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5th international Workshop on Practical Reproducible Evaluation of Systems, P-RECS 2022, co-located with the 31st international symposium on High-Performance Parallel and Distributed Computing, HPDC 2022

作者： Ahmed, Hana Lofstead, Jay Sandia National Laboratories AlbuquerqueNM United States

ISBN: (纸本)9781450393133

the National Information Standards Organization defines scientific reproducibility as "obtaining consistent results using the same input data, computational steps, methods, and code, and conditions of analysis'' [12] reproducibility. Reproducibility in machine learning (ML) refers to the ability to regenerate an ML model precisely guaranteeing identical accuracy and transparency. While a model may offer reproducible inference, reproducing the model itself is frequently problematic at best due to the presence of pseudo-random numbers as part of the model generation. One way to ensure that models are trustworthy is by managing the random numbers produced during model training. this paper establishes examples of the impact of randomness in model generation and offers a preliminary investigation into how random number generation can be controlled to make ML models more reproducible. © 2022 ACM.

关键词： Random number generation

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Development of a high speed optimization tool for well placement in geological carbon dioxide sequestration 5

Development of a high speed optimization tool for well place...

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5th ISRM Young Scholars' symposium on Rock Mechanics and international symposium on Rock Engineering for Innovative Future, YSRM 2019

作者： Miyagi, Atsuhiro Yamamoto, Hajime Akimoto, Youhei Xue, Ziqiu Geological Carbon Dioxide Storage Technology Research Association Kyoto Japan Taisei Corporation Kanagawa Japan University of Tsukuba Ibaraki Japan Research Institute of Innovative Technology for the Earth Kyoto Japan

ISBN: (纸本)9784907430047

Carbon dioxide Capture and Storage (CCS) is a promising technique for mitigating greenhouse gas emissions by capturing carbon dioxide in flue-gases from fossil-fuel combustion and storing that. Geological Carbon dioxide Sequestration (GCS) injecting the captured CO2 into deep geological reservoirs through injection wells is a part of CCS. In the case of commercial scale GCS, a large amount of CO2 over 100 million tons per year will be injected. Moreover, installing injection well is expensive in cost since the targeted reservoir is often deeper than 1km. Considering the project cost, a smaller number of wells are needed to allocate effectively to satisfy constraints of the project such as the required injection volume of CO2. For searching the optimum placement automatically, we have developed an optimization tool by combining an optimization method (CMA-ES) with a numerical simulation code (TOUGH2). However, this tool needs to be improved because searching the optimum placement with thousands of simulations is computationally demanding. In this study, the tool was improved by leveraging a parallel computing technique and supercomputer. the performance of the tool was demonstrated through a case study of well placement optimization on a heterogeneous reservoir model. As a result, the tool could find a reasonable solution within the realistic time (9 days), which is supposed to be several hundred times faster than the conventional approach. © 2019 Japanese Society for Rock Mechanics

关键词： Carbon dioxide

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Improve the Performance of Mobile Applications Based on code optimization Techniques Using PMD and Android Lint 5th

Improve the Performance of Mobile Applications Based on Code...

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5th international symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM)

作者： Nguyen, Man D. Huynh, thang Q. Nguyen, T. Hung Duy Tan Univ Int Sch Da Nang Vietnam HUST Sch Informat & Commun Technol Hanoi Vietnam

ISBN: (纸本)9783319490465;9783319490458

Analyzing, testing, and optimizing source code are techniques that improve software quality and the performance of features and energy consumption of systems. Source code analysis includes analyzing the source code of an application and checking aspects to detect potential problems based on previous experience. In this paper, we investigate the rules and techniques of analyzing and optimizing Java source code by using PMD and Android lint. An automatic code-analyzing and code refactoring tool is developed with a set of rules based on the Eclipse Refactoring API (plug-in) to getoptimized code that consumes less energy and improves performance for Android applications. the optimized code was tested in real environments with positive results. It reveals that programmer could use these techniques and support tool for developing Android applications with high quality source code and reliable and performance.

关键词： Static testing code analyzing Optimized code code refactoring Android testing PMD Android lint

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Multi-Area Load Frequency Control Using Particle Swarm optimization 5

Multi-Area Load Frequency Control Using Particle Swarm Optim...

