TL;DR: VLSI Physical Design: From Graph Partitioning to Timing Closure introduces and compares algorithms that are used during the physical design phase of integrated-circuit design, wherein a geometric chip layout is produced starting from an abstract circuit design.
Abstract: Design and optimization of integrated circuits are essential to the creation of new semiconductor chips, and physical optimizations are becoming more prominent as a result of semiconductor scaling. Modern chip design has become so complex that it is largely performed by specialized software, which is frequently updated to address advances in semiconductor technologies and increased problem complexities. A user of such software needs a high-level understanding of the underlying mathematical models and algorithms. On the other hand, a developer of such software must have a keen understanding of computer science aspects, including algorithmic performance bottlenecks and how various algorithms operate and interact. VLSI Physical Design: From Graph Partitioning to Timing Closure introduces and compares algorithms that are used during the physical design phase of integrated-circuit design, wherein a geometric chip layout is produced starting from an abstract circuit design. The emphasis is on essential and fundamental techniques, ranging from hypergraph partitioning and circuit placement to timing closure.
TL;DR: In this article, a methodology for generating structural descriptions of complex digital devices from high-level descriptions and specifications is described, which uses a systematic technique to map and enforce consistency of the semantics imbedded in the original, highlevel descriptions.
Abstract: A methodology for generating structural descriptions of complex digital devices from high-level descriptions and specifications is disclosed. The methodology uses a systematic technique to map and enforce consistency of the semantics imbedded in the intent of the original, high-level descriptions. The design activity is essentially a series of transformations operating upon various levels of design representations. At each level, the intended meaning (semantics) and formal software manipulations are captured to derive a more detailed level describing hardware meeting the design goals. Important features of the methodology are: capturing the users concepts, intent, specification, descriptions, constraints and trade-offs; architectural partitioning; what-if analysis at a high level; sizing estimation; timing estimation; architectural trade-off; conceptual design with implementation estimation; and timing closure. The methodology includes using estimators, based on data gathered over a number of realized designs, for partitioning and evaluating a design prior to logic synthesis. From the structural description, a physical implementation of the device is readily realized. Techniques are described for estimating ancillary parameters of the device (such as device cost, production speed, production lead time, etc.), at early, high level stages of the design process (e.g., at the system, behavioral, and register transfer level stages). The techniques can be applied to optimize the design characteristics other than measurable physical characteristics, such as those deriving from project time and cost constraints.
TL;DR: In this paper, a methodology for generating structural descriptions of complex digital devices from high-level descriptions and specifications is presented, where the intended meaning (semantics) and formal software manipulations are captured to derive a more detailed level describing hardware meeting the design goals.
Abstract: A methodology for generating structural descriptions of complex digital devices from high-level descriptions and specifications. The methodology uses a systematic technique to map and enforce consistency of the semantics imbedded in the intent of the original, high-level descriptions. The design activity is essentially a series of transformations operating upon various levels of design representations. At each level, the intended meaning (semantics) and formal software manipulations are captured to derive a more detailed level describing hardware meeting the design goals. Important features of the methodology are: capturing the users concepts, intent, specification, descriptions, constraints and trade-offs; architectural partitioning; what-if analysis at a high level; sizing estimation; timing estimation; architectural trade-off; conceptual design with implementation estimation; and timing closure. The methodology includes using estimators, based on data gathered over a number of realized designs, for partitioning and evaluating a design prior to logic synthesis. From the structural description, a physical implementation of the device is readily realized. Techniques for scaling of a model design to provide a scaled design are provided whereby parameters of a model design such as size, circuit complexity, interconnection density, number of I/O connections, etc., can be scaled to produce a scaled version of the design. The scaling techniques employ multi-level hierarchical module replication to produce fully-functional scaled designs which closely match the function of the model design. Test vectors for the scaled designs can be readily obtained by altering test vectors for the model design to account for the replicated modules.
TL;DR: In this article, a digital design method for obtaining timing closure in the design of large, complex, high-performance digital integrated circuits is presented. But this method includes the use of a tuner on random logic macros that adjusts transistor sizes in a continuous domain.
Abstract: A Digital Design Method which may be automated is for obtaining timing closure in the design of large, complex, high-performance digital integrated circuits. The methodincludes the use of a tuner on random logic macros that adjusts transistor sizes in a continuous domain. To accommodate this tuning, logic gates are mapped to parameterized cells for the tuning and then back to fixed gates after the tuning. Tuning is constrained in such a way as to minimize “binning errors” when the design is mapped back to fixed cells. Further, the critical sections of the circuit are marked in order to make the optimization more effective and to fit within the problem-size constraints of the tuner. A specially formulated objective function is employed during the tuning to promote faster global timing convergence, despite possibly incorrect initial timing budgets. The specially formulated objective function targets all paths that are failing timing, with appropriate weighting, rather than just targeting the most critical path. Finally, the addition of multiple threshold voltage gates allows for increased performance while limiting leakage power.
TL;DR: This living document is pleased to provide this living document for unlocking the evergrowing vocabulary of abbreviations and acronyms of the telecommunications world.
Abstract: physical design electronics wikipedia in integrated circuit design physical design is a step in the standard design cycle which follows after the circuit design at this step circuit representations of, integrated circuit layout wikipedia integrated circuit layout also known ic layout ic mask layout or mask design is the representation of an integrated circuit in terms of planar geometric shapes, engineering courses concordia university concordia university http www concordia ca content concordia en academics graduate calendar current encs engineering courses html, peer reviewed journal ijera com international journal of engineering research and applications ijera is an open access online peer reviewed international journal that publishes research, telecommunications abbreviations and acronyms consultation erkan is pleased to provide this living document for unlocking the evergrowing vocabulary of abbreviations and acronyms of the telecommunications world, contents international information institute vol 7 no 3 may 2004 mathematical and natural sciences study on bilinear scheme and application to three dimensional convective equation itaru hataue and yosuke