Verilog HDL 1
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Synthesis and Verification of Digital Circuits Using Functional Simulation and Boolean Satisfiability
Synthesis and Verification of Digital Circuits using Functional Simulation and Boolean Satisfiability by Stephen M. Plaza A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Computer Science and Engineering) in The University of Michigan 2008 Doctoral Committee: Associate Professor Igor L. Markov, Co-Chair Assistant Professor Valeria M. Bertacco, Co-Chair Professor John P. Hayes Professor Karem A. Sakallah Associate Professor Dennis M. Sylvester Stephen M. Plaza 2008 c All Rights Reserved To my family, friends, and country ii ACKNOWLEDGEMENTS I would like to thank my advisers, Professor Igor Markov and Professor Valeria Bertacco, for inspiring me to consider various fields of research and providing feedback on my projects and papers. I also want to thank my defense committee for their comments and in- sights: Professor John Hayes, Professor Karem Sakallah, and Professor Dennis Sylvester. I would like to thank Professor David Kieras for enhancing my knowledge and apprecia- tion for computer programming and providing invaluable advice. Over the years, I have been fortunate to know and work with several wonderful stu- dents. I have collaborated extensively with Kai-hui Chang and Smita Krishnaswamy and have enjoyed numerous research discussions with them and have benefited from their in- sights. I would like to thank Ian Kountanis and Zaher Andraus for our many fun discus- sions on parallel SAT. I also appreciate the time spent collaborating with Kypros Constan- tinides and Jason Blome. Although I have not formally collaborated with Ilya Wagner, I have enjoyed numerous discussions with him during my doctoral studies. I also thank my office mates Jarrod Roy, Jin Hu, and Hector Garcia. -
A Logic Synthesis Toolbox for Reducing the Multiplicative Complexity in Logic Networks
A Logic Synthesis Toolbox for Reducing the Multiplicative Complexity in Logic Networks Eleonora Testa∗, Mathias Soekeny, Heinz Riener∗, Luca Amaruz and Giovanni De Micheli∗ ∗Integrated Systems Laboratory, EPFL, Lausanne, Switzerland yMicrosoft, Switzerland zSynopsys Inc., Design Group, Sunnyvale, California, USA Abstract—Logic synthesis is a fundamental step in the real- correlates to the resistance of the function against algebraic ization of modern integrated circuits. It has traditionally been attacks [10], while the multiplicative complexity of a logic employed for the optimization of CMOS-based designs, as well network implementing that function only provides an upper as for emerging technologies and quantum computing. Recently, bound. Consequently, minimizing the multiplicative complexity it found application in minimizing the number of AND gates in of a network is important to assess the real multiplicative cryptography benchmarks represented as xor-and graphs (XAGs). complexity of the function, and therefore its vulnerability. The number of AND gates in an XAG, which is called the logic net- work’s multiplicative complexity, plays a critical role in various Second, the number of AND gates plays an important role cryptography and security protocols such as fully homomorphic in high-level cryptography protocols such as zero-knowledge encryption (FHE) and secure multi-party computation (MPC). protocols, fully homomorphic encryption (FHE), and secure Further, the number of AND gates is also important to assess multi-party computation (MPC) [11], [12], [6]. For example, the the degree of vulnerability of a Boolean function, and influences size of the signature in post-quantum zero-knowledge signatures the cost of techniques to protect against side-channel attacks. -
Logic Optimization and Synthesis: Trends and Directions in Industry
