Relevant bibliographies by topics / Mapping optimisation

Academic literature on the topic 'Mapping optimisation'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Mapping optimisation"

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Pastellides, Stavros, Stiaan Gerber, Rong-Jie Wang, and Maarten Kamper. "Evaluation of Drive Cycle-Based Traction Motor Design Strategies Using Gradient Optimisation." Energies 15, no. 3 (February 1, 2022): 1095. http://dx.doi.org/10.3390/en15031095.

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In this paper, two design optimisation methods are evaluated using gradient-based optimisation for electric vehicle traction applications. A driving cycle-based approach is used to evaluate specific operational points for the design optimisation procedure. To determine the operational points, an energy centre of gravity (ECG) approach is used. Both optimisation methods are described, namely the point based method and the flux mapping method, with a focus on the flux mapping procedure. Within the flux mapping approach, an inner optimisation loop is defined in order to maintain the stability of gradient calculation for the gradient-based optimisation. An emphasis is placed on the importance of how the optimisation problem is defined, in terms of the objective function and constraints, and how it affects a gradient based optimisation. Based on a design case study conducted in the paper, it is found that the point-based strategy realised motor designs with a slightly lower overall cost (5.66% lower than that of the flux mapping strategy with 8 ECG points), whereas the flux mapping strategy found motor designs with a lower input energy (1.48% lower than that of the point-based strategy with 8 ECG points). This may be attributed to the difference in the definition and interpretation of constraints between these two methods. It is also shown that including more operational points from the driving cycle in the design optimisation leads to designs with reduced total input energy and thus better drive-cycle energy efficiency. This paper further illustrates the significant computational advantages of a gradient-based optimisation over a global optimisation method as it can be completed within a fraction of the time while still finding a global optimum, as long as the problem definition is correctly determined.
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Pereira, Helder, Tom A. Jackson, Simon Claridge, Jonathan M. Behar, Cheng Yao, Benjamin Sieniewicz, Justin Gould, et al. "Comparison of Echocardiographic and Electrocardiographic Mapping for Cardiac Resynchronisation Therapy Optimisation." Cardiology Research and Practice 2019 (February 21, 2019): 1–9. http://dx.doi.org/10.1155/2019/4351693.

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Study hypothesis. We sought to investigate the association between echocardiographic optimisation and ventricular activation time in cardiac resynchronisation therapy (CRT) patients, obtained through the use of electrocardiographic mapping (ECM). We hypothesised that echocardiographic optimisation of the pacing delay between the atrial and ventricular leads—atrioventricular delay (AVD)—and the delay between ventricular leads—interventricular pacing interval (VVD)—would correlate with reductions in ventricular activation time. Background. Optimisation of AVD and VVD may improve CRT patient outcome. Optimal delays are currently set based on echocardiographic indices; however, acute studies have found that reductions in bulk ventricular activation time correlate with improvements in acute haemodynamic performance. Materials and methods. Twenty-one patients with established CRT criteria were recruited. After implantation, patients underwent echo-guided optimisation of the AVD and VVD. During this procedure, the participants also underwent noninvasive ECM. ECM maps were constructed for each AVD and VVD. ECM maps were analysed offline. Total ventricular activation time (TVaT) and a ventricular activation time index (VaT10-90) were calculated to identify the optimal AVD and VVD timings that gave the minimal TVaT and VaT10-90 values. We correlated cardiac output with these electrical timings. Results. Echocardiographic programming optimisation was not associated with the greatest reductions in biventricular activation time (VaT10-90 and TVaT). Instead, bulk activation times were reduced by a further 20% when optimised with ECM. A significant inverse correlation was identified between reductions in bulk ventricular activation time and improvements in LVOT VTI (p<0.001), suggesting that improved ventricular haemodynamics are a sequelae of more rapid ventricular activation. Conclusions. EAM-guided programming optimisation may achieve superior fusion of activation wave fronts leading to improvements in CRT response.
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Lu, A., G. Stenz, H. Eisenmann, and F. M. Johannes. "Technology mapping for simultaneous gate and interconnect optimisation." IEE Proceedings - Computers and Digital Techniques 146, no. 1 (1999): 21. http://dx.doi.org/10.1049/ip-cdt:19990245.

