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Time Varying Behavior of Programs
, 1999
"... Modern architecture research relies heavily on detailed pipeline simulation. Furthermore, programs often times exhibit interesting and important time varying behavior on an extremely large scale. Very little analysis has been conducted to classify the time varying behavior of popular benchmarks usin ..."
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Cited by 76 (11 self)
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Modern architecture research relies heavily on detailed pipeline simulation. Furthermore, programs often times exhibit interesting and important time varying behavior on an extremely large scale. Very little analysis has been conducted to classify the time varying behavior of popular benchmarks
On a Class of TimeVarying Behaviors
"... We study a class of timevarying systems that we encounter when we look into decomposition of behaviors. This class is the set of behaviors that are themselves of polynomials in time, with coe#cients as timeinvariant behaviors. Operators that have such behaviors as their kernels are studied. It tur ..."
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We study a class of timevarying systems that we encounter when we look into decomposition of behaviors. This class is the set of behaviors that are themselves of polynomials in time, with coe#cients as timeinvariant behaviors. Operators that have such behaviors as their kernels are studied
The TimeVarying Behavior Of Real Interest Rates:
"... Several recent studies have documented structural shifts in the stochastic process of the ex post (or realized) real interest rate (see for example Huizinga and Mishkin (1986) (HM hereafter), Antoncic (1986), Garcia and Perron (1994) (GP hereafter), and Evans and Lewis (1995)). Given its central rol ..."
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Cited by 2 (0 self)
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role in economics, the changing behavior of real interest rates over the past three decades has attracted a good deal of attention in the economics literature, especially in relation to recent monetary and fiscal policy regime changes.
TimeVarying Behavior Of The Parcor Coefficients Of Lattice Filters With Nonstationary Ar Inputs
"... This paper describes the behavior of the partial correlation coefficients of lattice filters based on the recursive least squares (RLS) algorithm in the presence of a nonstationary input. The input is an autoregressive process and the coefficients of the generating filter are allowed to change with ..."
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with time, leading to a time varying autocorrelation function at the input. For such an input the optimal WienerHopf coefficients of a lattice filter are found. These are then compared with the expected PARCOR coefficients of the recursive least squares lattice filter which are a function of the weighting
Modeling the Time Varying Behavior of Mobile AdHoc Networks
"... In this paper we develop a performance modeling technique for analyzing the time varying performance of mobile ad hoc networks. Our approach is a novel hybrid of discrete event simulation and numerical method based queueing analysis. Network queues are modeled using fluidflow based differential equ ..."
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In this paper we develop a performance modeling technique for analyzing the time varying performance of mobile ad hoc networks. Our approach is a novel hybrid of discrete event simulation and numerical method based queueing analysis. Network queues are modeled using fluidflow based differential
Automatically characterizing large scale program behavior
, 2002
"... Understanding program behavior is at the foundation of computer architecture and program optimization. Many programs have wildly different behavior on even the very largest of scales (over the complete execution of the program). This realization has ramifications for many architectural and compile ..."
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Cited by 777 (41 self)
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piler techniques, from thread scheduling, to feedback directed optimizations, to the way programs are simulated. However, in order to take advantage of timevarying behavior, we.must first develop the analytical tools necessary to automatically and efficiently analyze program behavior over large sections
Timevarying NAIRU and its implications for Economic Policy
 NBER WORKING PAPER
, 1996
"... This paper estimates the NAIRU (standing for the nonaccelerating Inflation Rate of unemployment) as a parameter that varies over time. The NAIRU is the unemployment rate that is consistent with a constant rate of inflation. Its value is determined in an econometric model in which the inflation rate ..."
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Cited by 320 (4 self)
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This paper estimates the NAIRU (standing for the nonaccelerating Inflation Rate of unemployment) as a parameter that varies over time. The NAIRU is the unemployment rate that is consistent with a constant rate of inflation. Its value is determined in an econometric model in which the inflation
Randomized Algorithms
, 1995
"... Randomized algorithms, once viewed as a tool in computational number theory, have by now found widespread application. Growth has been fueled by the two major benefits of randomization: simplicity and speed. For many applications a randomized algorithm is the fastest algorithm available, or the simp ..."
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Cited by 2194 (36 self)
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, or the simplest, or both. A randomized algorithm is an algorithm that uses random numbers to influence the choices it makes in the course of its computation. Thus its behavior (typically quantified as running time or quality of output) varies from
On the correction of linear timevarying systems by means of timevarying FIR filters
 in Proc. 54th Midwest Symp. Circuits and Systems, MWSCAS
, 2011
"... Abstract — In this paper, methods for the design of timevarying finite impulse response (FIR) filters which facilitate the correction of timevarying systems are presented. The two possible cases where an undesired timevarying system requires either preprocessing or postprocessing are considered. ..."
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Cited by 1 (1 self)
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. In particular, we show how the methods from [1], [2] can be used for the precorrection of timevarying systems. Though, these presented methods allow for the correction of systems exhibiting periodically recurring timevarying behavior, these techniques can also be applied to the nonperiodic case. A mixed
Phase Complexity Surfaces: Characterizing TimeVarying Program Behavior
 in High Performance Embedded Architectures and Compilers. 2008, Springer Berlin
"... It is well known that a program execution exhibits timevarying behavior, i.e., a program typically goes through a number of phases during its execution with each phase exhibiting relatively homogeneous behavior within a phase and distinct behavior across phases. In fact, several recent research stu ..."
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Cited by 2 (0 self)
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It is well known that a program execution exhibits timevarying behavior, i.e., a program typically goes through a number of phases during its execution with each phase exhibiting relatively homogeneous behavior within a phase and distinct behavior across phases. In fact, several recent research
Results 1  10
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