SlideShare uma empresa Scribd logo
1 de 5
Minimum Parallel Binary Adders with NOR (NAND) Gates
ABSTRACT:
Parallel binary adders of n bits long in single-rail input logic which have a
minimum number of NOR gates are derived in this paper. The minimality of the
number of NOR gates is proved for an arbitrary value of n. Also, it is proved that
the adders must be a cascade of basic modules and that there exist many different
types of basic modules. These adders have fewer gates and shorter net gate delays
(or fewer connections) than the widely used carry-ripple adders which are a
cascade of one-bit full adders. Design procedures of such adders are described,
based on the integer-programming logic design method. There are many solutions
but adders with few connections and those with few net gate delays (all these
adders have the minimum number of gates) are shown as important examples.
Altbough these adders are designed with NOR gates, the results in this paper are
applicable to adders with NAND gates by duality conversion.
EXISTING SYSTEM:
A parallel binary adder of n-bits constructed by cascading n stages of one-bit full
adders is called a carry ripple adder. Although carry-ripple adders are usually used
where a high-speed adder is not required or the compactness of a network -is most
important,- the carry-ripple adder is faster than the carry-look-ahead adder [6] in
some electronic implementation (e.g., the carry-ripple adder was preferred for high
speed in Intel's MOS microprocessor 8080 [2] due to greater parasitic capacitance
of the carry-look-ahead adder). Because of the importance of one-bit full adders,
minimum logic networks realizing one-bit full adders have been studied for some
time. Minimum one-bit full adders with NAND (or NOR) gates can be found in
[1], [7], [4]. Also minimum one-bit full adders with NOR, NAND, AND, and OR
gates under various types of restrictions were solved [4] by using the integer
programming logic design method [10], [11], [8]. It should be noted that these
networks have a minimum number of gates only for one-bitfull adders and may not
necessarily be basic units of a parallel binary adder of n-bits with a minimum
number of gates. In the case of a parallel binary adder of n-bits, it should be noted
that carries ci in (1.1) need not be explicitly produced. Majerski and Wiweger [12],
and Quatse and Keir [15] showed one-bit binary adder modules with NOR gates in
each of which the carry is not represented by a single line, but by two or four lines
(only in the case of double-rail input logic without proving the minimality of the
number of gates unlike our discussion in this paper, though).
In other words, ci+1 itself is not an output of such a module, but the module
has two outputs (or four outputs), in addition to the output for si, such that the
disjunction of the two expresses the carry signal (and its complement, if four
outputs). For this reason such an adder module will not be called a one-bitfull
adder but a one-bit adder module. It can be shown that a parallel adder consisting
of such adder modules consists of fewer gates and has fewer net gate delays or
fewer connections than the widely used conventional carry-ripple adder.
PROPOSED SYSTEM:
The compactness of networks is becoming more important since the cost of an LSI
chip depends largely on the chip size and also the production yield which is closely
related to the chip size. Furthermore, a more compact network can often increase
the speed because of its lower parasitic capacitance. In actual logic design, the chip
area occupied by a network cannot be known until the actual layout is made. Based
on some computational results, it is concluded in [9] that the minimization of the
number of gates as the primary objective and the number of connections as the
secondary objective usually yields most compact networks even in the case of LSI,
at least for functions of a small number of variables. However, since obtaining
minimum networks for
functions which require a large number of gates is computationally infeasible (e.g.,
[4], [9], [1], [7, p. 42]), minimum networks for parallel adders of a large number of
bits have not yet been obtained despite their significance. In this paper, we will
obtain NOR networks with a minimum number of gates for a parallel binary adder
of n-bits for an arbitrary value of n. Henceforth a network with a minimum number
of gates will be called a G-minimum network.
SOFTWARE IMPLEMENTATION:
 Modelsim 6.0
 Xilinx 14.2
HARDWARE IMPLEMENTATION:
 SPARTAN-III, SPARTAN-VI