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Echeverría, D., D. Lahaye, L. Encica, and P. W. Hemker. "Optimisation in electromagnetics with the space‐mapping technique." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 24, no. 3 (September 2005): 952–66. http://dx.doi.org/10.1108/03321640510598265.

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Lei, Xu, Bin Feng, Guiping Wang, Weiyu Liu, and Yalin Yang. "A Novel FastSLAM Framework Based on 2D Lidar for Autonomous Mobile Robot." Electronics 9, no. 4 (April 24, 2020): 695. http://dx.doi.org/10.3390/electronics9040695.

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The autonomous navigation and environment exploration of mobile robots are carried out on the premise of the ability of environment sensing. Simultaneous localisation and mapping (SLAM) is the key algorithm in perceiving and mapping an environment in real time. FastSLAM has played an increasingly significant role in the SLAM problem. In order to enhance the performance of FastSLAM, a novel framework called IFastSLAM is proposed, based on particle swarm optimisation (PSO). In this framework, an adaptive resampling strategy is proposed that uses the genetic algorithm to increase the diversity of particles, and the principles of fractional differential theory and chaotic optimisation are combined into the algorithm to improve the conventional PSO approach. We observe that the fractional differential approach speeds up the iteration of the algorithm and chaotic optimisation prevents premature convergence. A new idea of a virtual particle is put forward as the global optimisation target for the improved PSO scheme. This approach is more accurate in terms of determining the optimisation target based on the geometric position of the particle, compared to an approach based on the maximum weight value of the particle. The proposed IFastSLAM method is compared with conventional FastSLAM, PSO-FastSLAM, and an adaptive generic FastSLAM algorithm (AGA-FastSLAM). The superiority of IFastSLAM is verified by simulations, experiments with a real-world dataset, and field experiments.
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Langlais, C., and M. Hélard. "Mapping optimisation for turbo-equalisation improved by iterative demapping." Electronics Letters 38, no. 22 (2002): 1365. http://dx.doi.org/10.1049/el:20020886.

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Panesar, Ajit, David Brackett, Ian Ashcroft, Ricky Wildman, and Richard Hague. "Hierarchical remeshing strategies with mesh mapping for topology optimisation." International Journal for Numerical Methods in Engineering 111, no. 7 (February 7, 2017): 676–700. http://dx.doi.org/10.1002/nme.5488.

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Miao, Yu, Alan Hunter, and Ioannis Georgilas. "Parameter Reduction and Optimisation for Point Cloud and Occupancy Mapping Algorithms." Sensors 21, no. 21 (October 22, 2021): 7004. http://dx.doi.org/10.3390/s21217004.

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Occupancy mapping is widely used to generate volumetric 3D environment models from point clouds, informing a robotic platform which parts of the environment are free and which are not. The selection of the parameters that govern the point cloud generation algorithms and mapping algorithms affects the process and the quality of the final map. Although previous studies have been reported in the literature on optimising major parameter configurations, research in the process to identify optimal parameter sets to achieve best occupancy mapping performance remains limited. The current work aims to fill this gap with a two-step principled methodology that first identifies the most significant parameters by conducting Neighbourhood Component Analysis on all parameters and then optimise those using grid search with the area under the Receiver Operating Characteristic curve. This study is conducted on 20 data sets with specially designed targets, providing precise ground truths for evaluation purposes. The methodology is tested on OctoMap with point clouds created by applying StereoSGBM on the images from a stereo camera. A clear indication can be seen that mapping parameters are more important than point cloud generation parameters. Moreover, up to 15% improvement in mapping performance can be achieved over default parameters.
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Glover, B. M. "Locally compactly Lipschitzian mappings in infinite dimensional programming." Bulletin of the Australian Mathematical Society 47, no. 3 (June 1993): 395–406. http://dx.doi.org/10.1017/s0004972700015227.

