Tuning parameters for the fixed kernels
PERI - Auto-tuning Memory Intensive Kernels for Multicore
... 6. Performance Results and Analysis Figure 7(a) shows SpMV(suite median), stencil, and LBMHD performance before and after auto-tuning. We’ve also explicitly shown the benefits of exploiting architecture or ...
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Tuning the Parameters of a Loading Algorithm
... Statistical Inferiority The fact that the parameter configurations show such high robustness over the problem instances intro- duces the idea that reliable conclusions can be drawn about the true average performance of ...
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Tuning parameters in random forests
... The main assumption in (H1) is the additivity nature of the regression model [for details on additive models, see e.g. 18, 27]. Indeed, under (H1), all covariates X (1) , . . . , X (d) are independent and since Y is the ...
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Scheduling and Tuning Kernels for High-performance on Heterogeneous Processor Systems
... Finally, I perform comparative benchmarks of all computing platforms listed in Table 3 using the 1a07 target protein and the dataset of 204 CCDC/Astex ligands. In these simulations, I use the original GeauxDock code and ...
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Automatic code generation and tuning for stencil kernels on modern shared memory architectures
... Matthias Christen · Olaf Schenk · Helmar Burkhart Published online: 6 April 2011 © Springer-Verlag 2011 Abstract In this paper, we present P ATUS , a code gener- ation and auto-tuning framework for stencil ...
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Building and Auto-Tuning Computing Kernels: Experimenting with BOAST and StarPU in the GYSELA Code
... two parameters inlining and unroll have not a single value through all the machines, the auto-tuning process is helpful to extract the best ...the parameters which are not accounted for in the model ...
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Pushing the Limits of Online Auto-tuning: Machine Code Optimization in Short-Running Kernels
... computing kernels in ARM ...short-running kernels, thanks to the low run- time code generation ...the tuning space, and find code variants that are efficient on the running ...The tuning space ...
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Building and Auto-Tuning Computing Kernels: Experimenting with Boast and Starpu in the Gysela Code★
... This paper has studied two complementary auto-tuning approaches to improve the (r, θ) advection of the gysela code in terms of performance and portability of performance. On the one hand, we have evaluated a ...
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Comfort Parameters Tuning For Vehicle Suspension Pitch Motion
... The aim of this project to analyze the comfort parameters for vehicle suspension tuning. This project will be focus on the 4 DOF of half car pitch plane ride model based on the vertical or pitch movement of ...
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An automated system for program parameters fine tuning in the cloud
... fine tuning an algorithm to make it work better in some sense, for example, ...coded parameters inside a program, smart analysis of the program's source code, adjusting parameters inside ...
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Hyper-heuristics for structure and parameters tuning in evolutionary algorithms
... and parameters for sufficient or better ...adaptive parameters, self-tuning (self-adaptation, self-configuration) EAs, have been proposed and ...
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Fine-tuning algorithm parameters using the design of experiments approach
... parameter tuning algorithm, design of experiments, response surface ...underlying parameters are set either arbitrarily without explanation, or conveniently choose parameter values that have been reported ...
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TUNING PARAMETERS OF METAL- SEMICONDUCTOR CONTACT AND THEIR INFLUENCE IN OPTICAL GAIN
... the tuning parameters ‘a’ and ‘b’ of M-S contacts vary with respect to ...two tuning parameters of M-S contacts are co-related with the conductivity of the sample which is indicated in section ...
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Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters
... the tuning parameters are the inverse temperature and saturation value parameters, as will be discussed in ...the tuning parameter set makes a delicate trade between loss of information and ...
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Consistent Selection of Tuning Parameters via Variable Selection Stability
... a tuning parameter selection criterion based on variable selection ...the tuning parameters for any given variable selection ...selected tuning parameter would recover the truly informative ...
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Queue protection parameters' fine-tuning for variable speed limits
... the parameters and thresholds that are involved in the QP algorithm, which can significantly affect the performance of the VSL system, few performance measures are ...
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Optimization of drying parameters for mango seed kernels using central composite design
... process parameters considered for the study were drying temperature and drying ...using fixed temperatures and times according to the central composite design (CCD), in a tropical oven dryer ...seed ...
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COMPARING EVOLUTIONARY ALGORITHMS ON TUNING THE PARAMETERS OF FUZZY WAVELET NEURAL NETWORK
... Abstract– In recent years Fuzzy Wavelet Neural Networks (FWNNs) have been used in many areas. Function approximation is an important application of FWNNs. One of the main problems in effective usage of FWNN is ...
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Model-Based Tuning of Process Parameters for Steady-State Steel Casting
... numerous parameters, such as the cast- ing temperature, casting speed and coolant ...process parameters is difficult since dif- ferent, often conflicting criteria may be applied, the num- ber of possible ...
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Tuning Parameters of Fuzzy Logic Controller using PSO for Maglev System
... Experiments are conducted on a Quanser magnetic levitation system to evaluate the performance of the proposed methodology and the experimental results prove that the proposed control strategy is effective not only in ...
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