85 research outputs found

    Retiming with wire delay and post-retiming register placement.

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    Tong Ka Yau Dennis.Thesis (M.Phil.)--Chinese University of Hong Kong, 2004.Includes bibliographical references (leaves 77-81).Abstracts in English and Chinese.Chapter 1 --- Introduction --- p.1Chapter 1.1 --- Motivations --- p.1Chapter 1.2 --- Progress on the Problem --- p.2Chapter 1.3 --- Our Contributions --- p.3Chapter 1.4 --- Thesis Organization --- p.4Chapter 2 --- Background on Retiming --- p.5Chapter 2.1 --- Introduction --- p.5Chapter 2.2 --- Preliminaries --- p.7Chapter 2.3 --- Retiming Problem --- p.9Chapter 3 --- Literature Review on Retiming --- p.10Chapter 3.1 --- Introduction --- p.10Chapter 3.2 --- The First Retiming Paper --- p.11Chapter 3.2.1 --- """Retiming Synchronous Circuitry""" --- p.11Chapter 3.3 --- Important Extensions of the Basic Retiming Algorithm --- p.14Chapter 3.3.1 --- """A Fresh Look at Retiming via Clock Skew Optimization""" --- p.14Chapter 3.3.2 --- """An Improved Algorithm for Minimum-Area Retiming""" --- p.16Chapter 3.3.3 --- """Efficient Implementation of Retiming""" --- p.17Chapter 3.4 --- Retiming in Physical Design Stages --- p.19Chapter 3.4.1 --- """Physical Planning with Retiming""" --- p.19Chapter 3.4.2 --- """Simultaneous Circuit Partitioning/Clustering with Re- timing for Performance Optimization" --- p.20Chapter 3.4.3 --- """Performance Driven Multi-level and Multiway Parti- tioning with Retiming" --- p.22Chapter 3.5 --- Retiming with More Sophisticated Timing Models --- p.23Chapter 3.5.1 --- """Retiming with Non-zero Clock Skew, Variable Register, and Interconnect Delay""" --- p.23Chapter 3.5.2 --- """Placement Driven Retiming with a Coupled Edge Tim- ing Model""" --- p.24Chapter 3.6 --- Post-Retiming Register Placement --- p.26Chapter 3.6.1 --- """Layout Driven Retiming Using the Coupled Edge Tim- ing Model""" --- p.26Chapter 3.6.2 --- """Integrating Logic Retiming and Register Placement""" --- p.27Chapter 4 --- Retiming with Gate and Wire Delay [2] --- p.29Chapter 4.1 --- Introduction --- p.29Chapter 4.2 --- Problem Formulation --- p.30Chapter 4.3 --- Optimal Approach [2] --- p.31Chapter 4.3.1 --- Original Mathematical Framework for Retiming --- p.31Chapter 4.3.2 --- A Modified Optimal Approach --- p.33Chapter 4.4 --- Near-Optimal Fast Approach [2] --- p.37Chapter 4.4.1 --- Considering Wire Delay Only --- p.38Chapter 4.4.2 --- Considering Both Gate and Wire Delay --- p.42Chapter 4.4.3 --- Computational Complexity --- p.43Chapter 4.4.4 --- Experimental Results --- p.44Chapter 4.5 --- Lin's Optimal Approach [23] --- p.47Chapter 4.5.1 --- Theoretical Results --- p.47Chapter 4.5.2 --- Algorithm Description --- p.51Chapter 4.5.3 --- Computational Complexity --- p.52Chapter 4.5.4 --- Experimental Results --- p.52Chapter 4.6 --- Summary --- p.54Chapter 5 --- Register Insertion in Placement [36] --- p.55Chapter 5.1 --- Introduction --- p.55Chapter 5.2 --- Problem Formulation --- p.57Chapter 5.3 --- Placement of Registers After Retiming --- p.60Chapter 5.3.1 --- Topology Finding --- p.60Chapter 5.3.2 --- Register Placement --- p.69Chapter 5.4 --- Experimental Results --- p.71Chapter 5.5 --- Summary --- p.74Chapter 6 --- Conclusion --- p.75Bibliography --- p.7

    Retiming-based timing analysis with an application to mincut-based global placement

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    Impact of Multi-level Clustering on Performance Driven Global Placement

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    Delay and wirelength minimization continue to be important objectives in the design of high-performance computing systems. For large-scale circuits, the clustering process becomes essential for reducing the problem size. However, to the best of our knowledge, there is no study about the impact of multi-level clustering on performance-driven global placement. In this paper, five clustering algorithms including the quasi-optimal retiming delay driven PRIME and the cutsize-driven ESC have been considered for their impact on state-of-the-art mincut based global placement. Results show that minimizing cutsize or wirelength during clustering typically results in significant performance improvements