Mais conteúdo relacionado

Mais procurados

Ppt fnr arbitrary length small domain block cipher proposal
Ppt fnr  arbitrary length small domain block cipher proposalPpt fnr  arbitrary length small domain block cipher proposal
Ppt fnr arbitrary length small domain block cipher proposalKarunakar Saroj
 
Combinational logic circuit
Combinational logic circuitCombinational logic circuit
Combinational logic circuitRihab Rahman
 
Byte Rotation Algorithm
Byte Rotation AlgorithmByte Rotation Algorithm
Byte Rotation AlgorithmEngr0918
 
Hardware Implementations of RS Decoding Algorithm for Multi-Gb/s Communicatio...
Hardware Implementations of RS Decoding Algorithm for Multi-Gb/s Communicatio...Hardware Implementations of RS Decoding Algorithm for Multi-Gb/s Communicatio...
Hardware Implementations of RS Decoding Algorithm for Multi-Gb/s Communicatio...RSIS International
 
OPTIMIZED MULTIPLIER USING REVERSIBLE MULTICONTROL INPUT TOFFOLI GATES
OPTIMIZED MULTIPLIER USING REVERSIBLE MULTICONTROL INPUT TOFFOLI GATESOPTIMIZED MULTIPLIER USING REVERSIBLE MULTICONTROL INPUT TOFFOLI GATES
OPTIMIZED MULTIPLIER USING REVERSIBLE MULTICONTROL INPUT TOFFOLI GATESVLSICS Design
 
Evolution of Structure of Some Binary Group-Based N-Bit Compartor, N-To-2N De...
Evolution of Structure of Some Binary Group-Based N-Bit Compartor, N-To-2N De...Evolution of Structure of Some Binary Group-Based N-Bit Compartor, N-To-2N De...
Evolution of Structure of Some Binary Group-Based N-Bit Compartor, N-To-2N De...VLSICS Design
 
Packetizing scalable streams in heterogeneous peer to-peer networks
Packetizing scalable streams in heterogeneous peer to-peer networksPacketizing scalable streams in heterogeneous peer to-peer networks
Packetizing scalable streams in heterogeneous peer to-peer networksAlpen-Adria-Universität
 
NSC #2 - D1 05 - Renaud Lifchitz - Quantum computing in practice
NSC #2 - D1 05 - Renaud Lifchitz - Quantum computing in practiceNSC #2 - D1 05 - Renaud Lifchitz - Quantum computing in practice
NSC #2 - D1 05 - Renaud Lifchitz - Quantum computing in practiceNoSuchCon
 
Low power ldpc decoder implementation using layer decoding
Low power ldpc decoder implementation using layer decodingLow power ldpc decoder implementation using layer decoding
Low power ldpc decoder implementation using layer decodingajithc0003
 
Simple regenerating codes: Network Coding for Cloud Storage
Simple regenerating codes: Network Coding for Cloud StorageSimple regenerating codes: Network Coding for Cloud Storage
Simple regenerating codes: Network Coding for Cloud StorageKevin Tong
 
My review on low density parity check codes
My review on low density parity check codesMy review on low density parity check codes
My review on low density parity check codespulugurtha venkatesh
 
An area efficient relaxed half-stochastic decoding architecture for nonbinary...
An area efficient relaxed half-stochastic decoding architecture for nonbinary...An area efficient relaxed half-stochastic decoding architecture for nonbinary...
An area efficient relaxed half-stochastic decoding architecture for nonbinary...LogicMindtech Nologies
 

Mais procurados (15)

Ppt fnr arbitrary length small domain block cipher proposal
Ppt fnr  arbitrary length small domain block cipher proposalPpt fnr  arbitrary length small domain block cipher proposal
Ppt fnr arbitrary length small domain block cipher proposal
 
Combinational logic circuit
Combinational logic circuitCombinational logic circuit
Combinational logic circuit
 
Byte Rotation Algorithm
Byte Rotation AlgorithmByte Rotation Algorithm
Byte Rotation Algorithm
 
Hardware Implementations of RS Decoding Algorithm for Multi-Gb/s Communicatio...
Hardware Implementations of RS Decoding Algorithm for Multi-Gb/s Communicatio...Hardware Implementations of RS Decoding Algorithm for Multi-Gb/s Communicatio...
Hardware Implementations of RS Decoding Algorithm for Multi-Gb/s Communicatio...
 
