Lagrangian relaxation-based multi-threaded discrete gate sizer

In integrated circuit design gate sizing is one of the key optimization techniques which is repeatedly invoked to trade-off delays for area and/or power of the gates during logic design and physical design stages. With increasing design sizes of a million gates and larger, discrete gate sizes and non-convex delay models the gate sizing algorithms that were designed for continuous sizes and convex delay models are slow and timing inaccurate. Of the several published discrete gate sizing algorithms, recent works have shown that Lagrangian relaxation based gate sizers have produced designs with the lowest power on average with high timing accuracy. But they are also very slow due to a large number of expensive timing updates spread across hundreds of iterations of solving the Lagrangian sub-problem. In this thesis we present a Lagrangian relaxation based multi-threaded discrete gate sizer for fast timing and power reduction by swapping the gate sizes and the threshold voltages. We developed two parallelization enabling techniques to reduce the runtime of Lagrangian sub-problem solver, namely, mutual exclusion edge (MEE) assignment and directed acyclic graph (DAG) based netlist traversal. MEEs are dummy edges assigned to reduce computational dependencies among gates sharing one or more common fan-ins. DAG based netlist traversal facilitates simultaneous resizing of gates belonging to different topological levels. We designed a Lagrange multiplier update framework that enables rapid convergence of the timing recovery and power recovery algorithms. To reduce the runtime of timing updates, we proposed a simple and fast-to-compute effective capacitance model and several mechanisms to calibrate the timing models to improve their accuracy. Compared to the state-of-the-art gate sizer, our proposed gate sizer is on average 15x faster and the optimized designs have only 1.7\% higher power. In digital synchronous designs simultaneous gate sizing and clock skew scheduling provides significantly more power saving. We extend the gate sizer to simultaneously schedule the clock skew. It can achieve an average of 18.8\% more reduction in power with only 20\% increase in the runtime

Design methodologies for variation-aware integrated circuits

The scaling of VLSI technology has spurred a rapid growth in the semiconductor industry. With the CMOS device dimension scaling to and beyond 90nm technology, it is possible to achieve higher performance and to pack more complex functionalities on a single chip. However, the scaling trend has introduced drastic variation of process and design parameters, leading to severe variability of chip performance in nanometer regime. Also, the manufacturing community projects CMOS will scale for three to four more generations. Since the uncertainties due to variations are expected to increase in each generation, it will significantly impact the performance of design and consequently the yield. Another challenging issue in the nanometer IC design is the high power consumption due to the greater packing density, higher frequency of operation and excessive leakage power. Moreover, the circuits are usually over-designed to compensate for uncertainties due to variations. The over-designed circuits not only make timing closure difficult but also cause excessive power consumption. For portable electronics, excessive power consumption may reduce battery life; for non-portable systems it may impose great difficulties in cooling and packaging. The objective of my research has been to develop design methodologies to address variations and power dissipation for reliable circuit operation. The proposed work has been divided into three parts: the first part addresses the issues related with power/ground noise induced by clock distribution network and proposes techniques to reduce power/ground noise considering the effects of process variations. The second part proposes an elastic pipeline scheme for random circuits with feedback loops. The proposed scheme provides a low-power solution that has the same variation tolerance as the conventional approaches. The third section deals with discrete buffer and wire sizing for link-based non-tree clock network, which is an energy efficient structure for skew tolerance to variations. For the power/ground noise problem, our approach could reduce the peak current and the delay variations by 50% and 51% respectively. Compared to conventional approach, the elastic timing scheme reduces power dissipation by 20% − 27%. The sizing method achieves clock skew reduction of 45% with a small increase in power dissipation

Circuit Optimization Using Efficient Parallel Pattern Search

Circuit optimization is extremely important in order to design today's high performance integrated circuits. As systems become more and more complex, traditional optimization techniques are no longer viable due to the complex and simulation intensive nature of the optimization problem. Two examples of such problems include clock mesh skew reduction and optimization of large analog systems, for example Phase locked loops. Mesh-based clock distribution has been employed in many high-performance microprocessor designs due to its favorable properties such as low clock skew and robustness. However, such clock distributions can become quite complex and may consist of hundreds of nonlinear drivers strongly coupled via a large passive network. While the simulation of clock meshes is already very time consuming, tuning such networks under tight performance constraints is an even daunting task. Same is the case with the phase locked loop. Being composed of multiple individual analog blocks, it is an extremely challenging task to optimize the entire system considering all block level trade-offs. In this work, we address these two challenging optimization problems i.e.; clock mesh skew optimization and PLL locking time reduction. The expensive objective function evaluations and difficulty in getting explicit sensitivity information make these problems intractable to standard optimization methods. We propose to explore the recently developed asynchronous parallel pattern search (APPS) method for efficient driver size tuning. While being a search-based method, APPS not only provides the desirable derivative-free optimization capability, but also is amenable to parallelization and possesses appealing theoretically rigorous convergence properties. In this work it is shown how such a method can lead to powerful parallel optimization of these complex problems with significant runtime and quality advantages over the traditional sequential quadratic programming (SQP) method. It is also shown how design-specific properties and speeding-up techniques can be exploited to make the optimization even more efficient while maintaining the convergence of APPS in a practical sense. In addition, the optimization technique is further enhanced by introducing the feature to handle non-linear constraints through the use of penalty functions. The enhanced method is used for optimizing phase locked loops at the system level

