Dynamic power management (DPM) is a design methodology for dynamically reconfiguring systems to provide the requested services and performance levels with a minimum number of active components or a minimum load on such components. DPM encompasses a set of techniques that achieves energy-efficient computation by selectively turning off (or reducing the performance of) system components when they are idle (or partially unexploited). In this paper, we survey several approaches to system-level dynamic power management. We first describe how systems employ power-manageable components and how the use of dynamic reconfiguration can impact the overall power consumption. We then analyze DPM implementation issues in electronic systems, and we survey recent initiatives in standardizing the hardware/software interface to enable software-controlled power management of hardware components.

A survey of design techniques for system-level dynamic power management : Special section on low-power electronics and design

Dynamic power management (DPM) is a design methodology for dynamically reconfiguring systems to provide the requested services and performance levels with a minimum number of active components or a minimum load on such components DPM encompasses a set of techniques that achieves energy-efficient computation by selectively turning off (or reducing the performance of) system components when they are idle (or partially unexploited) In this paper, we survey several approaches to system-level dynamic power management We first describe how systems employ power-manageable components and how the use of dynamic reconfiguration can impact the overall power consumption We then analyze DPM implementation issues in electronic systems, and we survey recent initiatives in standardizing the hardware/software interface to enable software-controlled power management of hardware components

/pdf/a-survey-of-design-techniques-for-system-level-dynamic-power-g09hpgdity.pdf

A survey of design techniques for system-level dynamic power management

An approach is presented for minimizing power consumption for digital systems implemented in CMOS which involves optimization at all levels of the design. This optimization includes the technology used to implement the digital circuits, the circuit style and topology, the architecture for implementing the circuits and at the highest level the algorithms that are being implemented. The most important technology consideration is the threshold voltage and its control which allows the reduction of supply voltage without significant impact on logic speed. Even further supply reductions can be made by the use of an architecture-based voltage scaling strategy, which uses parallelism and pipelining, to tradeoff silicon area and power reduction. Since energy is only consumed when capacitance is being switched power can be reduced by minimizing this capacitance through operation reduction choice of number representation, exploitation of signal correlations, resynchronization to minimize glitching, logic design, circuit design, and physical design. The low-power techniques that are presented have been applied to the design of a chipset for a portable multimedia terminal that supports pen input, speech I/O and full-motion video. The entire chipset that performs protocol conversion, synchronization, error correction, packetization, buffering, video decompression and D/A conversion operates from a 1.1 V supply and consumes less than 5 mW. >

/pdf/minimizing-power-consumption-in-digital-cmos-circuits-2ibdk90up4.pdf

Minimizing power consumption in digital CMOS circuits

With the advent of portable and high-density microelectronic devices, the power dissipation of very large scale integrated (VLSI) circuits is becoming a critical concern. Accurate and efficient power estimation during the design phase is required in order to meet the power specifications without a costly redesign process. In this paper, we present a review of the power estimation techniques that have recently been proposed. >

A survey of power estimation techniques in VLSI circuits

Low power has emerged as a principal theme in today's electronics industry. The need for low power has caused a major paradigm shift in which power dissipation is as important as performance and area. This article presents an in-depth survey of CAD methodologies and techniques for designing low power digital CMOS circuits and systems and describes the many issues facing designers at architectural, logical, and physical levels of design abstraction. It reviews some of the techniques and tools that have been proposed to overcome these difficulties and outlines the future challenges that must be met to design low power, high performance systems.

/pdf/power-minimization-in-ic-design-principles-and-applications-4l53tahw7t.pdf

Power minimization in IC design: principles and applications

We address the problem of optimizing logic-level sequential circuits for low power We present a powerful sequential logic optimization method that is based on selectively precomputing the output logic values of the circuit one clock cycle before they are required, and using the precomputed values to reduce internal switching activity in the succeeding clock cycle We present two different precomputation architectures which exploit this observation The primary optimization step is the synthesis of the precomputation logic, which computes the output values for a subset of input conditions If the output values can be precomputed, the original logic circuit can be "turned off" in the next clock cycle and will have substantially reduced switching activity The size of the precomputation logic determines the power dissipation reduction, area increase and delay increase relative to the original circuit Given a logic-level sequential circuit, we present an automatic method of synthesizing precomputation logic so as to achieve maximal reductions in power dissipation We present experimental results on various sequential circuits Up to 75% reductions in average switching activity and power dissipation are possible with marginal increases in circuit area and delay >