2 1
2 12 1
2 1
 
OPTIMIZED MULTIPLIER USING REVERSIBLE MULTICONTROL INPUT TOFFOLI GATES
OPTIMIZED MULTIPLIER USING REVERSIBLE MULTICONTROL INPUT TOFFOLI GATESOPTIMIZED MULTIPLIER USING REVERSIBLE MULTICONTROL INPUT TOFFOLI GATES
OPTIMIZED MULTIPLIER USING REVERSIBLE MULTICONTROL INPUT TOFFOLI GATES
 
LDPC
LDPCLDPC
LDPC
 
Evolution of Structure of Some Binary Group-Based N-Bit Compartor, N-To-2N De...
Evolution of Structure of Some Binary Group-Based N-Bit Compartor, N-To-2N De...Evolution of Structure of Some Binary Group-Based N-Bit Compartor, N-To-2N De...
Evolution of Structure of Some Binary Group-Based N-Bit Compartor, N-To-2N De...
 
Packetizing scalable streams in heterogeneous peer to-peer networks
Packetizing scalable streams in heterogeneous peer to-peer networksPacketizing scalable streams in heterogeneous peer to-peer networks
Packetizing scalable streams in heterogeneous peer to-peer networks
 
NSC #2 - D1 05 - Renaud Lifchitz - Quantum computing in practice
NSC #2 - D1 05 - Renaud Lifchitz - Quantum computing in practiceNSC #2 - D1 05 - Renaud Lifchitz - Quantum computing in practice
NSC #2 - D1 05 - Renaud Lifchitz - Quantum computing in practice
 
Low power ldpc decoder implementation using layer decoding
Low power ldpc decoder implementation using layer decodingLow power ldpc decoder implementation using layer decoding
Low power ldpc decoder implementation using layer decoding
 
Simple regenerating codes: Network Coding for Cloud Storage
Simple regenerating codes: Network Coding for Cloud StorageSimple regenerating codes: Network Coding for Cloud Storage
Simple regenerating codes: Network Coding for Cloud Storage
 
My review on low density parity check codes
My review on low density parity check codesMy review on low density parity check codes
My review on low density parity check codes
 
Polyraptor
PolyraptorPolyraptor
Polyraptor
 
An area efficient relaxed half-stochastic decoding architecture for nonbinary...
An area efficient relaxed half-stochastic decoding architecture for nonbinary...An area efficient relaxed half-stochastic decoding architecture for nonbinary...
An area efficient relaxed half-stochastic decoding architecture for nonbinary...
 

Semelhante a Minimum parallel binary adders with nor (nand) gates

Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...
Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...
Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...VLSICS Design
 
Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...
Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...
Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...VLSICS Design
 
CRDOM: CELL RE-ORDERING BASED DOMINO ON-THE-FLY MAPPING
CRDOM: CELL RE-ORDERING BASED DOMINO ON-THE-FLY MAPPINGCRDOM: CELL RE-ORDERING BASED DOMINO ON-THE-FLY MAPPING
CRDOM: CELL RE-ORDERING BASED DOMINO ON-THE-FLY MAPPINGVLSICS Design
 
Investigating the Performance of NoC Using Hierarchical Routing Approach
Investigating the Performance of NoC Using Hierarchical Routing ApproachInvestigating the Performance of NoC Using Hierarchical Routing Approach
Investigating the Performance of NoC Using Hierarchical Routing ApproachIJERA Editor
 
Investigating the Performance of NoC Using Hierarchical Routing Approach
Investigating the Performance of NoC Using Hierarchical Routing ApproachInvestigating the Performance of NoC Using Hierarchical Routing Approach
Investigating the Performance of NoC Using Hierarchical Routing ApproachIJERA Editor
 
