas duas formas de representar um circuito. As principais diferenças são: (1) o número de entradas em um nodo do grafo, e (2) a presença de inversores e buffers de forma explícita no circuito mapeado. Um algoritmo para enumerar cortes k e cortes kl é proposto e implementado. A principal motivação de usar cortes kl sobre circuitos mapeados é para realizar otimizações locais na síntese lógica de circuitos digitais. A principal contribuição deste trabalho é uma abordagem nova de remapeamento iterativo, utilizando cortes kl, reduzindo a área do circuito e respeitando as restrições de temporização do circuito. O uso de portas lógicas complexas pode potencialmente reduzir a área total de um circuito, mas elas precisam ser escolhidas corretamente de forma a manter as restrições de temporização do circuito. Ferramentas comerciais de síntese lógica trabalham melhor com portas lógicas simples e não são capazes de explorar eventuais vantagens em utilizar portas lógicas complexas. A abordagem proposta de remapeamento iterativo utilizando cortes kl é capaz de explorar uma quantidade maior de portas lógicas com funções lógicas diferentes, reduzindo a área do circuito, e mantendo as restrições de temporização intactas ao fazer uma checagem STA (análise temporal estática). Resultados experimentais mostram uma redução de até 38% de área na parte combinacional de circuitos para um subconjunto de benchmarks IWLS 2005, quando comparados aos resultados de ferramentas comerciais de síntese lógica. Outra contribuição deste trabalho é um novo modelo de rendimento (yield) para fabricação de circuitos integrados (IC) digitais, considerando problemas de resolução da etapa de litografia como uma fonte de diminuição do yield. O uso de leiautes regulares pode melhorar bastante a resolução da etapa de litografia, mas existe um aumento de área significativo ao se introduzir a regularidade. Esta é a primeira abordagem que considera o compromisso (trade off) de portas lógicas com diferentes níveis de regularidade e diferentes áreas durante a síntese lógica, de forma a melhorar o yield do projeto. A ferramenta desenvolvida de remapeamento tecnológico utilizando cortes kl foi modificada de forma a utilizar esse modelo de yield como função custo, de forma a aumentar o número de boas amostras (dies) por lâmina de silício (wafer), com resultados promissores. / This work introduces the concept of k-cuts and kl-cuts on top of a mapped circuit in a netlist representation. Such new approach is derived from the concept of k-cuts and klcuts on top of AIGs (and inverter graphs), respecting the differences between these two circuit representations. The main differences are: (1) the number of allowed inputs for a logic node, and (2) the presence of explicit inverters and buffers in the netlist. Algorithms for enumerating k-cuts and kl-cuts on top of a mapped circuit are proposed and implemented. The main motivation to use kl-cuts on top mapped circuits is to perform local optimization in digital circuit logic synthesis. The main contribution of this work is a novel iterative remapping approach using klcuts, reducing area while keeping the timing constraints attained. The use of complex gates can potentially reduce the circuit area, but they have to be chosen wisely to preserve timing constraints. Logic synthesis commercial design tools work better with simple cells and are not capable of taking full advantage of complex cells. The proposed iterative remapping approach can exploit a larger amount of logic gates, reducing circuit area, and respecting global timing constraints by performing an STA (static timing analysis) check. Experimental results show that this approach is able to reduce up to 38% in area of the combinational portion of circuits for a subset of IWLS 2005 benchmarks, when compared to results obtained from logic synthesis commercial tools. Another contribution of this work is a novel yield model for digital integrated circuits (IC) manufacturing, considering lithography printability problems as a source of yield loss. The use of regular layouts can improve the lithography, but it results in a significant area overhead by introducing regularity. This is the first approach that considers the tradeoff of cells with different level of regularity and different area overhead during the logic synthesis, in order to improve overall design yield. The technology remapping tool based on kl-cuts developed was modified in order to use such yield model as cost function, improving the number of good dies per wafer, with promising interesting results.