Variation and power issues in VLSI clock networks

Clock Distribution Network (CDN) is an important component of any synchronous logic circuit. The function of CDN is to deliver the clock signal to the clock sinks. Clock skew is defined as the difference in the arrival time of the clock signal at the clock sinks. Higher uncertainty in skew (due to PVT variations) degrades circuit performance by decreasing the maximum possible delay between any two sequential elements. Aggressive frequency scaling has also led to high power consumption especially in CDN. This dissertation addresses variation and power issues in the design of current and potential future CDN. The research detailed in this work presents algorithmic techniques for the following problems: (1) Variation tolerance in useful skew design, (2) Link insertion for buffered clock nets, (3) Methodology and algorithms for rotary clocking and (4) Clock mesh optimization for skew-power trade off. For clock trees this dissertation presents techniques to integrate the different aspects of clock tree synthesis (skew scheduling, abstract topology and layout embedding) into one framework- tolerance to variations. This research addresses the issues involved in inserting cross-links in a buffered clock tree and proposes design criteria to avoid the risk of short-circuit current. Rotary clocking is a promising new clocking scheme that consists of unterminated rings formed by differential transmission lines. Rotary clocking achieves reduction in power dissipation clock skew. This dissertation addresses the issues in adopting current CAD methodology to rotary clocks. Alternative methodology and corresponding algorithmic techniques are detailed. Clock mesh is a popular form of CDN used in high performance systems. The problem of simultaneous sizing and placement of mesh buffers in a clock mesh is addressed. The algorithms presented remove the edges from the clock mesh to trade off skew tolerance for low power. For clock trees as well as link insertion, our experiments indicate significant reduction in clock skew due to variations. For clock mesh, experimental results indicate 18.5% reduction in power with 1.3% delay penalty on a average. In summary, this dissertation details methodologies/algorithms that address two critical issues- variation and power dissipation in current and potential future CDN

Enhancing Power Efficient Design Techniques in Deep Submicron Era

Excessive power dissipation has been one of the major bottlenecks for design and manufacture in the past couple of decades. Power efficient design has become more and more challenging when technology scales down to the deep submicron era that features the dominance of leakage, the manufacture variation, the on-chip temperature variation and higher reliability requirements, among others. Most of the computer aided design (CAD) tools and algorithms currently used in industry were developed in the pre deep submicron era and did not consider the new features explicitly and adequately. Recent research advances in deep submicron design, such as the mechanisms of leakage, the source and characterization of manufacture variation, the cause and models of on-chip temperature variation, provide us the opportunity to incorporate these important issues in power efficient design. We explore this opportunity in this dissertation by demonstrating that significant power reduction can be achieved with only minor modification to the existing CAD tools and algorithms. First, we consider peak current, which has become critical for circuit's reliability in deep submicron design. Traditional low power design techniques focus on the reduction of average power. We propose to reduce peak current while keeping the overhead on average power as small as possible. Second, dual Vt technique and gate sizing have been used simultaneously for leakage savings. However, this approach becomes less effective in deep submicron design. We propose to use the newly developed process-induced mechanical stress to enhance its performance. Finally, in deep submicron design, the impact of on-chip temperature variation on leakage and performance becomes more and more significant. We propose a temperature-aware dual Vt approach to alleviate hot spots and achieve further leakage reduction. We also consider this leakage-temperature dependency in the dynamic voltage scaling approach and discover that a commonly accepted result is incorrect for the current technology. We conduct extensive experiments with popular design benchmarks, using the latest industry CAD tools and design libraries. The results show that our proposed enhancements are promising in power saving and are practical to solve the low power design challenges in deep submicron era

