Logic Synthesis and VerificationSoha Hassoun, Tsutomu Sasao Springer Science & Business Media, 2012. gada 6. dec. - 454 lappuses Research and development of logic synthesis and verification have matured considerably over the past two decades. Many commercial products are available, and they have been critical in harnessing advances in fabrication technology to produce today's plethora of electronic components. While this maturity is assuring, the advances in fabrication continue to seemingly present unwieldy challenges. Logic Synthesis and Verification provides a state-of-the-art view of logic synthesis and verification. It consists of fifteen chapters, each focusing on a distinct aspect. Each chapter presents key developments, outlines future challenges, and lists essential references. Two unique features of this book are technical strength and comprehensiveness. The book chapters are written by twenty-eight recognized leaders in the field and reviewed by equally qualified experts. The topics collectively span the field. Logic Synthesis and Verification fills a current gap in the existing CAD literature. Each chapter contains essential information to study a topic at a great depth, and to understand further developments in the field. The book is intended for seniors, graduate students, researchers, and developers of related Computer-Aided Design (CAD) tools. From the foreword: "The commercial success of logic synthesis and verification is due in large part to the ideas of many of the authors of this book. Their innovative work contributed to design automation tools that permanently changed the course of electronic design." by Aart J. de Geus, Chairman and CEO, Synopsys, Inc. |
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1.5. rezultāts no 70.
1. lappuse
... operations used in heuristic logic mini- mization programs . Let f be a function from { 0 , 1 } " into { 0 , 1 , * } . The care set of ƒ is defined as f1 ( 1 ) , and will be noted f1 . The don't - care set of f , f - 1 ( * ) , will be ...
... operations used in heuristic logic mini- mization programs . Let f be a function from { 0 , 1 } " into { 0 , 1 , * } . The care set of ƒ is defined as f1 ( 1 ) , and will be noted f1 . The don't - care set of f , f - 1 ( * ) , will be ...
12. lappuse
... operations used in heuristic logic mini- mizers , illustrated with examples and Karnaugh maps [ 39 ] . 1.3.1 BASIC OPERATIONS The following is a simple logic minimization algorithm . Algorithm 1.3.1 ( Simplification of SOPs ) . Step 1 ...
... operations used in heuristic logic mini- mizers , illustrated with examples and Karnaugh maps [ 39 ] . 1.3.1 BASIC OPERATIONS The following is a simple logic minimization algorithm . Algorithm 1.3.1 ( Simplification of SOPs ) . Step 1 ...
14. lappuse
... operation . the direction x3 either . Since c2 cannot be expanded into any direction , it is a prime implicant of F2 . Similarly , we can see that xã1⁄2 and î ̧a1⁄2 are Pls of F2 . Finally , by expand- ing Ã1Ã2x3 into the direction x2 ...
... operation . the direction x3 either . Since c2 cannot be expanded into any direction , it is a prime implicant of F2 . Similarly , we can see that xã1⁄2 and î ̧a1⁄2 are Pls of F2 . Finally , by expand- ing Ã1Ã2x3 into the direction x2 ...
15. lappuse
... operations . In Fig . 1.11 ( c ) , if we DELETE c2 first , then we have an ISOP with four products . On the other hand , if we DELETE c1 and then c3 , then we have a minimum SOP with only three products . 1.3.2 METHODS TO IMPROVE ISOPS ...
... operations . In Fig . 1.11 ( c ) , if we DELETE c2 first , then we have an ISOP with four products . On the other hand , if we DELETE c1 and then c3 , then we have a minimum SOP with only three products . 1.3.2 METHODS TO IMPROVE ISOPS ...
16. lappuse
... operation changes c1 and c2 in Fig . 1.12 ( a ) , into c3 and c4 in Fig . 1.12 ( b ) , respectively . REDUCE induces new MERGE operations , which can help improving the solution . RESHAPE replaces a pair of adjacent products into ...
... operation changes c1 and c2 in Fig . 1.12 ( a ) , into c3 and c4 in Fig . 1.12 ( b ) , respectively . REDUCE induces new MERGE operations , which can help improving the solution . RESHAPE replaces a pair of adjacent products into ...
Saturs
29 | |
Chapter 3 | 64 |
Chapter 4 | 89 |
Chapter 5 | 115 |
Chapter 6 | 141 |
Chapter 7 | 166 |
Chapter 8 | 197 |
Chapter 9 | 225 |
Chapter 10 | 254 |
Chapter 11 | 285 |
Chapter 12 | 309 |
Chapter 13 | 342 |
Chapter 14 | 373 |
Chapter 15 | 403 |
Appendices | 435 |
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algebraic algorithm applied assignment asynchronous circuits ATPG backtrack binary binary decision diagrams Boolean function Brayton buffering capacitance cells chapter clause clock combinational Computer Science Computer-Aided Design Conf Conference on Computer-Aided constraints cost covering cube cutpoints decision diagrams decomposition delay model Design Automation Conference efficient encoding equivalence checking example false path fanin fanout finite state machines flexibility formal verification global graph hazard-free heuristic IEEE Trans IEEE Transactions implementation iterative latch literals load logic functions logic minimization logic optimization logic synthesis machine match methods minimum multi-level logic multiple-valued functions multiple-valued logic netlist node OBDD operation partition placement problem Proc propagation reachable reduced representation represented resizing retiming routing Sangiovanni-Vincentelli sequential shown in Figure signal solution specific SPFD static timing analysis structure switching techniques technology mapping tion transformations transition tree two-level variable verification VLSI wire