MINIMALLY BUFFERED ROUTER USING WEIGHTED DEFLECTION ROUTING FOR MESH NETWORK ...
MINIMALLY BUFFERED ROUTER USING WEIGHTED DEFLECTION ROUTING FOR MESH NETWORK ...MINIMALLY BUFFERED ROUTER USING WEIGHTED DEFLECTION ROUTING FOR MESH NETWORK ...
MINIMALLY BUFFERED ROUTER USING WEIGHTED DEFLECTION ROUTING FOR MESH NETWORK ...VLSICS Design
 
EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...
EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...
EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...VLSICS Design
 
Ieee 2015 project list_vlsi
Ieee 2015 project list_vlsiIeee 2015 project list_vlsi
Ieee 2015 project list_vlsiigeeks1234
 
Ieee 2015 project list_vlsi
Ieee 2015 project list_vlsiIeee 2015 project list_vlsi
Ieee 2015 project list_vlsiigeeks1234
 
Me,be ieee 2015 project list_vlsi
Me,be ieee 2015 project list_vlsiMe,be ieee 2015 project list_vlsi
Me,be ieee 2015 project list_vlsiigeeks1234
 
Crdom cell re ordering based domino on-the-fly mapping
Crdom  cell re ordering based domino on-the-fly mappingCrdom  cell re ordering based domino on-the-fly mapping
Crdom cell re ordering based domino on-the-fly mappingVLSICS Design
 
Design and Implementation A different Architectures of mixcolumn in FPGA
Design and Implementation A different Architectures of mixcolumn in FPGADesign and Implementation A different Architectures of mixcolumn in FPGA
Design and Implementation A different Architectures of mixcolumn in FPGAVLSICS Design
 
Achieving congestion diversity in multi hop wireless mesh networks
Achieving congestion diversity in multi hop wireless mesh networksAchieving congestion diversity in multi hop wireless mesh networks
Achieving congestion diversity in multi hop wireless mesh networksieeeprojectschennai
 
IMPROVED EXTENDED XY ON-CHIP ROUTING IN DIAMETRICAL 2D MESH NOC
IMPROVED EXTENDED XY ON-CHIP ROUTING IN DIAMETRICAL 2D MESH NOCIMPROVED EXTENDED XY ON-CHIP ROUTING IN DIAMETRICAL 2D MESH NOC
IMPROVED EXTENDED XY ON-CHIP ROUTING IN DIAMETRICAL 2D MESH NOCVLSICS Design
 
Digital Wave Formulation of Quasi-Static Partial Element Equivalent Circuit M...
Digital Wave Formulation of Quasi-Static Partial Element Equivalent Circuit M...Digital Wave Formulation of Quasi-Static Partial Element Equivalent Circuit M...
Digital Wave Formulation of Quasi-Static Partial Element Equivalent Circuit M...Piero Belforte
 
DIGITAL WAVE FORMULATION OF PEEC METHOD (SLIDES)
DIGITAL WAVE FORMULATION OF PEEC METHOD (SLIDES)DIGITAL WAVE FORMULATION OF PEEC METHOD (SLIDES)
DIGITAL WAVE FORMULATION OF PEEC METHOD (SLIDES)Piero Belforte
 
EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...
EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...
EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...VIT-AP University
 
Research Advance04032016
Research Advance04032016Research Advance04032016
Research Advance04032016Zhongliang Zhou
 
Multiple Valued Logic for Synthesis and Simulation of Digital Circuits
Multiple Valued Logic for Synthesis and Simulation of Digital CircuitsMultiple Valued Logic for Synthesis and Simulation of Digital Circuits
Multiple Valued Logic for Synthesis and Simulation of Digital CircuitsIJERA Editor
 

Semelhante a Minimum parallel binary adders with nor (nand) gates (20)

Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...
Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...
Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...
 
Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...
Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...
Optimized Design of 2D Mesh NOC Router using Custom SRAM & Common Buffer Util...
 