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In this note we show that a subgradient multifunction of a locally compactly Lip-schitzian mapping satisfies a closure condition used extensively in optimisation theory. In addition we derive a chain rule applicable in either separable or reflexive Banach spaces for the class of locally compactly Lipschitzian mappings using a recently derived generalised Jacobian. We apply these results to the derivation of Karush-Kuhn-Tucker and Fritz John optimality conditions for general abstract cone-constrained programming problems. A discussion of constraint qualifications is undertaken in this setting.
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Li, Taiyong, and Yihong Xu. "The Strictly Efficient Subgradient of Set-Valued Optimisation." Bulletin of the Australian Mathematical Society 75, no. 3 (June 2007): 361–71. http://dx.doi.org/10.1017/s0004972700039290.

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The subgradient, under strict efficiency, of a set-valued mapping is developed, and the existence of the subgradient is proved. Optimality conditions in terms of Lagrange multipliers for a strictly efficient point are established in the general case and in the case with ic-cone-convexlike data.
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Dissertations / Theses on the topic "Mapping optimisation"

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Kim, Dae Gyu. "Mapping based constraint handling methods for evolutionary algorithms." Thesis, University of Sussex, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311406.

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Kianifar, Mohammed R. "Application of multidisciplinary design optimisation frameworks for engine mapping and calibration." Thesis, University of Bradford, 2014. http://hdl.handle.net/10454/14843.

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With ever-increasing numbers of engine actuators to calibrate within increasingly stringent emissions legislation, the engine mapping and calibration task of identifying optimal actuator settings is much more difficult. The aim of this research is to evaluate the feasibility and effectiveness of the Multidisciplinary Design Optimisation (MDO) frameworks to optimise the multi-attribute steady state engine calibration optimisation problems. Accordingly, this research is concentrated on two aspects of the steady state engine calibration optimisation: 1) development of a sequential Design of Experiment (DoE) strategy to enhance the steady state engine mapping process, and 2) application of different MDO architectures to optimally calibrate the complex engine applications. The validation of this research is based on two case studies, the mapping and calibration optimisation of a JLR AJ133 Jaguar GDI engine; and calibration optimisation of an EU6 Jaguar passenger car diesel engine. These case studies illustrated that: -The proposed sequential DoE strategy offers a coherent framework for the engine mapping process including Screening, Model Building, and Model Validation sequences. Applying the DoE strategy for the GDI engine case study, the number of required engine test points was reduced by 30 – 50 %. - The MDO optimisation frameworks offer an effective approach for the steady state engine calibration, delivering a considerable fuel economy benefits. For instance, the MDO/ATC calibration solution reduced the fuel consumption over NEDC drive cycle for the GDI engine case study (i.e. with single injection strategy) by 7.11%, and for the diesel engine case study by 2.5%, compared to the benchmark solutions.
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Skoglund, Martin. "Inertial Navigation and Mapping for Autonomous Vehicles." Doctoral thesis, Linköpings universitet, Reglerteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-110373.