Este trabalho introduz o conceito de cortes k e cortes kl sobre um circuito mapeado, em uma representação netlist. Esta nova abordagem é derivada do conceito de cortes k e cortes kl sobre AIGs (and inverter graphs), respeitando as diferenças entre essas duas formas de representar um circuito. As principais diferenças são: (1) o número de entradas em um nodo do grafo, e (2) a presença de inversores e buffers de forma explícita no circuito mapeado. Um algoritmo para enumerar cortes k e cortes kl é proposto e implementado. A principal motivação de usar cortes kl sobre circuitos mapeados é para realizar otimizações locais na síntese lógica de circuitos digitais. A principal contribuição deste trabalho é uma abordagem nova de remapeamento iterativo, utilizando cortes kl, reduzindo a área do circuito e respeitando as restrições de temporização do circuito. O uso de portas lógicas complexas pode potencialmente reduzir a área total de um circuito, mas elas precisam ser escolhidas corretamente de forma a manter as restrições de temporização do circuito. Ferramentas comerciais de síntese lógica trabalham melhor com portas lógicas simples e não são capazes de explorar eventuais vantagens em utilizar portas lógicas complexas. A abordagem proposta de remapeamento iterativo utilizando cortes kl é capaz de explorar uma quantidade maior de portas lógicas com funções lógicas diferentes, reduzindo a área do circuito, e mantendo as restrições de temporização intactas ao fazer uma checagem STA (análise temporal estática). Resultados experimentais mostram uma redução de até 38% de área na parte combinacional de circuitos para um subconjunto de benchmarks IWLS 2005, quando comparados aos resultados de ferramentas comerciais de síntese lógica. Outra contribuição deste trabalho é um novo modelo de rendimento (yield) para fabricação de circuitos integrados (IC) digitais, considerando problemas de resolução da etapa de litografia como uma fonte de diminuição do yield. O uso de leiautes regulares pode melhorar bastante a resolução da etapa de litografia, mas existe um aumento de área significativo ao se introduzir a regularidade. Esta é a primeira abordagem que considera o compromisso (trade off) de portas lógicas com diferentes níveis de regularidade e diferentes áreas durante a síntese lógica, de forma a melhorar o yield do projeto. A ferramenta desenvolvida de remapeamento tecnológico utilizando cortes kl foi modificada de forma a utilizar esse modelo de yield como função custo, de forma a aumentar o número de boas amostras (dies) por lâmina de silício (wafer), com resultados promissores. / This work introduces the concept of k-cuts and kl-cuts on top of a mapped circuit in a netlist representation. Such new approach is derived from the concept of k-cuts and klcuts on top of AIGs (and inverter graphs), respecting the differences between these two circuit representations. The main differences are: (1) the number of allowed inputs for a logic node, and (2) the presence of explicit inverters and buffers in the netlist. Algorithms for enumerating k-cuts and kl-cuts on top of a mapped circuit are proposed and implemented. The main motivation to use kl-cuts on top mapped circuits is to perform local optimization in digital circuit logic synthesis. The main contribution of this work is a novel iterative remapping approach using klcuts, reducing area while keeping the timing constraints attained. The use of complex gates can potentially reduce the circuit area, but they have to be chosen wisely to preserve timing constraints. Logic synthesis commercial design tools work better with simple cells and are not capable of taking full advantage of complex cells. The proposed iterative remapping approach can exploit a larger amount of logic gates, reducing circuit area, and respecting global timing constraints by performing an STA (static timing analysis) check. Experimental results show that this approach is able to reduce up to 38% in area of the combinational portion of circuits for a subset of IWLS 2005 benchmarks, when compared to results obtained from logic synthesis commercial tools. Another contribution of this work is a novel yield model for digital integrated circuits (IC) manufacturing, considering lithography printability problems as a source of yield loss. The use of regular layouts can improve the lithography, but it results in a significant area overhead by introducing regularity. This is the first approach that considers the tradeoff of cells with different level of regularity and different area overhead during the logic synthesis, in order to improve overall design yield. The technology remapping tool based on kl-cuts developed was modified in order to use such yield model as cost function, improving the number of good dies per wafer, with promising interesting results.