CRDOM: CELL RE-ORDERING BASED DOMINO ON-THE-FLY MAPPING
CRDOM: CELL RE-ORDERING BASED DOMINO ON-THE-FLY MAPPINGCRDOM: CELL RE-ORDERING BASED DOMINO ON-THE-FLY MAPPING
CRDOM: CELL RE-ORDERING BASED DOMINO ON-THE-FLY MAPPING
 
Investigating the Performance of NoC Using Hierarchical Routing Approach
Investigating the Performance of NoC Using Hierarchical Routing ApproachInvestigating the Performance of NoC Using Hierarchical Routing Approach
Investigating the Performance of NoC Using Hierarchical Routing Approach
 
Investigating the Performance of NoC Using Hierarchical Routing Approach
Investigating the Performance of NoC Using Hierarchical Routing ApproachInvestigating the Performance of NoC Using Hierarchical Routing Approach
Investigating the Performance of NoC Using Hierarchical Routing Approach
 
MINIMALLY BUFFERED ROUTER USING WEIGHTED DEFLECTION ROUTING FOR MESH NETWORK ...
MINIMALLY BUFFERED ROUTER USING WEIGHTED DEFLECTION ROUTING FOR MESH NETWORK ...MINIMALLY BUFFERED ROUTER USING WEIGHTED DEFLECTION ROUTING FOR MESH NETWORK ...
MINIMALLY BUFFERED ROUTER USING WEIGHTED DEFLECTION ROUTING FOR MESH NETWORK ...
 
EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...
EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...
EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...
 
Ieee 2015 project list_vlsi
Ieee 2015 project list_vlsiIeee 2015 project list_vlsi
Ieee 2015 project list_vlsi
 
Ieee 2015 project list_vlsi
Ieee 2015 project list_vlsiIeee 2015 project list_vlsi
Ieee 2015 project list_vlsi
 
Me,be ieee 2015 project list_vlsi
Me,be ieee 2015 project list_vlsiMe,be ieee 2015 project list_vlsi
Me,be ieee 2015 project list_vlsi
 
Crdom cell re ordering based domino on-the-fly mapping
Crdom  cell re ordering based domino on-the-fly mappingCrdom  cell re ordering based domino on-the-fly mapping
Crdom cell re ordering based domino on-the-fly mapping
 
Design of fault tolerant algorithm for network on chip router using field pr...
Design of fault tolerant algorithm for network on chip router  using field pr...Design of fault tolerant algorithm for network on chip router  using field pr...
Design of fault tolerant algorithm for network on chip router using field pr...
 
Design and Implementation A different Architectures of mixcolumn in FPGA
Design and Implementation A different Architectures of mixcolumn in FPGADesign and Implementation A different Architectures of mixcolumn in FPGA
Design and Implementation A different Architectures of mixcolumn in FPGA
 
Achieving congestion diversity in multi hop wireless mesh networks
Achieving congestion diversity in multi hop wireless mesh networksAchieving congestion diversity in multi hop wireless mesh networks
Achieving congestion diversity in multi hop wireless mesh networks
 
IMPROVED EXTENDED XY ON-CHIP ROUTING IN DIAMETRICAL 2D MESH NOC
IMPROVED EXTENDED XY ON-CHIP ROUTING IN DIAMETRICAL 2D MESH NOCIMPROVED EXTENDED XY ON-CHIP ROUTING IN DIAMETRICAL 2D MESH NOC
IMPROVED EXTENDED XY ON-CHIP ROUTING IN DIAMETRICAL 2D MESH NOC
 
Digital Wave Formulation of Quasi-Static Partial Element Equivalent Circuit M...
Digital Wave Formulation of Quasi-Static Partial Element Equivalent Circuit M...Digital Wave Formulation of Quasi-Static Partial Element Equivalent Circuit M...
Digital Wave Formulation of Quasi-Static Partial Element Equivalent Circuit M...
 