Parallel VLSI Circuit Analysis and Optimization

The prevalence of multi-core processors in recent years has introduced new opportunities and challenges to Electronic Design Automation (EDA) research and development. In this dissertation, a few parallel Very Large Scale Integration (VLSI) circuit analysis and optimization methods which utilize the multi-core computing platform to tackle some of the most difficult contemporary Computer-Aided Design (CAD) problems are presented. The first CAD application that is addressed in this dissertation is analyzing and optimizing mesh-based clock distribution network. Mesh-based clock distribution network (also known as clock mesh) is used in high-performance microprocessor designs as a reliable way of distributing clock signals to the entire chip. The second CAD application addressed in this dissertation is the Simulation Program with Integrated Circuit Emphasis (SPICE) like circuit simulation. SPICE simulation is often regarded as the bottleneck of the design flow. Recently, parallel circuit simulation has attracted a lot of attention. The first part of the dissertation discusses circuit analysis techniques. First, a combination of clock network specific model order reduction algorithm and a port sliding scheme is presented to tackle the challenges in analyzing large clock meshes with a large number of clock drivers. Our techniques run much faster than the standard SPICE simulation and existing model order reduction techniques. They also provide a basis for the clock mesh optimization. Then, a hierarchical multi-algorithm parallel circuit simulation (HMAPS) framework is presented as an novel technique of parallel circuit simulation. The inter-algorithm parallelism approach in HMAPS is completely different from the existing intra-algorithm parallel circuit simulation techniques and achieves superlinear speedup in practice. The second part of the dissertation talks about parallel circuit optimization. A modified asynchronous parallel pattern search (APPS) based method which utilizes the efficient clock mesh simulation techniques for the clock driver size optimization problem is presented. Our modified APPS method runs much faster than a continuous optimization method and effectively reduces the clock skew for all test circuits. The third part of the dissertation describes parallel performance modeling and optimization of the HMAPS framework. The performance models and runtime optimization scheme improve the speed of HMAPS further more. The dynamically adapted HMAPS becomes a complete solution for parallel circuit simulation

메쉬 기반의 클락 네트워크 설계 방법론

학위논문 (박사)-- 서울대학교 대학원 : 전기·컴퓨터공학부, 2015. 2. 김태환.The clock distribution network in a synchronous digital circuit delivers a clock signal to every storage element i.e., clock sink in the circuit. However, since the continued technology scaling increases PVT (process-voltage-temperature) variation, the increase of clock skew variation is highly likely to cause performance degradation or system failure at run time. Recently, to mitigate the clock skew variation, many researchers have taken a profound interest in the clock mesh network. However, though the structure of clock mesh network is excellent in tolerating timing variation, it demands significantly high power consumption due to the use of excessive mesh wire and buffer resources. Thus, optimizing the resources required in the mesh clock synthesis while maintaining the variation tolerance is crucially important. The three major tasks that greatly affect the cost of resulting clock mesh are (1) mesh segment allocation, (2) mesh buffer allocation and sizing, and (3) clock sink binding to mesh segments. Previous clock mesh optimization approaches solve the three tasks sequentially, one by one at a time, to manage the run time complexity of the tasks at the expense of losing the quality of results. However, since the three tasks are tightly inter-related, simultaneously optimizing all three tasks is essential, if the run time is ever permitted, to synthesize an economical clock mesh network. In this dissertation, we propose an approach which is able to tackle the problem in an integrated fashion by combining the three tasks into an iterative framework of incremental updates and solving them simultaneously to find a globally optimal allocation of mesh resources while taking into account the clock skew tolerance constraints. The core parts of this dissertation are a precise analysis on the relation among the resource optimization tasks and an establishment of mechanism for effective and efficient integration of the tasks. In particular, to handle the run time problem, we propose a set of speed-up techniques i.e., modeling RC circuit for eliminating redundant matrix multiplications, exploiting sliding window scheme, and fast buffer sizing effect estimation, which are fitted into our context of fast clock skew estimation in mesh resource optimization as well as an invention of early decision policies. In summary, this dissertation presents the efficient design methodology for clock mesh synthesis with consideration on integration of three tasks and reduction of runtime complexity.Abstract i Contents iii List of Figures vi List of Tables x 1 Introduction 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Contributions of This Dissertation . . . . . . . . . . . . . . . . . . . 3 2 Background 5 2.1 Clock Distribution Network . . . . . . . . . . . . . . . . . . . . . . . 5 2.2 Clock Network Topologies . . . . . . . . . . . . . . . . . . . . . . . 6 2.3 Design Metrics of Clock Network . . . . . . . . . . . . . . . . . . . 7 2.4 The Effects of Variations on Clock Skew . . . . . . . . . . . . . . . . 9 3 Clock Mesh Synthesis Flow 12 3.1 Elements of Clock Mesh . . . . . . . . . . . . . . . . . . . . . . . . 12 3.2 Conventional Clock Mesh Synthesis Overview . . . . . . . . . . . . . 13 3.3 Initial Grid Generation . . . . . . . . . . . . . . . . . . . . . . . . . 13 3.4 Mesh Buffer Placement and Sizing . . . . . . . . . . . . . . . . . . . 14 3.5 Clock Mesh Optimization . . . . . . . . . . . . . . . . . . . . . . . . 17 4 Integrated Resource Allocation and Binding in Clock Mesh Synthesis 19 4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 4.2 Observations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 4.3 Framework of Clock Mesh Optimization . . . . . . . . . . . . . . . . 26 4.3.1 Incremental Resource Updates . . . . . . . . . . . . . . . . . 29 4.3.2 Constraints for Variation Tolerance . . . . . . . . . . . . . . 34 4.3.3 Early Decision Policies . . . . . . . . . . . . . . . . . . . . . 38 4.3.4 Time Complexity Analysis . . . . . . . . . . . . . . . . . . . 39 4.4 Fast Clock Skew Estimation Techniques . . . . . . . . . . . . . . . . 40 4.4.1 Partially Reusing Matrix Multiplication for Incremental Updates 41 4.4.2 Adopting Sliding Window Scheme . . . . . . . . . . . . . . . 43 4.4.3 Adjusting Delay Caused by Buffer Resizing . . . . . . . . . . 44 4.5 Experimental Results . . . . . . . . . . . . . . . . . . . . . . . . . . 46 4.5.1 Experimental Environments . . . . . . . . . . . . . . . . . . 46 4.5.2 Resource Requirement and Variation Tolerance Comparison . 48 4.5.3 Comparison with Clock Mesh Optimization using Worst Case Timing Analysis of Commercial Tool . . . . . . . . . . . . . 56 4.5.4 Analysis of the Effect of Proposed Techniques . . . . . . . . 58 4.5.5 Run Time Analysis . . . . . . . . . . . . . . . . . . . . . . . 61 4.5.6 Accuracy and Run Time of Fast Clock Skew Estimation . . . 63 4.5.7 Electromigration Analysis . . . . . . . . . . . . . . . . . . . 68 4.5.8 Run-time Analysis in Multi-thread Computing Environment . 70 4.6 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 5 Conclusion 74 Abstract in Korean 84Docto

