Power Optimization Of Delay Constrained Circuits

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Circuit Optimization by Transistor Reordering for

algorithms d'o not take power consumption into account and/or require too long a run-time to be used o'n the large circuits of today. The work described here is a pa.rt of an effort to develop a circuit optimization algorithm for minimizing power consumption and area under delay constraint.

Memory, Area and Power Optimization of Digital Circuits

graph. This shows results in area power and time minimization of VLSI circuits consisting of millions of gates. described by Leiserson and Saxe is as follows[3]. Given a direct flow graph G = (v,e) whose each vertices represent logic gates or combinational delay elements present in a

1 Adaptive Techniques for Overcoming Performance Degradation

caused by aging by using the power slack that is created as the circuit ages. However, since this power-constrained optimization is not guaranteed to meet the delay specificati ons, technology mapping is used next to resynthesize the circuit to meet tighter timing specifications at birth. Using a new powe r

A Design Methodology for Transient Peak Power Modulation in

such a run-time concurrency tuning scheme. In the following, we present a method to enable run-time delay optimization and satisfy the transient peak power supply constraint. 2.2 The concurrency tuning design flow Data flow graph Transformation methods Scheduling decision graph Dynamic scheduling Run-time schedules Design time Run time This

CMOS Logic Design with Independent-gate FinFETs Anish

age in high-performance and even low-power FinFET circuits will remain a problem. Our results indicate that on an average, 31% of the total active power consump-tion in delay-constrained 32nm FinFET circuits can be attributed to leakage power consumption. All FinFETs in these circuits were driven in the connected-gate con-figuration.

Timing Driven Placement for Quasi Delay-Insensitive Circuits

consuming only leakage power when idle. Unfortunately, despite of these advantages, QDI circuits have remained on the fringe of both academic and industrial design. The oft-stated, and widely accepted, reason for this is the lack of design automation suited to correctly and efficiently handle QDI circuits and their particular timing constraints.

Power Reduction by Simultaneous Voltage Scaling and Gate Sizing

physical size of a gate, at logic level, leads to the gate delay increase which implies the decreased slack time. In this sense, VS and/or GS can be effective for delay-constrained optimization only if the given circuit has significant timing slack available in some or all of its constituent gates. Because of the discrete nature of supply


distortion (R-D) model and the previously proposed delay R-D model to a novel delay power-rate-distortion (d-P-R-D) model by including another two dimensions (the encoding time and encoder power consumption), which quantifies the relationship among source encoding delay, rate, distortion, and power consumption for IPPPP coding mode in H.264/AVC.

Methods for True Power Minimization

for the dynamic power of the design, the optimization needs to select the correct balance here, as well. Furthermore, as the ratio of leakage-to-active power increases, the optimal architecture and circuits also change. From a power budget perspective, leaky gates are expensive since they cost watts when they are inactive.

Power - Performance Optimization for Digital Circuits

This thesis puts into practice the new design paradigm for the power - constrained era: design as a power - performance optimization problem. The new circuit optimization framework provides a systematic methodology for the power - performance optimization of custom digital circuits at circuit and micro architecture levels and is demonstrated on

Delay-Power-Rate-Distortion Optimization of Video

Transactions on Circuits and Systems for Video Technology 2 However, they neglect the cost of encoding delay and power consumption, which nevertheless becomes a key component in delay sensitive applications. From the perspective of the source coding, the impact of delay and power consumption constraints on the rate-distortion behavior is as

Analysis and Optimization of Thermal Issues in High

For digital CMOS circuits there are four sources of power dissipation and the average power dissipation, Pavg, can be expressed as [1], Pavg =Pswitching +Pshort−circuit +Pleakage +Pstatic (1) where P ( 0.5 CV 2 f) switching = α dd is the switching component of power, C is the load capacitance, f is the clock frequency, and α is the


delay. In above threshold circuits, the dual threshold approach was proposed for power optimization with various assignment algorithms under some constraint formulas [11-14]. For example in [12] the researchers attempted to use linear programming (LP) to minimize the power under some constraints on circuit speed, gate slack, delay and cell size.