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Navigation and mapping in unknown environments is an important building block for increased autonomy of unmanned vehicles, since external positioning systems can be susceptible to interference or simply being inaccessible. Navigation and mapping require signal processing of vehicle sensor data to estimate motion relative to the surrounding environment and to simultaneously estimate various properties of the surrounding environment. Physical models of sensors, vehicle motion and external influences are used in conjunction with statistically motivated methods to solve these problems. This thesis mainly addresses three navigation and mapping problems which are described below. We study how a vessel with known magnetic signature and a sensor network with magnetometers can be used to determine the sensor positions and simultaneously determine the vessel's route in an extended Kalman filter (EKF). This is a so-called simultaneous localisation and mapping (SLAM) problem with a reversed measurement relationship. Previously determined hydrodynamic models for a remotely operated vehicle (ROV) are used together with the vessel's sensors to improve the navigation performance using an EKF. Data from sea trials is used to evaluate the system and the results show that especially the linear velocity relative to the water can be accurately determined. The third problem addressed is SLAM with inertial sensors, accelerometers and gyroscopes, and an optical camera contained in a single sensor unit. This problem spans over three publications. We study how a SLAM estimate, consisting of a point cloud map, the sensor unit's three dimensional trajectory and speed as well as its orientation, can be improved by solving a nonlinear least-squares (NLS) problem. NLS minimisation of the predicted motion error and the predicted point cloud coordinates given all camera measurements is initialised using EKF-SLAM. We show how NLS-SLAM can be initialised as a sequence of almost uncoupled problems with simple and often linear solutions. It also scales much better to larger data sets than EKF-SLAM. The results obtained using NLS-SLAM are significantly better using the proposed initialisation method than if started from arbitrary points. A SLAM formulation using the expectation maximisation (EM) algorithm is proposed. EM splits the original problem into two simpler problems and solves them iteratively. Here the platform motion is one problem and the landmark map is the other. The first problem is solved using an extended Rauch-Tung-Striebel smoother while the second problem is solved with a quasi-Newton method. The results using EM-SLAM are better than NLS-SLAM both in terms of accuracy and complexity.
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Rountree, Lindsay. "Optimisation of perimetric stimuli for mapping changes in spatial summation in glaucoma." Thesis, Cardiff University, 2018. http://orca.cf.ac.uk/111180/.

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Despite being considered the current reference standard for perimetric testing in glaucoma, standard automated perimetry has several cardinal limitations, including an unacceptably high test-retest variability, which increases with increasing depth of defect, and a limited useable dynamic range, with test-retest variability spanning almost the entire instrument range in advanced glaucomatous damage. Prior studies have shown that spatial summation, the mechanism by which the visual system integrates light energy across the area of a stimulus, differs in disease, with an enlarged Ricco’s area (the limit of complete spatial summation) found in individuals with glaucoma. The aim of this work was to investigate whether a perimetric stimulus designed to exploit these changes in spatial summation would enable a greater signal/noise ratio (SNR) than that of the current standard stimulus, by directly measuring the displacement of the spatial summation function in glaucoma. Three stimulus forms were developed; one varying in area alone, one varying in both area and contrast simultaneously, and one varying in contrast alone, all operating within the local Ricco’s area. These novel stimuli were compared with the standard Goldmann III stimulus, in terms of disease signal, noise, and SNR. The experiments presented in this thesis indicate that a stimulus modulating in area alone may offer greater benefits for measuring glaucomatous changes in spatial summation in a clinical setting, in the form of a greater disease signal, more uniform response variability with depth of defect, and greater SNR, when compared with the standard Goldmann III stimulus. Additionally, there is some indication that this stimulus is more robust to the effects of intraocular straylight than the Goldmann III stimulus, although test-retest variability and robustness to optical defocus are largely similar. As this work represents the early investigations of this stimulus, further work is required to examine its translation into a clinical environment.
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Little, Collin. "Sono degradation of phenanthrene : mapping & optimisation of reactor conditions using sono-chemi-luminescence." Thesis, Glasgow Caledonian University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.688256.

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Akinyemi, Segun Ajayi. "Optimisation of selective extraction techniques as a tool for geochemical mapping in the Southern Africa region." Thesis, University of the Western Cape, 2008. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_3444_1260521237.