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5th IEEE international Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2023

作者： Tan, Min Keng Lim, Wei Han Lim, Kit Guan Kow, Wei Yeang Ng, Min Sian Kin Teo, Kenneth Tze Universiti Malaysia Sabah Modelling Simulation & Computing Laboratory Faculty of Engineering Kota Kinabalu Malaysia

ISBN: (纸本)9798350304152

Load Frequency Control is indeed important in any country that operates an interconnected power grid for regulating system frequency by adjusting the generation to match the load demand. To maintain the power system stability and improve efficiency in scheduling, this paper proposes Two-area Load Frequency Control (LFC) optimization with Particle Swarm optimization. the design process begins with understanding the fundamental concepts, starting from Automotive generation Control in a single-area power system design and progressing to LFC design in a two-area power system. the two-area power system consists of Tie-line Bias Control (TLBC) for maintaining zero tie-line power and Area Control Error (ACE) for stabilizing system frequency. To achieve fitness results in simulations, this paper presents three modeling designs: conventional design, controller design, and controller design with PSO. the controller system with PSO leads an evaluation of 53.4 % time schedule in system frequency performance and an evaluation of 76.9% time schedule in generation power deviation with respect to the conventional model. In addition, the controller system lags an evaluation of 70.0% time schedule in system frequency performance and an evaluation of a 78.7% time schedule in generation power deviation with respect to the conventional model. © 2023 IEEE.

关键词： Controllers

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generation and optimal choice of joint trajectories using all solutions of inverse kinematics of general 6-R robots

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MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES 2016年第1-2期44卷 146-159页

作者： Kuenzer, U. Husty, M. L. Univ Innsbruck Inst Basic Sci Engn Unit Geometry & CAD Technikerstr 13 A-6020 Innsbruck Austria

In this article, an algorithm is presented that transforms a given trajectory of a general 6-R Robot in Cartesian task space (position and orientation) into all possible joint space trajectories. It is shown how all solutions of the inverse kinematics can be used to obtain continuous joint trajectories. Inverse kinematics yields up to 16 different solution paths in joint space and these joint paths are compared using different optimality criteria. To achieve this goal the Cartesian trajectory is discretized and at each instant the inverse kinematics is computed using a fast algorithm developed in Pfurner and Husty et al. In the set of joint angles corresponding to the inverse kinematics solutions coherent paths are determined and interpolated with quintic splines. Different boundary conditions for the construction of the splines are discussed. Using the splines some possibilities for the optimal choice among the paths using different criteria are presented.

关键词： 6-R robots inverse kinematics joint trajectory optimization

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Verification of tritium production evaluation procedure using Monte Carlo code MCNP for in-pile test of fusion blanket with JMTR

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FUSION ENGINEERING AND DESIGN 2000年 51-52卷 829-835页

作者： Nagao, Y Nakamichi, K Tsuchiya, M Ishitsuka, E Kawamura, H JAERI Oarai Res Estab Oarai Ibaraki 3111394 Japan

To evaluate exactly the total amount of tritium production in tritium breeding materials during in-pile test with JMTR, the 'tritium monitor' has been produced and evaluation of total tritium generation was done by using 'tritium monitor' in preliminary in-pile mock-up, and verification of procedure concerning tritium production evaluation was conducted by using Monte Carlo code MCNP and nuclear cross section library of FSXLIBJ3R2. Li-Al alloy (Li 3.4 wt.%, 95.5% enrichment of (6)Li) was selected as tritium monitor material for the evaluation on the total amount of tritium production in high (6)Li enriched materials. From the results of preliminary experiment, calculated amounts of total tritium production at each 'tritium monitor', which was installed in the preliminary in-pile mock-up, were about 50-290% higher than the measured values. Concerning tritium measurement, increase of measurement error in tritium leak form measuring system to measure small amount of tritium (0.2-0.7 mCi in tritium monitor) was found in the results of present experiment. the tendency for overestimation of calculated thermal neutron flux in the range of 1-6 x 10(13) n cm(-2) per s was found in JMTR and the reason may be due to the beryllium cross section data base in JENDL3.2. (C) 2000 Elsevier Science B.V. All rights reserved.

关键词： Li-Al alloy fusion blanket ss

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5th international symposium on Big Data and Applied Statistics, ISBDAS 2022

5th International Symposium on Big Data and Applied Statisti...