University of Massachusetts Amherst

University of Massachusetts Amherst [email protected] Amherst Doctoral Dissertations 1896 - February 2014 9-2011 On Co-Optimization Of Constrained Satisfiability Problems For Har


how it is used to achieve constrained optimization. It can be applied on large circuits within a reasonable CPU time, e.g., minimizing the power of a 10000 nodes circuit under some delay constraint in 2 hours. Keywords Gate sizing, discrete constrained optimization, delay/power/area tradeoff I. Introduction


power/performance optimizations across multiple operating con-ditions. The existing delay model for negative bias temperature instability (NBTI) is extended to take into account multiple oper-ating conditions, and incorporated into our OSFA framework. Based on OSFA, we also adjust the supply voltage targeting overall power optimization.

Power Optimization of Delay Constrained Circuits

as an area-delay tradeoff, such as in the work in [9-11]. From a general point of view, reducing either supply voltage or physical size ofa gate, at logic level, leads to a gate delay increase whichimplies decreasedslacktime. Inthis sense, VSandGScan be effective for delay-constrained optimization only if the given circuit has significant timing

A New Algorithm for Simultaneous Gate Sizing and Threshold

for timing-constrained power optimization. For a given cell library, choosing a size and Vt level for a gate is equivalent to selecting a gate type in the library that does the same logic operation. Below is the formulation of the timing optimization problem. Timing Optimization: Given a netlist of combinational logic

Ultra low‑voltage low‑power CMOS 4‑2 and 5‑2 compressors for

performance when constrained by power consumption and computation speed. At the circuit design level, considerable po-tential for optimizing the power-delay product of the multiplier exists by voltage scaling and through the use of contemporary and new CMOS logic styles for the implementation of its embraced combinational circuits [13] [15

inst.eecs.berkeley.edu/~ee241b Announcements EE241B

Power-Performance Optimization EECS241B L18 POWER-PERFORMANCE II 11 Achieve the highest performance under the power cap Delay Unoptimized design Var1 Energy/op Design optimization curves E max D min D max E min Power-Performance Optimization EECS241B L18 POWER-PERFORMANCE II 12 Achieve the highest performance under the power cap Delay

Delay-Power-Rate-Distortion Optimization of Video

for delay, power, and rate constrained adaptive video streaming. Then, by the optimal selection of source coding parameters for each selected representation, we maximize the overall expected user satisfaction, subject not only to the encoding rate constraint, but also to the delay and power constraints at the server.

Techniques for VLSI Circuit Optimization Considering Process

on performance and hence the timing yield of the integrated circuits. The circuit optimization objec-tives namely power, area, and delay are highly correlated and conflicting in nature. The inception of variations in process parameters have made their relationship intricate and more difficult to optimize.

Scaling, Power, and the Future of CMOS

optimization sets the leakage energy to be about 30% of the active power.4 Thus the large rise in leakage current that accompanies new high-performance technology is intentional it is done to reduce the total power the chip dissipates. IV. Low Power Circuits and Architecture This same view on equalizing the marginal delay cost for a

Power - Performance Optimization for Custom Digital Circuits

based' delay optimization techniques under constraints. The average energy per computation is used as a constraint for the delay minimization method. The ideas presented here constitute a modular design optimization framework for custom digital circuits in the power - performance space that:

ILP and Iterative LP Solutions for Peak and Average Power

a power/delay table that contains the average power consumption and the delay time needed for each resource operating on each voltage level, find a p(i, v) power consumed by operationi using voltage levelv. d(i, v) delay (in # of control steps) of operationi using voltage levelv. P j power consumed by all functional units at stepj. P peak

Author's Accepted Manuscript

important design objective, so that the power optimization must not ignore the timing requirements imposed on the circuits. Any power optimization must therefore be timing-constrained. One of the largest contributions to power dissipation in CMOS VLSI processors is incurred by the charging and discharging of the interconnect capacitances [3].