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The complex nature and composition of regolith cover in Southern Africa is a major challenge to geochemical mapping for concealed mineralization. Some of the setbacks to successful geochemical exploration may be ascribed to the use of various partial extraction techniques,without a profound understanding of the regolith components and their composition. This investigation therefore focuses on the use of hydroxylamine partial extraction geochemistry for geochemical mapping in regolith over two contrasting environments viz
aeolian sand-calcrete regolith over Au mineralization at Amalia Blue Dot Mine in South Africa and lateritic regolith covering the Ni-Cu deposit at Kabanga Main and Luhuma in Tanzania. Regolith samples from the above areas were sieved and extracted with hydroxylamine hydrochloride solution and analyzed for multi-element by AAS and ICP-MS techniques. A stepwise optimization of the hydroxylamine extraction technique of samples from both areas was carried out and incorporated into the analytical programme (in a pilot study). Results of hydroxylamine partial extraction generally gave better anomaly contrast and reflection of bedrock mineralization than the conventional aqua regia techniques that were previously used in the region. The results however show that lateritic regolith may be best extracted using 0.25M hydroxylamine while 0.1M concentration appears most suitable for extraction of aeolian-calcrete regolith. The above results are corroborated by principal component analysis of the analytical data that show various element associations, e.g. with Fe-Mn oxides while others possibly belong to the loosely adsorbed or exchangeable group. The 
gochemical maps in the pilot study areas at Amalia, Kabanga and Luhuma show elevated element contents or clusters of anomalies of diverse elements associated with Fe-Mn oxides. Geochemical mapping at Kabanga with deeply concealed mineralization however shows variability of subdued element patterns over mineralized areas. Geochemical signatures associated with hydroxylamine hydrochloride partial leach are therefore characterized by a lower geochemical background than that using conventional aqua regia leach. This study leads recommending for further investigations into partial extraction of the exchangeable group of elements, possibly using ammonium acetate.

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Führ, Gereon [Verfasser], Rainer [Akademischer Betreuer] Leupers, and Tobias [Akademischer Betreuer] Gemmeke. "MPSoC power-performance trade-off : strategies for SW mapping optimisation / Gereon Führ ; Rainer Leupers, Tobias Gemmeke." Aachen : Universitätsbibliothek der RWTH Aachen, 2021. http://d-nb.info/123314426X/34.

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Zaharia, Mihai Valentin. "Contributions à l’étude des machines à reluctance variable pour application alterno-démarreur automobile." Thesis, Ecole centrale de Lille, 2016. http://www.theses.fr/2016ECLI0022/document.

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Ce travail de recherche est réalisé dans le cadre d'une collaboration internationale entre l'Université Technique de Cluj-Napoca en Roumanie et l'Ecole Centrale de Lille en France. Cette thèse a comme premier objectif, de réduire l’ondulation de couple d’une machine triphasée 6/8 à réluctance variable grâce aux paramètres de contrôle dans le mode de fonctionnement moteur et générateur. Par conséquent, un modèle analytique a été développé et mis en œuvre dans un environnement de calcul numérique. Un outil d'optimisation permettant de trouver les meilleurs paramètres de contrôle a été utilisé. Toutefois, le processus d’optimisation est très lent.En conséquence, une stratégie pour réduire le temps du processus d'optimisation sans abaisser la précision des résultats est proposée. Une stratégie de ‘mapping’ est utilisée entre un modèle grossier mais rapide et un modèle fin mais lent. Un travail est mené sur le choix du modèle grossier, dans le cadre d’un modèle fournissant des valeurs en fonction du temps. Deux stratégies de ‘mapping’ ont été utilisées dans cette thèse : l’‘Output Space Mapping Proportional’(OSMP) et le Manifold Mapping (MM). Ces deux stratégies sont utilisées pour déterminer les paramètres de contrôle optimaux. Le problème d’optimisation est ensuite complété en ajoutant des variables géométriques au processus d’optimisation du contrôle. Les outils développés sont ensuite utilisés dans le cadre du dimensionnement par optimisation d’un alterno-démarreur automobile. Finalement, des expériences et des essais sur un prototype de Machine à RV sont menés afin de valider les résultats du processus d'optimisation en mode moteur et générateur
The switched reluctance machine has a simple construction making it cheaper in execution but one of the drawbacks of this machine is the torque ripple. This thesis had as first target, the usage of an optimization tool to calculate the best control parameters to correct this major drawback in motor and generator operation modes. Hence, an analytical model that takes into account the machine geometry and that is able to be simulated in both operation modes by adjusting the commutation angles was provided and implemented in a calculation environment. The second target of this work is to investigate a method to reduce the optimization time without lowering the accuracy of the results. The strategy used in the optimization process is known in literature as the space mapping technique, more precisely for this thesis output space mapping proportional and manifold mapping were studied. After testing them on a mathematical model it was possible to continue the investigation on defining the optimal control parameters of a three-phases 6/8 SR machine prototype, being able that further to use this strategy in a much complicated process, i.e. defining the right geometry and control of a SR machine to be used in automotive integrated starter alternator systems. The final target of the thesis was to conduct experiments and tests on the existing prototype in order to partially validate the results of the optimization process
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Nhan, Nhat-Quang. "Optimisation de précodeurs linéaires pour les systèmes MIMO à récepteurs itératifs." Thesis, Brest, 2016. http://www.theses.fr/2016BRES0062/document.

