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Execution time reduction

Table II contains a rough comparison of execution times for the generation of one data point 6x10 random conformations of chains of 100 mass-points were placed each at 100 equally spaced radial positions of a pore with Aq=0.8. It is obvious that the increase in performance, i.e., a reduction in execution time to 20%, is an excellent return on the investment required to change five lines of a FORTRAN program. We fear, however, that this is a relatively rare situation. Table II contains a rough comparison of execution times for the generation of one data point 6x10 random conformations of chains of 100 mass-points were placed each at 100 equally spaced radial positions of a pore with Aq=0.8. It is obvious that the increase in performance, i.e., a reduction in execution time to 20%, is an excellent return on the investment required to change five lines of a FORTRAN program. We fear, however, that this is a relatively rare situation.
Time Reduction and Increased Efficiencies. Time reduction and the corollary of increased efficiencies appear to be the main factors driving the short-term benefits deriving from implementation of an electronic notebook system. The argument is fairly simple, and there are good data [1] to show that the benefits are real and realistic. Most studies and projects associated with implementation of ELN within a research discipline focus on the reduction in time taken to set up a typical experiment and to document the experiment once completed. Further time savings are evident when examining workflows such as report or patent preparation, or when thinking about time taken to needlessly repeat previously executed experiments. [Pg.219]

Execution time can be significantly reduced without loss of effectiveness by data sample density reduction and corresponding alteration of the smoothing polynomial. Further improvements can be realized by using modern highspeed microcomputers. Constrained deconvolution times of well under one minute for equivalent spectra should be possible with compact and inexpensive equipment. [Pg.151]

A much greater reduction in execution time can be achieved however, as total vectorization occurs by replacing statement (2) with a statement which utilizes the standard ASC vector instruction MIN instead of the IF test. [Pg.76]

Such results show that VAR and BRA combined with PODER can be used in harsh environments and allow designers to reach fast fault diagnosis and correction. When comparing to hardware-based techniques, such as TMR, we can notice an area reduction higher than 66 % and still acceptable fault coverage of 98.3 %. On the other hand, the hardened application takes 2.34 times the original execution time and requires 15 % extra area for the hardware module. [Pg.85]

The elements on the left part are related to the Dynamic Testing phase [8] starting from system Functional Requirements Specifications (FRS), written in natural language, the system dynamic model is manually defined, and the Automatic Test Generation is calibrated on this model. In the ATG phase the Reduction Rules (deriving from the specifications themselves and/or from one s own domain characteristics) are helpful to reduce the number of the tests which have to be executed. The Reduction Rules, indeed, define the input variables which don t affect the output ones therefore, these input variables will be set to default values to test the output ones, saving hence time and costs during the test execution phase [9]. [Pg.140]

As said before, there are two main applications of Fourier transforms the enhancement of signals and the restoration of the deterministic part of a signal. Signal enhancement is an operation for the reduction of the noise leading to an improved signal-to-noise ratio. By signal restoration deformations of the signal introduced by imperfections in the measurement device are corrected. These two operations can be executed in both domains, the time and frequency domain. [Pg.535]

Obviously, the technology exists for obtaining analytical results without special preparation and analysis in a laboratory. However, at the present time there is no acceptable substitute for direct laboratory examination of samples if we want the kind of accuracy and confidence we have come to expect. All conventional methods for analysis of solid materials require one or more of the following preparation activities before an analytical method can be properly executed 1) particle size reduction, 2) homogenization and division, 3) partial dissolution, and 4) total dissolution. Let us briefly discuss each of these individually. [Pg.24]

The second step is data reduction, by spectral range selection or selective binning of redundant data. The algorithms involved herein are optimised to reduce the data that has to be processed to the required minimum without losing relevant information. The proper execution of data reduction directly influences the real-time capabilities of the system. [Pg.165]

Trifluoroacetates of O-methylglycosides possess shorter retention times than acetates, which makes possible a shorter analysis time and properties that even allow the use of more polar stationary phases (5% OV-210). Acylation with TFA anhydride is executed at 150°C for 5 min or at 100°C for 3 h. Under these conditions amino groups, if present, are also acylated to advantage [404]. For improvement of the separation of mono-O-methylglucoses, Anderle and Kovac [407] recommended prior reduction with sodium borohydride into the corresponding glucitols. Trifluoroacetylation of these substances with TFA anhydride in the presence of pyridine is sufficiently rapid (1 h at room temper-... [Pg.167]

Sequential group screening methods can lead to substantial test savings loosely speaking, the more sequential a procedure, in terms of the number of decision points, the greater is the potential for reduction in the expected number of runs required. However, there are settings in which such approaches are operationally impractical, for example, where execution of each run takes substantial time but... [Pg.200]


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Execution time

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