/pdf/precomputation-based-sequential-logic-optimization-for-low-2xpd61n40c.pdf

Precomputation-based sequential logic optimization for low power

Switching activity is the primary cause of power dissipation in CMOS combinational and sequential circuits. We give a method of estimating power in pipelined sequential CMOS circuits that accurately models the correlation between the vectors applied to the combinational logic of the circuit. We explore the implications of the observation that the switching activity at flip-flop outputs in a synchronous sequential circuit can be significantly less than the activity at the flip-flop inputs. We present a retiming method that targets the power dissipation of a sequential circuit.

Retiming sequential circuits for low power

Recently developed methods for power estimation have primarily focused on combinational logic. We present a framework for the efficient and accurate estimation of average power dissipation in sequential circuits. Switching activity is the primary cause of power dissipation in CMOS circuits. Accurate switching activity estimation for sequential circuits is considerably more difficult than that for combinational circuits, because the probability of the circuit being in each of its possible states has to be calculated. The Chapman-Kolmogorov equations can be used to compute the exact state probabilities in steady state. However, this method requires the solution of a linear system of equations of size 2/sup N/ where N is the number of flip-flops in the machine. We describe a comprehensive framework for exact and approximate switching activity estimation in a sequential circuit. The basic computation step is the solution of a nonlinear system of equations which is derived directly from a logic realization of the sequential machine. Increasing the number of variables or the number of equations in the system results in increased accuracy. For a wide variety of examples, we show that the approximation scheme is within 1-3% of the exact method, but is orders of magnitude faster for large circuits. Previous sequential switching activity estimation methods can have significantly greater inaccuracies. >

Power estimation methods for sequential logic circuits

The main contribution of this paper is an exact common subexpression elimination algorithm for the optimum sharing of partial terms in multiple constant multiplications (MCMs). We model this problem as a Boolean network that covers all possible partial terms that may be used to generate the set of coefficients in the MCM instance. We cast this problem into a 0-1 integer linear programming (ILP) by requiring that the single output of this network is asserted while minimizing the number of gates representing operations in the MCM implementation that evaluate to one. A satisfiability (SAT)-based 0-1 ILP solver is used to obtain the exact solution. We argue that for many real problems, the size of the problem is within the capabilities of current SAT solvers. Because performance is often a primary design parameter, we describe how this algorithm can be modified to target the minimum area solution under a user-specified delay constraint. Additionally, we propose an approximate algorithm based on the exact approach with extremely competitive results. We have applied these algorithms on the design of digital filters and present a comprehensive set of results that evaluate ours and existing approximation schemes against exact solutions under different number representations and using different SAT solvers.

/pdf/exact-and-approximate-algorithms-for-the-optimization-of-2oj2pcxf43.pdf

Exact and Approximate Algorithms for the Optimization of Area and Delay in Multiple Constant Multiplications

"Shut-down" techniques are effective in reducing the power dissipation of logic circuits. Recently, methods have been developed that identify conditions under which the output of a module in a logic circuit is not used for a given clock cycle. When these conditions are met, input latches for that module are disabled, thus eliminating any switching activity and power dissipation. In this paper, we introduce these power management techniques in behavioral synthesis. We present a scheduling algorithm which maximizes the "shut-down" period of execution units in a system. Given a throughput constraint and the number of execution units available, the algorithm first schedules operations that generate controlling signals and activates only those modules whose result is eventually used. We present results which show that this scheduling technique can save up to 40% in power dissipation.

/pdf/scheduling-techniques-to-enable-power-management-2r91mqvh1i.pdf

José Monteiro

Papers

Precomputation-based sequential logic optimization for low power

Retiming sequential circuits for low power

Power estimation methods for sequential logic circuits

Exact and Approximate Algorithms for the Optimization of Area and Delay in Multiple Constant Multiplications

Scheduling techniques to enable power management