Logic Optimization and Synthesis: Trends and Directions in Industry Luca Amaru´∗, Patrick Vuillod†, Jiong Luo∗, Janet Olson∗ ∗ Synopsys Inc., Design Group, Sunnyvale, California, USA † Synopsys Inc., Design Group, Grenoble, France Abstract—Logic synthesis is a key design step which optimizes of specific logic styles and cell layouts. Embedding as much abstract circuit representations and links them to technology. technology information as possible early in the logic optimiza- With CMOS technology moving into the deep nanometer regime, tion engine is key to make advantageous logic restructuring logic synthesis needs to be aware of physical informations early in the flow. With the rise of enhanced functionality nanodevices, opportunities carry over at the end of the design flow. research on technology needs the help of logic synthesis to capture In this paper, we examine the synergy between logic synthe- advantageous design opportunities. This paper deals with the syn- sis and technology, from an industrial perspective. We present ergy between logic synthesis and technology, from an industrial technology aware synthesis methods incorporating advanced perspective. First, we present new synthesis techniques which physical information at the core optimization engine. Internal embed detailed physical informations at the core optimization engine. Experiments show improved Quality of Results (QoR) and results evidence faster timing closure and better correlation better correlation between RTL synthesis and physical implemen- between RTL synthesis and physical implementation. We elab- tation. Second, we discuss the application of these new synthesis orate on synthesis aware technology development, where logic techniques in the early assessment of emerging nanodevices with synthesis enables a fair system-level assessment on emerging enhanced functionality. -
Placement and Routing in Computer Aided Design of Standard Cell Arrays by Exploiting the Structure of the Interconnection Graph
325 Computer-Aided Design and Applications © 2008 CAD Solutions, LLC http://www.cadanda.com Placement and Routing in Computer Aided Design of Standard Cell Arrays by Exploiting the Structure of the Interconnection Graph Ioannis Fudos1, Xrysovalantis Kavousianos 1, Dimitrios Markouzis 1 and Yiorgos Tsiatouhas1 1University of Ioannina, {fudos,kabousia,dimmark,tsiatouhas}@cs.uoi.gr ABSTRACT Standard cell placement and routing is an important open problem in current CAD VLSI research. We present a novel approach to placement and routing in standard cell arrays inspired by geometric constraint usage in traditional CAD systems. Placement is performed by an algorithm that places the standard cells in a spiral topology around the center of the cell array driven by a DFS on the interconnection graph. We provide an improvement of this technique by first detecting dense graphs in the interconnection graph and then placing cells that belong to denser graphs closer to the center of the spiral. By doing so we reduce the wirelength required for routing. Routing is performed by a variation of the maze algorithm enhanced by a set of heuristics that have been tuned to maximize performance. Finally we present a visualization tool and an experimental performance evaluation of our approach. Keywords: CAD VLSI design, geometric constraints, graph algorithms. DOI: 10.3722/cadaps.2008.325-337 1. INTRODUCTION VLSI circuits become more and more complex increasingly fast. This denotes that the physical layout problem is becoming more and more cumbersome. From the early years of VLSI design, engineers have sought techniques for automated design targeted to a) decreasing the time to market and b) increasing the robustness of the final product. -
Designing a RISC CPU in Reversible Logic
Designing a RISC CPU in Reversible Logic Robert Wille Mathias Soeken Daniel Große Eleonora Schonborn¨ Rolf Drechsler Institute of Computer Science, University of Bremen, 28359 Bremen, Germany frwille,msoeken,grosse,eleonora,[email protected] Abstract—Driven by its promising applications, reversible logic In this paper, the recent progress in the field of reversible cir- received significant attention. As a result, an impressive progress cuit design is employed in order to design a complex system, has been made in the development of synthesis approaches, i.e. a RISC CPU composed of reversible gates. Starting from implementation of sequential elements, and hardware description languages. In this paper, these recent achievements are employed a textual specification, first the core components of the CPU in order to design a RISC CPU in reversible logic that can are identified. Previously introduced approaches are applied execute software programs written in an assembler language. The next to realize the respective combinational and sequential respective combinational and sequential components are designed elements. More precisely, the combinational components are using state-of-the-art design techniques. designed using the reversible hardware description language SyReC [17], whereas for the realization of the sequential I. INTRODUCTION elements an external controller (as suggested in [16]) is utilized. With increasing miniaturization of integrated circuits, the Plugging the respective components together, a CPU design reduction of power dissipation has become a crucial issue in results which can process software programs written in an today’s hardware design process. While due to high integration assembler language. This is demonstrated in a case study, density and new fabrication processes, energy loss has sig- where the execution of a program determining Fibonacci nificantly been reduced over the last decades, physical limits numbers is simulated. -
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization Shubham Raif,6,y, Walter Lau Neton,10,y, Yukio Miyasakao,1, Xinpei Zhanga,1, Mingfei Yua,1, Qingyang Yia,1, Masahiro Fujitaa,1, Guilherme B. Manskeb,2, Matheus F. Pontesb,2, Leomar S. da Rosa Juniorb,2, Marilton S. de Aguiarb,2, Paulo F. Butzene,2, Po-Chun Chienc,3, Yu-Shan Huangc,3, Hoa-Ren Wangc,3, Jie-Hong R. Jiangc,3, Jiaqi Gud,4, Zheng Zhaod,4, Zixuan Jiangd,4, David Z. Pand,4, Brunno A. de Abreue,5,9, Isac de Souza Camposm,5,9, Augusto Berndtm,5,9, Cristina Meinhardtm,5,9, Jonata T. Carvalhom,5,9, Mateus Grellertm,5,9, Sergio Bampie,5, Aditya Lohanaf,6, Akash Kumarf,6, Wei Zengj,7, Azadeh Davoodij,7, Rasit O. Topalogluk,7, Yuan Zhoul,8, Jordan Dotzell,8, Yichi Zhangl,8, Hanyu Wangl,8, Zhiru Zhangl,8, Valerio Tenacen,10, Pierre-Emmanuel Gaillardonn,10, Alan Mishchenkoo,y, and Satrajit Chatterjeep,y aUniversity of Tokyo, Japan, bUniversidade Federal de Pelotas, Brazil, cNational Taiwan University, Taiwan, dUniversity of Texas at Austin, USA, eUniversidade Federal do Rio Grande do Sul, Brazil, fTechnische Universitaet Dresden, Germany, jUniversity of Wisconsin–Madison, USA, kIBM, USA, lCornell University, USA, mUniversidade Federal de Santa Catarina, Brazil, nUniversity of Utah, USA, oUC Berkeley, USA, pGoogle AI, USA The alphabetic characters in the superscript represent the affiliations while the digits represent the team numbers yEqual contribution. Email: [email protected], [email protected], [email protected], [email protected] Abstract—Logic synthesis is a fundamental step in hard- artificial intelligence. -
"Routing-Directed Placement for the Triptych FPGA" (PDF)
ACM/SIGDA Workshop on Field-Programmable Gate Arrays, Berkeley, February, 1992. Routing-directed Placement for the TRIPTYCH FPGA Elizabeth A. Walkup, Scott Hauck, Gaetano Borriello, Carl Ebeling Department of Computer Science and Engineering, FR-35 University of Washington Seattle, WA 98195 [Carter86], where the routing resources consume more Abstract than 90% of the chip area. Even so, the largest Xilinx Currently, FPGAs either divorce the issues of FPGA (3090) seldom achieves more than 50% logic placement and routing by providing logic and block utilization for random logic. A lack of interconnect as separate resources, or ignore the issue interconnect resources also leads to decreased of routing by targeting applications that use only performance as critical paths are forced into more nearest-neighbor communication. Triptych is a new circuitous routes. FPGA architecture that attempts to support efficient Domain-specific FPGAs like the Algotronix implementation of a wide range of circuits by blending CAL1024 (CAL) and the Concurrent Logic CFA6000 the logic and interconnect resources. This allows the (CFA) increase the chip area devoted to logic by physical structure of the logic array to more closely reducing routing to nearest-neighbor communication match the structure of logic functions, thereby [Algotronix91, Concurrent91]. The result is that these providing an efficient substrate (in terms of both area architectures are restricted to highly pipelined dataflow and speed) in which to implement these functions. applications, for which they are more efficient than Full utilization of this architecture requires an general-purpose FPGAs. Implementing circuits using integrated approach to the mapping process which these FPGAs requires close attention to routing during consists of covering, placement, and routing. -
Research Needs in Computer-Aided Design: Logic and Physical Design and Analysis