Este trabalho introduz o conceito de cortes k e cortes kl sobre um circuito mapeado, em uma representação netlist. Esta nova abordagem é derivada do conceito de cortes k e cortes kl sobre AIGs (and inverter graphs), respeitando as diferenças entre essas duas formas de representar um circuito. As principais diferenças são: (1) o número de entradas em um nodo do grafo, e (2) a presença de inversores e buffers de forma explícita no circuito mapeado. Um algoritmo para enumerar cortes k e cortes kl é proposto e implementado. A principal motivação de usar cortes kl sobre circuitos mapeados é para realizar otimizações locais na síntese lógica de circuitos digitais. A principal contribuição deste trabalho é uma abordagem nova de remapeamento iterativo, utilizando cortes kl, reduzindo a área do circuito e respeitando as restrições de temporização do circuito. O uso de portas lógicas complexas pode potencialmente reduzir a área total de um circuito, mas elas precisam ser escolhidas corretamente de forma a manter as restrições de temporização do circuito. Ferramentas comerciais de síntese lógica trabalham melhor com portas lógicas simples e não são capazes de explorar eventuais vantagens em utilizar portas lógicas complexas. A abordagem proposta de remapeamento iterativo utilizando cortes kl é capaz de explorar uma quantidade maior de portas lógicas com funções lógicas diferentes, reduzindo a área do circuito, e mantendo as restrições de temporização intactas ao fazer uma checagem STA (análise temporal estática). Resultados experimentais mostram uma redução de até 38% de área na parte combinacional de circuitos para um subconjunto de benchmarks IWLS 2005, quando comparados aos resultados de ferramentas comerciais de síntese lógica. Outra contribuição deste trabalho é um novo modelo de rendimento (yield) para fabricação de circuitos integrados (IC) digitais, considerando problemas de resolução da etapa de litografia como uma fonte de diminuição do yield. O uso de leiautes regulares pode melhorar bastante a resolução da etapa de litografia, mas existe um aumento de área significativo ao se introduzir a regularidade. Esta é a primeira abordagem que considera o compromisso (trade off) de portas lógicas com diferentes níveis de regularidade e diferentes áreas durante a síntese lógica, de forma a melhorar o yield do projeto. A ferramenta desenvolvida de remapeamento tecnológico utilizando cortes kl foi modificada de forma a utilizar esse modelo de yield como função custo, de forma a aumentar o número de boas amostras (dies) por lâmina de silício (wafer), com resultados promissores. / This work introduces the concept of k-cuts and kl-cuts on top of a mapped circuit in a netlist representation. Such new approach is derived from the concept of k-cuts and klcuts on top of AIGs (and inverter graphs), respecting the differences between these two circuit representations. The main differences are: (1) the number of allowed inputs for a logic node, and (2) the presence of explicit inverters and buffers in the netlist. Algorithms for enumerating k-cuts and kl-cuts on top of a mapped circuit are proposed and implemented. The main motivation to use kl-cuts on top mapped circuits is to perform local optimization in digital circuit logic synthesis. The main contribution of this work is a novel iterative remapping approach using klcuts, reducing area while keeping the timing constraints attained. The use of complex gates can potentially reduce the circuit area, but they have to be chosen wisely to preserve timing constraints. Logic synthesis commercial design tools work better with simple cells and are not capable of taking full advantage of complex cells. The proposed iterative remapping approach can exploit a larger amount of logic gates, reducing circuit area, and respecting global timing constraints by performing an STA (static timing analysis) check. Experimental results show that this approach is able to reduce up to 38% in area of the combinational portion of circuits for a subset of IWLS 2005 benchmarks, when compared to results obtained from logic synthesis commercial tools. Another contribution of this work is a novel yield model for digital integrated circuits (IC) manufacturing, considering lithography printability problems as a source of yield loss. The use of regular layouts can improve the lithography, but it results in a significant area overhead by introducing regularity. This is the first approach that considers the tradeoff of cells with different level of regularity and different area overhead during the logic synthesis, in order to improve overall design yield. The technology remapping tool based on kl-cuts developed was modified in order to use such yield model as cost function, improving the number of good dies per wafer, with promising interesting results.

This thesis describes possible applications of Prony's method in timing analysis of digital circuits. Such applications include predicting the future shape of the waveform in DTA(Dynamic Timing Analysis) and delay look-up table in STA(Static Timing Analysis). Given some equally spaced output values, the traditional Prony's method can be used to extract poles and residues of a linear system, i.e. to characterize a waveform using an exponential function. In this thesis, not only values but also equally spaced derivatives are tested. Still using same idea of the traditional Prony's method, poles and residues can also be extracted with those values and derivatives. The resultant poles and residues will be used to predict the output waveform in DTA analysis. The benefits brought by the using of derivatives include less simulation steps and less CPU time consuming than the regular constant step simulation. As a matter of fact, the Prony's method can precisely approximate a complicated waveform. Such property can be applied for STA analysis. The Prony's approximation can be used to precisely record an output waveform, which is used as an entry of the look-up table of STA. Since the accuracy of STA analysis relies on the accuracy of the input and output waveform in the look-up table, the accuracy of the Prony's approach is promising.

No description available.

<p>Real-time systems do not only require that the logical operations are correct. Equally important is that the specified time constraints always are complied. This has successfully been studied before for mono-processor systems. However, as the hardware in the systems gets more complex, the previous approaches become invalidated. For example, multi-processor systems-on-chip (MPSoC) get more and more common every day, and together with a shared memory, the bus access time is unpredictable in nature. This has recently been resolved, but a safe and not too pessimistic cache analysis approach for MPSoC has not been investigated before. This thesis has resulted in designed and implemented algorithms for cache analysis on real-time MPSoC with a shared communication infrastructure. An additional advantage is that the algorithms include improvements compared to previous approaches for mono-processor systems. The verification of these algorithms has been performed with the help of data flow analysis theory. Furthermore, it is not known how different types of cache miss characteristic of a task influence the worst case execution time on MPSoC. Therefore, a program that generates randomized tasks, according to different parameters, has been constructed. The parameters can, for example, influence the complexity of the control flow graph and average distance between the cache misses.</p>