Timing Closure in Chip Design

Achieving timing closure is a major challenge to the physical design of a computer chip. Its task is to find a physical realization fulfilling the speed specifications. In this thesis, we propose new algorithms for the key tasks of performance optimization, namely repeater tree construction; circuit sizing; clock skew scheduling; threshold voltage optimization and plane assignment. Furthermore, a new program flow for timing closure is developed that integrates these algorithms with placement and clocktree construction. For repeater tree construction a new algorithm for computing topologies, which are later filled with repeaters, is presented. To this end, we propose a new delay model for topologies that not only accounts for the path lengths, as existing approaches do, but also for the number of bifurcations on a path, which introduce extra capacitance and thereby delay. In the extreme cases of pure power optimization and pure delay optimization the optimum topologies regarding our delay model are minimum Steiner trees and alphabetic code trees with the shortest possible path lengths. We presented a new, extremely fast algorithm that scales seamlessly between the two opposite objectives. For special cases, we prove the optimality of our algorithm. The efficiency and effectiveness in practice is demonstrated by comprehensive experimental results. The task of circuit sizing is to assign millions of small elementary logic circuits to elements from a discrete set of logically equivalent, predefined physical layouts such that power consumption is minimized and all signal paths are sufficiently fast. In this thesis we develop a fast heuristic approach for global circuit sizing, followed by a local search into a local optimum. Our algorithms use, in contrast to existing approaches, the available discrete layout choices and accurate delay models with slew propagation. The global approach iteratively assigns slew targets to all source pins of the chip and chooses a discrete layout of minimum size preserving the slew targets. In comprehensive experiments on real instances, we demonstrate that the worst path delay is within 7% of its lower bound on average after a few iterations. The subsequent local search reduces this gap to 2% on average. Combining global and local sizing we are able to size more than 5.7 million circuits within 3 hours. For the clock skew scheduling problem we develop the first algorithm with a strongly polynomial running time for the cycle time minimization in the presence of different cycle times and multi-cycle paths. In practice, an iterative local search method is much more efficient. We prove that this iterative method maximizes the worst slack, even when restricting the feasible schedule to certain time intervals. Furthermore, we enhance the iterative local approach to determine a lexicographically optimum slack distribution. The clock skew scheduling problem is then generalized to allow for simultaneous data path optimization. In fact, this is a time-cost tradeoff problem. We developed the first combinatorial algorithm for computing time-cost tradeoff curves in graphs that may contain cycles. Starting from the lowest-cost solution, the algorithm iteratively computes a descent direction by a minimum cost flow computation. The maximum feasible step length is then determined by a minimum ratio cycle computation. This approach can be used in chip design for several optimization tasks, e.g. threshold voltage optimization or plane assignment. Finally, the optimization routines are combined into a timing closure flow. Here, the global placement is alternated with global performance optimization. Netweights are used to penalize the length of critical nets during placement. After the global phase, the performance is improved further by applying more comprehensive optimization routines on the most critical paths. In the end, the clock schedule is optimized and clocktrees are inserted. Computational results of the design flow are obtained on real-world computer chips