Research Needs in Computer-Aided Design: Logic and Physical Design and Analysis Logic synthesis and physical design, once considered separate topics, have grown together with the increasing need for tools which reach upward toward design at the system level and at the same time require links to detailed physical and electrical circuit characteristics. This list is a summary of important areas of research in computer-aided design seen by SRC members, ranging from behavioral-level design and synthesis to capacitance and inductance analysis. Note that research in CAD for analog/mixed signal is particularly encouraged, in addition to digital and hybrid system-on-chip design and analysis tools. Not included here are research needs in test and in verification, which are addressed in separate needs documents, and needs in circuit and system design itself, rather than tools research; these needs are assessed in the science area page for Integrated Circuits and Systems Sciences. Earlier needs lists with additional details are found in the "Top Ten" lists in synthesis and physical design developed by SRC task forces. System-Level Estimation and Partitioning System-level design tools require estimates to rapidly select a small number of potentially optimum candidates from a possibly enormous set of possible solutions. Models should consider power consumption, performance, die area (manufacturing cost), package size and cost, noise, test cost and other requirements and constraints. Partitioning of functional tasks between multiple hardware and software components, considering trade-offs between requirements and constraints, must be made using reasonably accurate models. Standard methods are also needed to estimate the performance of microprocessors and DSP cores to enable automated core selection. -
PDF of the Configured Flow
mflowgen Sep 20, 2021 Contents 1 Quick Start 3 2 Reference: Graph-Building API7 2.1 Class Graph...............................................7 2.1.1 ADK-related..........................................7 2.1.2 Adding Steps..........................................7 2.1.3 Connecting Steps Together...................................8 2.1.4 Parameter System........................................8 2.1.5 Advanced Graph-Building...................................8 2.2 Class Step................................................9 2.3 Class Edge................................................ 10 3 User Guide 11 3.1 User Guide................................................ 11 3.2 Connecting Steps Together........................................ 11 3.2.1 Automatic Connection by Name................................ 11 3.2.2 Explicit Connections...................................... 13 3.3 Instantiating a Step Multiple Times................................... 14 3.4 Sweeping Large Design Spaces..................................... 15 3.4.1 More Details.......................................... 17 3.5 ADK Paths................................................ 19 3.6 Assertions................................................ 20 3.6.1 The File Class and Tool Class................................ 21 3.6.2 Adding Assertions When Constructing Your Graph...................... 21 3.6.3 Escaping Special Characters.................................. 21 3.6.4 Multiline Assertions...................................... 21 3.6.5 Defining Python Helper Functions.............................. -
Magic: an Industrial-Strength Logic Optimization, Technology Mapping, and Formal Verification Tool
Magic: An Industrial-Strength Logic Optimization, Technology Mapping, and Formal Verification Tool Alan Mishchenko Niklas Een Robert Brayton Stephen Jang Maciej Ciesielski Thomas Daniel Department of EECS LogicMill Technology Abound Logic University of California, Berkeley San Jose, CA / Amherst, MA Santa Clara, CA {alanmi, een, brayton}@eecs.berkeley.edu {sjang, mciesielski}@logic-mill.com [email protected] ABSTRACT The present paper outlines the result of integrating ABC into one commercial flow and shows the results produced. This paper presents an industrial-strength CAD system for logic We named the result of this integration “Magic” to distinguish it optimization, technology mapping, and formal verification of from ABC as a public-domain system. The two are closely related synchronous designs. The new system, Magic, is based on the but not the same: ABC is a store-house of implementations called code of ABC that has been improved by adding industrial application packages, most of which are experimental, requirements. Distinctive features include: global-view incomplete, or have known bugs, while Magic integrates and optimizations for area and delay, scalable sequential synthesis, the extends only those features that create a robust optimization flow. use of white-boxes for instances that should not be mapped, and a Magic features an all-new design database developed within built-in formal verification framework to run combinational and ABC to meet industrial requirements. The database was developed sequential equivalence checking. Comparison against a reference from scratch, based on our experience gained while applying ABC industrial flow shows that Magic is capable of reducing both area to industrial designs. -
