A Review on Codec?s for Crosstalk Avoidance in VLSI Interconnects

This paper reviews different encoding and decoding techniques for reducing crosstalk noise, delay and power dissipation using Fibonacci codes. The increasing demand for SOCs lead to several issues like crosstalk, delay, data security, especially area and power consumption. This makes the researchers are tending to resolve all these issues. Here we are concentrating on the crosstalk avoidance in on-chip buses. There are several techniques for crosstalk avoidance that is mainly concentrated on eliminating capacitive crosstalk completely, but not inductance. But due to faster clock speeds, lengthy interconnects and smaller rise and fall times inductive crosstalk?s became significant. This paper reviews all the schemes in order to have a better performance in avoiding inductive and capacitive crosstalk

ENCODING SCHEME FOR CROSSTALK MINIMIZATION

ABSTRACT Crosstalk in on-chip buses ends up in serious issues relating delay and power dissipation. Many encoding techniques were proposed avoid crosstalk step-down. Fibonacci based coding reduces the amount of transitions within the code words and therefore moves itself closed to an entire resolution for crosstalk step-down. The crosstalk impact may be a consequence of coupling and switching activities that's encountered once there is a transition as compared to previous state of wire and once there are transitions in adjacent wires. There are many strategies for the reduction of power dissipation, crosstalk and delay. This paper proposes encoding theme to realize the crosstalk. This coding technique is enforced mistreatment VHDL. This proposed algorithmic program is cut back the crosstalk and delay

A Novel Encoding Scheme for Cross-Talk Effect Minimization Using Error Detecting and Correcting Codes

Abstract-In this paper a new bus encoding method presented for reducing crosstalk effects, which can avoid crosstalk and provide error-correcting as well. This method find a subset from cross talk avoidance code (CAC) to provide error correction which allows to reduce the crosstalk-induced delay with buses implementing an error detecting/correcting code. Here we propose Fibonacci representation of single error correcting codes using Hamming code to avoid crosstalk induced delay. Extra wires for checking bus are never required in the proposed method and it can also improve bus performance and reduce power dissipation. We give algorithms for obtaining optimal encodings and present a particular class of error free codes. Conversely other bus encoding techniques have been used to prevent crosstalk but don't correct error

Design and development study for a space base multiple signal modem /SMDS/, volume 2 Final report

Technical descriptions and specifications of modules and subunits for space base multiple signal mode

Low Power Design Methodology

Due to widespread application of portable electronic devices and the evaluation of microelectronic technology, power dissipation has become a critical parameter in low power VLSI circuit designs. In emerging VLSI technology, the circuit complexity and high speed imply significant increase in the power consumption. In low power CMOS VLSI circuits, the energy dissipation is caused by charging and discharging of internal node capacitances due to transition activity, which is one of the major factors that also affect the dynamic power dissipation. The reduction in power, area and the improvement of speed require optimization at all levels of design procedures. Here various design methodologies are discussed to achieve our required low power design concepts

Minimizing Simultaneous Switching Noise (SSN) using Modified Odd/Even Bus Invert Method

Abstrac

Beyond 5G Fronthaul based on FSO Using Spread Spectrum Codes and Graphene Modulators.

High data rate coverage, security, and energy efficiency will play a key role in the continued performance scaling of next-generation mobile systems. Dense, small mobile cells based on a novel network architecture are part of the answer. Motivated by the recent mounting interest in free-space optical (FSO) technologies, this paper addresses a novel mobile fronthaul network architecture based on FSO, spread spectrum codes, and graphene modulators for the creation of dense small cells. The network uses an energy-efficient graphene modulator to send data bits to be coded with spread codes for achieving higher security before their transmission to remote units via high-speed FSO transmitters. Analytical results show the new fronthaul mobile network can accommodate up to 32 remote antennas under error-free transmissions with forward error correction. Furthermore, the modulator is optimized to provide maximum efficiency in terms of energy consumption per bit. The optimization procedure is carried out by optimizing both the amount of graphene used on the ring resonator and the modulator’s design. The optimized graphene modulator is used in the new fronthaul network and requires as low as 4.6 fJ/bit while enabling high-speed performance up to 42.6 GHz and remarkably using one-quarter of graphene only

Network-on-Chip

Addresses the Challenges Associated with System-on-Chip Integration Network-on-Chip: The Next Generation of System-on-Chip Integration examines the current issues restricting chip-on-chip communication efficiency, and explores Network-on-chip (NoC), a promising alternative that equips designers with the capability to produce a scalable, reusable, and high-performance communication backbone by allowing for the integration of a large number of cores on a single system-on-chip (SoC). This book provides a basic overview of topics associated with NoC-based design: communication infrastructure design, communication methodology, evaluation framework, and mapping of applications onto NoC. It details the design and evaluation of different proposed NoC structures, low-power techniques, signal integrity and reliability issues, application mapping, testing, and future trends. Utilizing examples of chips that have been implemented in industry and academia, this text presents the full architectural design of components verified through implementation in industrial CAD tools. It describes NoC research and developments, incorporates theoretical proofs strengthening the analysis procedures, and includes algorithms used in NoC design and synthesis. In addition, it considers other upcoming NoC issues, such as low-power NoC design, signal integrity issues, NoC testing, reconfiguration, synthesis, and 3-D NoC design. This text comprises 12 chapters and covers: The evolution of NoC from SoC—its research and developmental challenges NoC protocols, elaborating flow control, available network topologies, routing mechanisms, fault tolerance, quality-of-service support, and the design of network interfaces The router design strategies followed in NoCs The evaluation mechanism of NoC architectures The application mapping strategies followed in NoCs Low-power design techniques specifically followed in NoCs The signal integrity and reliability issues of NoC The details of NoC testing strategies reported so far The problem of synthesizing application-specific NoCs Reconfigurable NoC design issues Direction of future research and development in the field of NoC Network-on-Chip: The Next Generation of System-on-Chip Integration covers the basic topics, technology, and future trends relevant to NoC-based design, and can be used by engineers, students, and researchers and other industry professionals interested in computer architecture, embedded systems, and parallel/distributed systems

STATISTICAL MACHINE LEARNING BASED MODELING FRAMEWORK FOR DESIGN SPACE EXPLORATION AND RUN-TIME CROSS-STACK ENERGY OPTIMIZATION FOR MANY-CORE PROCESSORS

The complexity of many-core processors continues to grow as a larger number of heterogeneous cores are integrated on a single chip. Such systems-on-chip contains computing structures ranging from complex out-of-order cores, simple in-order cores, digital signal processors (DSPs), graphic processing units (GPUs), application specific processors, hardware accelerators, I/O subsystems, network-on-chip interconnects, and large caches arranged in complex hierarchies. While the industry focus is on putting higher number of cores on a single chip, the key challenge is to optimally architect these many-core processors such that performance, energy and area constraints are satisfied. The traditional approach to processor design through extensive cycle accurate simulations are ill-suited for designing many-core processors due to the large microarchitecture design space that must be explored. Additionally it is hard to optimize such complex processors and the applications that run on them statically at design time such that performance and energy constraints are met under dynamically changing operating conditions. The dissertation establishes statistical machine learning based modeling framework that enables the efficient design and operation of many-core processors that meets performance, energy and area constraints. We apply the proposed framework to rapidly design the microarchitecture of a many-core processor for multimedia, computer graphics rendering, finance, and data mining applications derived from the Parsec benchmark. We further demonstrate the application of the framework in the joint run-time adaptation of both the application and microarchitecture such that energy availability constraints are met