DIGITAL WAVE FORMULATION OF PEEC METHOD (SLIDES)
DIGITAL WAVE FORMULATION OF PEEC METHOD (SLIDES)DIGITAL WAVE FORMULATION OF PEEC METHOD (SLIDES)
DIGITAL WAVE FORMULATION OF PEEC METHOD (SLIDES)
 
EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...
EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...
EVOLUTION OF STRUCTURE OF SOME BINARY GROUP-BASED N-BIT COMPARATOR, N-TO-2N D...
 
Research Advance04032016
Research Advance04032016Research Advance04032016
Research Advance04032016
 
Multiple Valued Logic for Synthesis and Simulation of Digital Circuits
Multiple Valued Logic for Synthesis and Simulation of Digital CircuitsMultiple Valued Logic for Synthesis and Simulation of Digital Circuits
Multiple Valued Logic for Synthesis and Simulation of Digital Circuits
 

Mais de jpstudcorner

Variable length signature for near-duplicate
Variable length signature for near-duplicateVariable length signature for near-duplicate
Variable length signature for near-duplicatejpstudcorner
 
Robust representation and recognition of facial
Robust representation and recognition of facialRobust representation and recognition of facial
Robust representation and recognition of facialjpstudcorner
 
Revealing the trace of high quality jpeg
Revealing the trace of high quality jpegRevealing the trace of high quality jpeg
Revealing the trace of high quality jpegjpstudcorner
 
Revealing the trace of high quality jpeg
Revealing the trace of high quality jpegRevealing the trace of high quality jpeg
Revealing the trace of high quality jpegjpstudcorner
 
Pareto depth for multiple-query image retrieval
Pareto depth for multiple-query image retrievalPareto depth for multiple-query image retrieval
Pareto depth for multiple-query image retrievaljpstudcorner
 
Multifocus image fusion based on nsct
Multifocus image fusion based on nsctMultifocus image fusion based on nsct
Multifocus image fusion based on nsctjpstudcorner
 
Image super resolution based on
Image super resolution based onImage super resolution based on
Image super resolution based onjpstudcorner
 
Fractal analysis for reduced reference
Fractal analysis for reduced referenceFractal analysis for reduced reference
Fractal analysis for reduced referencejpstudcorner
 
Face sketch synthesis via sparse representation based greedy search
Face sketch synthesis via sparse representation based greedy searchFace sketch synthesis via sparse representation based greedy search
Face sketch synthesis via sparse representation based greedy searchjpstudcorner
 
Face recognition across non uniform motion
Face recognition across non uniform motionFace recognition across non uniform motion
Face recognition across non uniform motionjpstudcorner
 
Combining left and right palmprint images for
Combining left and right palmprint images forCombining left and right palmprint images for
Combining left and right palmprint images forjpstudcorner
 
A probabilistic approach for color correction
A probabilistic approach for color correctionA probabilistic approach for color correction
A probabilistic approach for color correctionjpstudcorner
 
A no reference texture regularity metric
A no reference texture regularity metricA no reference texture regularity metric
A no reference texture regularity metricjpstudcorner
 
A feature enriched completely blind image
A feature enriched completely blind imageA feature enriched completely blind image
A feature enriched completely blind imagejpstudcorner
 
Sel csp a framework to facilitate
Sel csp a framework to facilitateSel csp a framework to facilitate
Sel csp a framework to facilitatejpstudcorner
 
Query aware determinization of uncertain
Query aware determinization of uncertainQuery aware determinization of uncertain
Query aware determinization of uncertainjpstudcorner
 
Psmpa patient self controllable
Psmpa patient self controllablePsmpa patient self controllable
Psmpa patient self controllablejpstudcorner
 
Privacy preserving and truthful detection
Privacy preserving and truthful detectionPrivacy preserving and truthful detection
Privacy preserving and truthful detectionjpstudcorner
 
Privacy policy inference of user uploaded
Privacy policy inference of user uploadedPrivacy policy inference of user uploaded
Privacy policy inference of user uploadedjpstudcorner
 