Fuzzified Ant Colony Optimization Algorithm for Efficient

Delay as Optimization Objective The minimum delay (minderay) is estimated as the delay of two-level logic consisting of NAND gates without consid- ering the switching delay. The tgdelnyl is estimated from circuit generated using SIS with de1ay.scripr executed. The membership function for delay as optimization objectives is: 0 5 delay < nindel.,

Design of High-Speed Links: A look at Modern VLSI Design

Power-performance system optimization Complex, many levels of hierarchy and variables V. Stojanović, V.G. Oklobdzija Comparative Analysis of MS Latches and Flip-Flops for High-Performance and Low-Power Systems, IEEE Journal Solid-State Circuits, April 1999. Individual components Flops & latches (power and timing critical) D Q Clk Logic D Q Clk

HA2TSD: Hierarchical Time Slack Distribution for Ultra-Low

assistants (PDAs). Power optimization for those embedded systems and power constrained mobile computing is an active area of research that has received considerable attention in most recent years. Delay, area and power trade-offs for complex systems require the use of advanced algorithms and EDA tools. To achieve excellent power and

Timing-constrained power minimization in VLSI circuits by

Power-delay optimization Constrained optimization abstract Reduction of interconnect delay and interconnect power has become a primary design challenge in recent CMOS technology generations. Spacing between wires can be modified so that line-to-line capacitances will be optimized for minimal power under timing constraints. In this paper, we

Reliability-constrained area optimization of VLSI power

Reliability-Constrained Area Optimization of VLSI Power/Ground Networks Via Sequence of Linear Programmings Sheldon X.-D. Tan, C.-J. Richard Shi, and Jyh-Chwen Lee Abstract This paper presents a new method of sizing the widths of the power and ground routes in integrated circuits so that the chip area

INVITED PAPER DigitalCircuitDesign ChallengesandOpportunities

0 is the target delay constraint. Optimization of this leads to the conclusion that if S i ¼ @[email protected] i @[email protected] i x i¼x 0 (2) thenalloftheS i must bethesameforallparametersinthe optimization; that is, the marginal cost in energy for a change in delay must be the same for all parameters [8] [10], as shown in Fig. 1. Many low-power techniques

Sensitivity Analysis of SOI based FINFETs and Circuit Tuning

a delay constrained optimization problem that minimizes sub-threhsold leakage power subject to a delay budget. The aim of this experiment is to study the spread in delay-power tradeoff for a simple FINFet based circuit as shown in g. Fig. 4. Sensitivity table and to verify our delay and power models by comparing the optimization results with

Compression-Aware Energy Optimization for Video Decoding

1300 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 18, NO. 9, SEPTEMBER 2008 Compression-Aware Energy Optimization for Video Decoding Systems With Passive Power Emrah Akyol and Mihaela van der Schaar Abstract The objective of dynamic voltage scaling (DVS) is to adapt the frequency and voltage for configurable platforms

Energy control and accurate delay estimation in the design of

MINIMUM ENERGY DELAY-CONSTRAINED VARIABLE TAPER DRIVER The problem of finding the best choice for the transistor sizes can be set up as an optimization problem in which we wish to find the set of transistor widths { Wi }, for each stage i of the n stages in the buffer, that result in minimum power consumption, subject to a delay constraint. The

Radio Science Advances in - Copernicus.org

Provided that a suitably modeled DSV library exists, delay-constrained power optimization can be performed following the three-step strategy illustrated in Fig. 2. After reading the original design, delay-constrained logic synthesis is carried out (STEP 1). At this stage, low voltage (VDDL) and level-converting (LC) cells are disabled.


Power dissipation and circuit delay in digital CMOS circuits can be accurately modeled by simple equations, even for complex microprocessor circuits. CMOS circuits have dynamic, static, and short-circuit power dissipation; however, the dominant component in a well designed circuit is dynamic power consumption p (i.e., the switching

Power ΠPerformance Optimization for Custom Digital Circuits

Power Œ Performance Optimization for Custom Digital Circuits 405 are balanced to attempt to save some power, or in case of domino logic to adjust the timing of fast paths. This is a tedious and often lengthy process that relies on the designer™s experience and has no proof of achieving optimality. Furthermore, the

EE241B : Advanced Digital Circuits

Can be reformatted as a goal of optimizing power x delayn n = 0 minimize power per operation n = 1 minimize energy per operation n = 2 minimize energy-delay product n = 3 minimize energy-(delay)2 product EECS241B L18 POWER-PERFORMANCE II 23