    FPGA Implementation of Data Flow Graphs for Digital Signal Processing Applications

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    A rapid growth in digital signal processing applications has increased the requirement for high-speed digital systems. Multiprocessor systems are the best choice for these applications. A prior sequence of operations should be applied to the operations that described the nature of these applications before hardware implementation is produced. These operations should be scheduled and hardware allocated. This paper proposes a new scheduling technique for digital signal processing (DSP) applications has been represented by data flow graphs (DFGs). In addition, hardware allocation is implemented in the form of embedded system. A proposed scheduling technique also achieves the optimal scheduling of a DFG at design time. The optimality criteria considered in this algorithm are the maximum throughput within the available hardware resources. The maximum throughput is achieved by arranging the DFG nodes according to their inter-related data dependencies. Then, two nodes can be clustered into one compound task to reduce the overall execution time by minimizing the number of tasks to be executed that minimizing the number of cycles to execute them. Then each task is presented in form of instruction to be executed in the hardware system. A hardware system is composed of one or multiple homogenous pipelined processing elements and it is designed to meet the maximum-rate schedule.  Two implementations are proposed of the system architecture according to the number of the processing elements, namely:  the serial system and the parallel system. The serial system comprises one processing element where all tasks are processed sequentially, whilst the parallel system has four processing elements to execute tasks concurrently. These systems consist mainly of seven units: central shared memory, state table, multiway function unit buffer, execution array, processing element/s, instruction buffer and the address generation unit. The hardware components were built on an FPGA chip using Verilog HDL. In synthesis results, the parallel system has better system performance by 25.5% than the serial system. While the serial system requires smaller area size, which described by the number of slice registers and the number of the slice lookup tables (LUTs) than the parallel one. The relationship between the number of instructions that are executed in both systems, and the system area and the system performance that presented by system frequency, are studied. By increasing memories size in both systems, the system performance isn’t affected as in a serial system, and it is slightly decreased as the parallel system by 1.5% to 4.5%. In terms of the systems area, both serial system area and parallel system area are increased and in some cases are doubled. The proposed scheduling technique is shown to outperform the retaining technique, which we have chosen to compare with.  The serial system has better performance by 19.3% higher system frequency than a retiming technique. And the parallel system also outperforms the retaining technique by 51.2% higher system frequency in synthesis results

    Elasticity and Petri nets

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    Digital electronic systems typically use synchronous clocks and primarily assume fixed duration of their operations to simplify the design process. Time elastic systems can be constructed either by replacing the clock with communication handshakes (asynchronous version) or by augmenting the clock with a synchronous version of a handshake (synchronous version). Time elastic systems can tolerate static and dynamic changes in delays (asynchronous case) or latencies (synchronous case) of operations that can be used for modularity, ease of reuse and better power-delay trade-off. This paper describes methods for the modeling, performance analysis and optimization of elastic systems using Marked Graphs and their extensions capable of describing behavior with early evaluation. The paper uses synchronous elastic systems (aka latency-tolerant systems) for illustrating the use of Petri nets, however, most of the methods can be applied without changes (except changing the delay model associated with events of the system) to asynchronous elastic systems.Peer ReviewedPostprint (author's final draft

    Broadening the Scope of Multi-Objective Optimizations in Physical Synthesis of Integrated Circuits.

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    In modern VLSI design, physical synthesis tools are primarily responsible for satisfying chip-performance constraints by invoking a broad range of circuit optimizations, such as buffer insertion, logic restructuring, gate sizing and relocation. This process is known as timing closure. Our research seeks more powerful and efficient optimizations to improve the state of the art in modern chip design. In particular, we integrate timing-driven relocation, retiming, logic cloning, buffer insertion and gate sizing in novel ways to create powerful circuit transformations that help satisfy setup-time constraints. State-of-the-art physical synthesis optimizations are typically applied at two scales: i) global algorithms that affect the entire netlist and ii) local transformations that focus on a handful of gates or interconnections. The scale of modern chip designs dictates that only near-linear-time optimization algorithms can be applied at the global scope — typically limited to wirelength-driven placement and legalization. Localized transformations can rely on more time-consuming optimizations with accurate delay models. Few techniques bridge the gap between fully-global and localized optimizations. This dissertation broadens the scope of physical synthesis optimization to include accurate transformations operating between the global and local scales. In particular, we integrate groups of related transformations to break circular dependencies and increase the number of circuit elements that can be jointly optimized to escape local minima. Integrated transformations in this dissertation are developed by identifying and removing obstacles to successful optimizations. Integration is achieved through mapping multiple operations to rigorous mathematical optimization problems that can be solved simultaneously. We achieve computational scalability in our techniques by leveraging analytical delay models and focusing optimization efforts on carefully selected regions of the chip. In this regard, we make extensive use of a linear interconnect-delay model that accounts for the impact of subsequent repeated insertion. Our integrated transformations are evaluated on high-performance circuits with over 100,000 gates. Integrated optimization techniques described in this dissertation ensure graceful timing-closure process and impact nearly every aspect of a typical physical synthesis flow. They have been validated in EDA tools used at IBM for physical synthesis of high-performance CPU and ASIC designs, where they significantly improved chip performance.Ph.D.Computer Science & EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/78744/1/iamyou_1.pd