Page a partition aware engine
Page a partition aware enginePage a partition aware engine
Page a partition aware enginejpstudcorner
 

Mais de jpstudcorner (20)

Variable length signature for near-duplicate
Variable length signature for near-duplicateVariable length signature for near-duplicate
Variable length signature for near-duplicate
 
Robust representation and recognition of facial
Robust representation and recognition of facialRobust representation and recognition of facial
Robust representation and recognition of facial
 
Revealing the trace of high quality jpeg
Revealing the trace of high quality jpegRevealing the trace of high quality jpeg
Revealing the trace of high quality jpeg
 
Revealing the trace of high quality jpeg
Revealing the trace of high quality jpegRevealing the trace of high quality jpeg
Revealing the trace of high quality jpeg
 
Pareto depth for multiple-query image retrieval
Pareto depth for multiple-query image retrievalPareto depth for multiple-query image retrieval
Pareto depth for multiple-query image retrieval
 
Multifocus image fusion based on nsct
Multifocus image fusion based on nsctMultifocus image fusion based on nsct
Multifocus image fusion based on nsct
 
Image super resolution based on
Image super resolution based onImage super resolution based on
Image super resolution based on
 
Fractal analysis for reduced reference
Fractal analysis for reduced referenceFractal analysis for reduced reference
Fractal analysis for reduced reference
 
Face sketch synthesis via sparse representation based greedy search
Face sketch synthesis via sparse representation based greedy searchFace sketch synthesis via sparse representation based greedy search
Face sketch synthesis via sparse representation based greedy search
 
Face recognition across non uniform motion
Face recognition across non uniform motionFace recognition across non uniform motion
Face recognition across non uniform motion
 
Combining left and right palmprint images for
Combining left and right palmprint images forCombining left and right palmprint images for
Combining left and right palmprint images for
 
A probabilistic approach for color correction
A probabilistic approach for color correctionA probabilistic approach for color correction
A probabilistic approach for color correction
 
A no reference texture regularity metric
A no reference texture regularity metricA no reference texture regularity metric
A no reference texture regularity metric
 
A feature enriched completely blind image
A feature enriched completely blind imageA feature enriched completely blind image
A feature enriched completely blind image
 
Sel csp a framework to facilitate
Sel csp a framework to facilitateSel csp a framework to facilitate
Sel csp a framework to facilitate
 
Query aware determinization of uncertain
Query aware determinization of uncertainQuery aware determinization of uncertain
Query aware determinization of uncertain
 
Psmpa patient self controllable
Psmpa patient self controllablePsmpa patient self controllable
Psmpa patient self controllable
 
Privacy preserving and truthful detection
Privacy preserving and truthful detectionPrivacy preserving and truthful detection
Privacy preserving and truthful detection
 
Privacy policy inference of user uploaded
Privacy policy inference of user uploadedPrivacy policy inference of user uploaded
Privacy policy inference of user uploaded
 
Page a partition aware engine
Page a partition aware enginePage a partition aware engine
Page a partition aware engine
 

Último

Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionDr.Costas Sachpazis
 
computer application and construction management
computer application and construction managementcomputer application and construction management
computer application and construction managementMariconPadriquez1
 
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETEINFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETEroselinkalist12
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx959SahilShah
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerAnamika Sarkar
 
An introduction to Semiconductor and its types.pptx
An introduction to Semiconductor and its types.pptxAn introduction to Semiconductor and its types.pptx
An introduction to Semiconductor and its types.pptxPurva Nikam
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxJoão Esperancinha
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort servicejennyeacort
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncssuser2ae721
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.eptoze12
 
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxDeepakSakkari2
 
8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitter8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitterShivangiSharma879191
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxbritheesh05
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)dollysharma2066
 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfROCENODodongVILLACER
 

Último (20)

Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
 
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
computer application and construction management
computer application and construction managementcomputer application and construction management
computer application and construction management
 
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETEINFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
 