Logical Equivalence Checking of Asynchronous Circuits Using Commercial Tools
Logical Equivalence Checking of Asynchronous Circuits Using Commercial Tools Arash Saifhashemi Hsin-Ho Huang Priyanka Bhalerao Peter A. Beerel∗ Intel Corporation Electrical Engineering Yahoo Corporation Electrical Engineering Santa Clara, CA University of Southern California Sunnyvale, CA University of Southern California Email: [email protected] Los Angeles, CA Email: [email protected] Los Angeles, CA Email: [email protected] Email: [email protected] Abstract—We propose a method for logical equivalence check generally cannot be used to compare CSP with decomposed (LEC) of asynchronous circuits using commercial synchronous versions because the decomposition often introduces pipelining tools. In particular, we verify the equivalence of asynchronous that changes the allowed sequence of events at the external circuits which are modeled at the CSP-level in SystemVerilog as interface. Therefore, some researchers only check critical prop- well as circuits modeled at the micro-architectural level using con- erties on the final decomposed design [15], [16]. ditional communication library primitives. Our approach is based on a novel three-valued logic model that abstracts the detailed Our proposed approach is different from the previous work handshaking protocol and is thus agnostic to different gate-level in the following ways: first, since it is focused on CSP- implementations, making it applicable to a variety of different level designs, it is implementation-agnostic and can be used design styles. Our experimental results with commercial LEC for design flows that target various asynchronous templates. tools on a variety of computational blocks and an asynchronous Secondly, compared to [11], we explicitly support modules microprocessor demonstrate the applicability and limitations of the proposed approach. -
Application-Specific Integrated Circuits
Application-Specific Integrated Circuits (ASICS) S. K. Tewksbury Microelectronic Systems Research Center Dept. of Electrical and Computer Engineering West Virginia University Morgantown, WV 26506 (304)293-6371 May 15, 1996 Contents 1 Introduction 1 2 The Primary Steps of VLSI ASIC Design 3 3 The Increasing Impact of Interconnection Delays on Design 5 4 General Transistor Level Design of CMOS Circuits 6 5 ASIC Technologies 8 5.1 Full Custom Design ......................................... 8 5.2 Standard Cell ASIC Technology ................................... 9 5.3 Gate Array ASIC Technology .................................... 10 5.4 Sea-of-Gates ASIC Technology ................................... 10 5.5 CMOS Circuits using Megacell Elements .............................. 10 5.6 Field Programmable Gate Arrays: Evolving to an ASIC Technology .............. 11 6 Interconnection Performance Modeling 12 7 Clock Distribution 14 8 Power Distribution 15 9 Analog and Mixed-Signal ASICs 16 10 Summary 16 1 Introduction Today’s VLSI CMOS technologies can place and interconnect several million transistors (representing over a million gates) on a single integrated circuit (IC) approximately 1 cm square. Provided with such a vast number of gates, a digital system designer can implement very sophisticated and complex system functions (including full systems) on a single IC. However, ecient design (including optimized performance) of such functions using all these gates is a complex puzzle of immense complexity. If this technology were to have been provided to the world overnight, it is doubtful that designers could in fact make use of this vast amount of logic on an IC. 1 Figure 1: Photomicrograph of the SHARC digital signal processor of Analog Devices, Inc., provided for this chapter by Douglas Garde, Analog Devices, Inc., Norwood, MA.