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2022 5th international symposium on Big Data and Applied Statistics, ISBDAS 2022

the proceedings contain 37 papers. the topics discussed include: research on graph classification based on improved metric learning;technology strategy for meticulous governance of smart cities: memory bus width aware pruning for efficient image super-resolution implementation in FPGA;research on univariate anomaly diagnosis of gas pipeline measurement data based on random forest algorithm;a new black widow algorithm for discontinuous optimization in cloud task environment;development and application of data mining method for synthetic aperture radar image ship inspection based on big data application technology;key technologies of media big data in-depth analysis system based on 5G platform;research on monitoring data security sharing method for hydropower station operation and maintenance;and research on user granularity-level personalized social text generation technology.

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Helicopter rotor noise optimization 5

Helicopter rotor noise optimization

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5th Asian-Australian Rotorcraft Forum, ARF 2016

作者： Pednekar, Shourav Dhavaleswar Ramaswamy, R. Mohan, Ranjith IIT Madras Chennai India

In this paper, aerodynamic sound generation from an isolated helicopter rotor blade system is investigated with the intention of employing the acoustic prediction mechanism in conjunction with design and optimization schemes. Emphasis is placed on airfoil shape optimization resulting in a helicopter rotor blade system that generates the lowest noise for specified conditions. Ffowcs Williams-Hawkings equation is used to predict aerodynamically generated noise from a helicopter rotor blade system. the design aspect of the work deals with designing a rotor airfoil to reduce the aerodynamic noise produced by helicopter rotor blades. the airfoil shape design methodology requires the integration of three distinct modules - a shape parameterization function, an aeroacoustic solver and a search agent for shape optimization. the geometric shape design module uses the PARSEC parametrization method which characterizes the airfoil geometry as a finite number of parametric control handles. these parameters form inputs to the optimization algorithm, which when coupled with the acoustic prediction code, gives an optimally designed airfoil. the simulated annealing algorithm is used as the search agent. Results of the reduction in the predicted noise levels for three optimization cases are presented. Results are also provided for noise optimization with an aerodynamic constraint. Effects on the acoustic predictions for different blade design parameters such as chord length and tip modifications such as sweep and taper are discussed. Copyright © 2016 by the American Helicopter Society international, Inc. All rights reserved.

关键词： Simulated annealing

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optimization Strategies for WRF Single-Moment 6-Class Microphysics Scheme (WSM6) on Intel Microarchitectures 5

Optimization Strategies for WRF Single-Moment 6-Class Microp...

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5th international symposium on Computing and Networking (CANDAR)

作者： Ouermi, T. A. J. Knoll, Aaron Kirby, Robert M. Berzins, Martin Univ Utah SCI Inst Salt Lake City UT 84112 USA

ISBN: (纸本)9781538620878

optimizations in the petascale era require modifications of existing codes to take advantage of new architectures with large core counts and SIMD vector units. this paper examines high-level and low-level optimization strategies for numerical weather prediction (NWP) codes. these strategies employ thread-local structures of arrays (SOA) and an OpenMP directive such as OMP SIMD. these optimization approaches are applied to the Weather Research Forecasting single-moment 6-class microphysics schemes (WSM6) in the US Navy NEPTUNE system. the results of this study indicate that the high-level approach with SOA and low-level OMP SIMD improves thread and vector parallelism by increasing data and temporal locality. the modified version of WSM6 runs 70x faster than the original serial code. this improvement is about 23.3x faster than the performance achieved by Ouermi et al. [1], and 14.9x faster than the performance achieved by Michalakes et al. [2]

关键词： Structure of arrays OpenMP Knights Landing Numerical Weather Prediction thread parallelism Vector parallelism

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Automatic FIR filter generation for FPGAs

Automatic FIR filter generation for FPGAs

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5th international Workshop on Embedded Computer Systems - Architectures, Modeling, and Simulation

作者： Ruckdeschel, H Dutta, H Hannig, F Teich, J Univ Erlangen Nurnberg Dept Comp Sci Erlangen Germany

ISBN: (纸本)354026969X

this paper presents a new tool for the automatic generation of highly. parallelized Finite Impulse Response (FIR) filters. In this approach we follow our PARO design methodology. PARO is a design system project for modeling, transformation, optimization, and synthesis of massively parallel VLSI architectures. the FIR filter generator employs during the design flow the following advanced transformations, (a) hierarchical partitioning in order to balance the amount of local memory with external communication, and (b), partial localization to achieve higher throughput and smaller latencies. Furthermore, our filter generator allows for design space exploration to tackle trade-offs in cost and speed. Finally, synthesizable VHDL code is generated and mapped to an FPGA, the results are compared with a commercial filter generator.

关键词： FIR filters

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