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Les standards « Long-term evolution » (LTE) et LTE-Advanced (LTE-A) devraient influencer fortement l’avenir de la cinquième génération (5G) des réseaux mobiles. Ces normes exigent de hauts débits de données et une qualité de service de très bon niveau, ce qui permet d’assurer un faible taux d’erreur, avec une faible latence. Par ailleurs, la complexité doit être limitée. Dans le but de déterminer des solutions technologiques modernes qui satisfont ces contraintes fortes, nous étudions dans la thèse des systèmes de communication sans fil MIMO codés. D’abord, nous imposons un simple code convolutif récursif systématique (RSC) pour limiter la complexité et la latence. En considérant des récepteurs itératifs, nous optimisons alors la performance en termes de taux d’erreur de ces systèmes en définissant un précodage linéaire MIMO et des techniques de mapping appropriées. Dans la deuxième partie de la thèse, nous remplaçons le RSC par un LDPC non-binaire (NB-LDPC). Nous proposons d’utiliser les techniques de précodage MIMO afin de réduire la complexité des récepteurs des systèmes MIMO intégrant des codes NB-LDPC. Enfin, nous proposons également un nouvel algorithme de décodage itératif à faible complexité adapté aux codes NB-LDPC
The long-term evolution (LTE) and the LTE-Advanced (LTE-A) standardizations are predicted to play essential roles in the future fifth-generation (5G) mobile networks. These standardizations require high data rate and high quality of service, which assures low error-rate and low latency. Besides, as discussed in the recent surveys, low complexity communication systems are also essential in the next 5G mobile networks. To adapt to the modern trend of technology, in this PhD thesis, we investigate the multiple-input multiple-output (MIMO) wireless communication schemes. In the first part of this thesis, low-complex forward error correction (FEC) codes are used for low complexity and latency. By considering iterative receivers at the receiver side, we exploit MIMO linear precoding and mapping methods to optimize the error-rate performance of these systems. In the second part of this thesis, non-binary low density parity check (NB-LDPC) codes are investigated. We propose to use MIMO precoders to reduce the complexity for NB-LDPC encoded MIMO systems. A novel low complexity decoding algorithm for NB-LDPC codes is also proposed at the end of this thesis
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Hassani, Bijarbooneh Farshid. "Constraint Programming for Wireless Sensor Networks." Doctoral thesis, Uppsala universitet, Avdelningen för datalogi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-241378.