An introduction to Semiconductor and its types.pptx
An introduction to Semiconductor and its types.pptxAn introduction to Semiconductor and its types.pptx
An introduction to Semiconductor and its types.pptx
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
 
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptx
 
8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitter8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitter
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdf
 

Minimum parallel binary adders with nor (nand) gates

  • 1. Minimum Parallel Binary Adders with NOR (NAND) Gates ABSTRACT: Parallel binary adders of n bits long in single-rail input logic which have a minimum number of NOR gates are derived in this paper. The minimality of the number of NOR gates is proved for an arbitrary value of n. Also, it is proved that the adders must be a cascade of basic modules and that there exist many different types of basic modules. These adders have fewer gates and shorter net gate delays (or fewer connections) than the widely used carry-ripple adders which are a cascade of one-bit full adders. Design procedures of such adders are described, based on the integer-programming logic design method. There are many solutions but adders with few connections and those with few net gate delays (all these adders have the minimum number of gates) are shown as important examples. Altbough these adders are designed with NOR gates, the results in this paper are applicable to adders with NAND gates by duality conversion.
  • 2. EXISTING SYSTEM: A parallel binary adder of n-bits constructed by cascading n stages of one-bit full adders is called a carry ripple adder. Although carry-ripple adders are usually used where a high-speed adder is not required or the compactness of a network -is most important,- the carry-ripple adder is faster than the carry-look-ahead adder [6] in some electronic implementation (e.g., the carry-ripple adder was preferred for high speed in Intel's MOS microprocessor 8080 [2] due to greater parasitic capacitance of the carry-look-ahead adder). Because of the importance of one-bit full adders, minimum logic networks realizing one-bit full adders have been studied for some time. Minimum one-bit full adders with NAND (or NOR) gates can be found in [1], [7], [4]. Also minimum one-bit full adders with NOR, NAND, AND, and OR gates under various types of restrictions were solved [4] by using the integer programming logic design method [10], [11], [8]. It should be noted that these networks have a minimum number of gates only for one-bitfull adders and may not necessarily be basic units of a parallel binary adder of n-bits with a minimum number of gates. In the case of a parallel binary adder of n-bits, it should be noted that carries ci in (1.1) need not be explicitly produced. Majerski and Wiweger [12], and Quatse and Keir [15] showed one-bit binary adder modules with NOR gates in each of which the carry is not represented by a single line, but by two or four lines
  • 3. (only in the case of double-rail input logic without proving the minimality of the number of gates unlike our discussion in this paper, though). In other words, ci+1 itself is not an output of such a module, but the module has two outputs (or four outputs), in addition to the output for si, such that the disjunction of the two expresses the carry signal (and its complement, if four outputs). For this reason such an adder module will not be called a one-bitfull adder but a one-bit adder module. It can be shown that a parallel adder consisting of such adder modules consists of fewer gates and has fewer net gate delays or fewer connections than the widely used conventional carry-ripple adder. PROPOSED SYSTEM: The compactness of networks is becoming more important since the cost of an LSI chip depends largely on the chip size and also the production yield which is closely related to the chip size. Furthermore, a more compact network can often increase the speed because of its lower parasitic capacitance. In actual logic design, the chip area occupied by a network cannot be known until the actual layout is made. Based on some computational results, it is concluded in [9] that the minimization of the number of gates as the primary objective and the number of connections as the secondary objective usually yields most compact networks even in the case of LSI,
  • 4. at least for functions of a small number of variables. However, since obtaining minimum networks for functions which require a large number of gates is computationally infeasible (e.g., [4], [9], [1], [7, p. 42]), minimum networks for parallel adders of a large number of bits have not yet been obtained despite their significance. In this paper, we will obtain NOR networks with a minimum number of gates for a parallel binary adder of n-bits for an arbitrary value of n. Henceforth a network with a minimum number of gates will be called a G-minimum network.
  • 5. SOFTWARE IMPLEMENTATION:  Modelsim 6.0  Xilinx 14.2 HARDWARE IMPLEMENTATION:  SPARTAN-III, SPARTAN-VI