    Performance-driven register insertion in placement

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    Clustering for the optimisation of asynchronous controllers

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    The miniaturisation of integrated circuits is bringing new problems in terms of power consumption, speed, and variability tolerance. The current synchronous designs are struggling to cope with these problems, and in consequence new optimisations or paradigms are being studied. The study of this thesis are the optimisations like clock skew for synchronous circuits and asynchronous circuits as an alternative paradigm. The performance analysis of both cases are equivalent and algorithms on graph theory for cycles have been implemented to calculate the optimum speed. Asynchronous controllers are essential for a good asynchronous design. To create a connectivity structure of controllers it is necessary to group the memory elements (registers) of the circuit into clusters. Clustering registers affects power consumption, performance, area, and variability tolerance. To produce a good clustering is a hard job because of the high number of registers and for the trade-offs of optimising all these characteristics. An initial problem in clustering of controllers is to decide how many controllers we want. A design with one cluster give us the same problems of a synchronous design, high power consumption and too much sensible on variability of temperature, voltage, manufacturing errors, etc. On the other hand, having as many controllers as registers will produce too much overhead in area for all the new logic and wires that needs to be added. It is important to have clusters as less connected as possible to design simple controllers and to minimise the impact on area. We know from benchmarks and industrial designs that the register graph is highly connected, and the controllers graph is almost complete. A variation of Min-Cut can give us a solution to optimise this property. The clustering will have an impact on performance. Grouping registers implies a lost of freedom, and optimisations like clock skew or the asynchronous circuit will be affected by this lost as a handicap to reach the maximum speed. From the placement point of view we need to have clusters where their registers are close to minimise the clock tree. The ideal solution is a partition of the space. The worst solution is to have the registers spared around. The contribution of this thesis are two clustering algorithms; A local search solution to minimise the number of connections, and a k-means implementation that combines the minimisation of the clock trees and the maximisation of performance, by using parameters to balance it. These algorithms have been implemented in the Elastix EDA tool and executed on ISCAS benchmarks and SUN Microsystems OpenSparc processo

    Méthodes pour améliorer la qualité des implantations matérielles de systèmes informatiques

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    Thèse numérisée par la Direction des bibliothèques de l'Université de Montréal

    Rewired retiming for flip-flop reduction and low power without delay penalty.

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    Jiang, Mingqi.Thesis (M.Phil.)--Chinese University of Hong Kong, 2009.Includes bibliographical references (leaves [49]-51).Abstract also in Chinese.Abstract --- p.iAcknowledgement --- p.iiiChapter 1 --- Introduction --- p.1Chapter 2 --- Rewiring Background --- p.4Chapter 2.1 --- REWIRE --- p.6Chapter 2.2 --- GBAW --- p.7Chapter 3 --- Retiming --- p.9Chapter 3.1 --- Min-Clock Period Retiming --- p.9Chapter 3.2 --- Min-Area Retiming --- p.17Chapter 3.3 --- Retiming for Low Power --- p.18Chapter 3.4 --- Retiming with Interconnect Delay --- p.22Chapter 4 --- Rewired Retiming for Flip-flop Reduction --- p.26Chapter 4.1 --- Motivation and Problem Formulation --- p.26Chapter 4.2 --- Retiming Indication --- p.29Chapter 4.3 --- Target Wire Selection --- p.31Chapter 4.4 --- Incremental Placement Update --- p.33Chapter 4.5 --- Optimization Flow --- p.36Chapter 4.6 --- Experimental Results --- p.38Chapter 5 --- Power Analysis for Rewired Retiming --- p.41Chapter 5.1 --- Power Model --- p.41Chapter 5.2 --- Experimental Results --- p.44Chapter 6 --- Conclusion --- p.47Bibliography --- p.5
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