Real-time systems do not only require that the logical operations are correct. Equally important is that the specified time constraints always are complied. This has successfully been studied before for mono-processor systems. However, as the hardware in the systems gets more complex, the previous approaches become invalidated. For example, multi-processor systems-on-chip (MPSoC) get more and more common every day, and together with a shared memory, the bus access time is unpredictable in nature. This has recently been resolved, but a safe and not too pessimistic cache analysis approach for MPSoC has not been investigated before. This thesis has resulted in designed and implemented algorithms for cache analysis on real-time MPSoC with a shared communication infrastructure. An additional advantage is that the algorithms include improvements compared to previous approaches for mono-processor systems. The verification of these algorithms has been performed with the help of data flow analysis theory. Furthermore, it is not known how different types of cache miss characteristic of a task influence the worst case execution time on MPSoC. Therefore, a program that generates randomized tasks, according to different parameters, has been constructed. The parameters can, for example, influence the complexity of the control flow graph and average distance between the cache misses.

This thesis focuses on random local delay variability measurement and its modeling. It explains a circuit technique to measure the individual logic gate delay in silicon to study within-die variation. It also suggests a Process, Voltage and Temperature (PVT)-aware gate delay model for voltage and temperature scalable linear Statistical Static Timing Analysis (SSTA). Technology scaling allows packing billions of transistors inside a single chip. However, it is difficult to fabricate very small transistor with deterministic characteristic which leads to variations. Transistor level random local variations are growing rapidly in each technology generation. However, there is requirement of quantification of variation in silicon. We propose an all-digital circuit technique to measure the on-chip delay of an individual logic gate (both inverting and non-inverting) in its unmodified form based on a reconfigurable ring oscillator structure. A test chip is fabricated in 65nm technology node to show the feasibility of the technique. Delay measurements of different nominally identical inverters in close physical proximity show variations of up to 28% indicating the large impact of local variations. The huge random delay variation in silicon motivates the inclusion of random local process parameters in delay model. In today’s low power design with multiple supply domain leads to non-uniform supply profile. The switching activity across the chip is not uniform which leads to variation of temperature. Accurate timing prediction motivates the necessity of Process, Voltage and Temperature (PVT) aware delay model. We use neural networks, which are well known for their ability to approximate any arbitrary continuous function. We show how the model can be used to derive sensitivities required for voltage and temperature scalable linear SSTA for an arbitrary voltage and temperature point. Using the voltage and temperature scalable linear SSTA on ISCAS 85 benchmark shows promising results with average error in mean delay is less than 1.08% and average error in standard deviation is less than 2.65% and errors in predicting the 99% and 1% probability point are 1.31% and 1% respectively with respect to SPICE.

As IC technologies scale to the nanometer regime, efficient and accurate modeling and analysis of VLSI systems with billions of transistors and interconnects becomes increasingly critical and difficult. VLSI systems impacted by the increasingly high dimensional process-voltage-temperature (PVT) variations demand much more modeling and analysis efforts than ever before, while the analysis of large scale on-chip interconnects that requires solving tens of millions of unknowns imposes great challenges in computer aided design areas. This dissertation presents new methodologies for addressing the above two important challenging issues for large scale on-chip interconnect modeling and analysis: In the past, the standard statistical circuit modeling techniques usually employ principal component analysis (PCA) and its variants to reduce the parameter dimensionality. Although widely adopted, these techniques can be very limited since parameter dimension reduction is achieved by merely considering the statistical distributions of the controlling parameters but neglecting the important correspondence between these parameters and the circuit performances (responses) under modeling. This dissertation presents a variety of performance-oriented parameter dimension reduction methods that can lead to more than one order of magnitude parameter reduction for a variety of VLSI circuit modeling and analysis problems. The sheer size of present day power/ground distribution networks makes their analysis and verification tasks extremely runtime and memory inefficient, and at the same time, limits the extent to which these networks can be optimized. Given today?s commodity graphics processing units (GPUs) that can deliver more than 500 GFlops (Flops: floating point operations per second). computing power and 100GB/s memory bandwidth, which are more than 10X greater than offered by modern day general-purpose quad-core microprocessors, it is very desirable to convert the impressive GPU computing power to usable design automation tools for VLSI verification. In this dissertation, for the first time, we show how to exploit recent massively parallel single-instruction multiple-thread (SIMT) based graphics processing unit (GPU) platforms to tackle power grid analysis with very promising performance. Our GPU based network analyzer is capable of solving tens of millions of power grid nodes in just a few seconds. Additionally, with the above GPU based simulation framework, more challenging three-dimensional full-chip thermal analysis can be solved in a much more efficient way than ever before.