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In recent years, wireless sensor networks (WSNs) have grown rapidly and have had a substantial impact in many applications. A WSN is a network that consists of interconnected autonomous nodes that monitor physical and environmental conditions, such as temperature, humidity, pollution, etc. If required, nodes in a WSN can perform actions to affect the environment. WSNs present an interesting and challenging field of research due to the distributed nature of the network and the limited resources of the nodes. It is necessary for a node in a WSN to be small to enable easy deployment in an environment and consume as little energy as possible to prolong its battery lifetime. There are many challenges in WSNs, such as programming a large number of nodes, designing communication protocols, achieving energy efficiency, respecting limited bandwidth, and operating with limited memory. WSNs are further constrained due to the deployment of the nodes in indoor and outdoor environments and obstacles in the environment. In this dissertation, we study some of the fundamental optimisation problems related to the programming, coverage, mobility, data collection, and data loss of WSNs, modelled as standalone optimisation problems or as optimisation problems integrated with protocol design. Our proposed solution methods come from various fields of research including constraint programming, integer linear programming, heuristic-based algorithms, and data inference techniques.
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Book chapters on the topic "Mapping optimisation"

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Lin, Xiaochun, Erik Dagless, and Aiguo Lu. "Technology mapping of LUT based FPGAs for delay optimisation." In Field-Programmable Logic and Applications, 245–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63465-7_229.

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Paviotti, Marco, Simon Cooksey, Anouk Paradis, Daniel Wright, Scott Owens, and Mark Batty. "Modular Relaxed Dependencies in Weak Memory Concurrency." In Programming Languages and Systems, 599–625. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44914-8_22.

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AbstractWe present a denotational semantics for weak memory concurrency that avoids thin-air reads, provides data-race free programs with sequentially consistent semantics (DRF-SC), and supports a compositional refinement relation for validating optimisations. Our semantics identifies false program dependencies that might be removed by compiler optimisation, and leaves in place just the dependencies necessary to rule out thin-air reads. We show that our dependency calculation can be used to rule out thin-air reads in any axiomatic concurrency model, in particular C++. We present a tool that automatically evaluates litmus tests, show that we can augment C++ to fix the thin-air problem, and we prove that our augmentation is compatible with the previously used compilation mappings over key processor architectures. We argue that our dependency calculation offers a practical route to fixing the longstanding problem of thin-air reads in the C++ specification.
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Führ, Gereon, Ahmed Hallawa, Rainer Leupers, Gerd Ascheid, and Juan Fernando Eusse. "3D Optimisation of Software Application Mappings on Heterogeneous MPSoCs." In Architecture of Computing Systems – ARCS 2020, 56–68. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52794-5_5.

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Rosseel, J., F. Catthoor, T. Gijbels, P. Six, L. Van Gool, and H. De Man. "An Optimisation Methodology for Mapping a Diffusion Algorithm for Vision into a Modular and Flexible Array Architecture." In Algorithms and Parallel VLSI Architectures III, 131–41. Elsevier, 1995. http://dx.doi.org/10.1016/b978-044482106-5/50012-0.

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Falzon, Geoffrey, and Maozhen Li. "Evaluating Heuristics for Scheduling Dependent Jobs in Grid Computing Environments." In Evolving Developments in Grid and Cloud Computing, 31–46. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0056-0.ch003.

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Job scheduling plays a critical role in the utilisation of grid resources by mapping a number of jobs to grid resources. However, the heterogeneity of grid resources adds some challenges to the work of job scheduling, especially when jobs have dependencies which can be represented as Direct Acyclic Graphs (DAGs). It is widely recognised that scheduling m jobs to n resources with an objective to achieve a minimum makespan has shown to be NP-complete, requiring the development of heuristics. Although a number of heuristics are available for job scheduling optimisation, selecting the best heuristic to use in a given grid environment remains a difficult problem due to the fact that the performance of each original heuristic is usually evaluated under different assumptions. This paper evaluates 12 representative heuristics for dependent job scheduling under one set of common assumptions. The results are presented and analysed, which provides an even basis in comparison of the performance of those heuristics. To facilitate performance evaluation, a DAG simulator is implemented which provides a set of tools for DAG job configuration, execution, and monitoring. The components of the DAG simulator are also presented in this paper.
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Falzon, Geoffrey, and Maozhen Li. "Evaluating Heuristics for Scheduling Dependent Jobs in Grid Computing Environments." In Grid and Cloud Computing, 1099–113. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0879-5.ch505.

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Job scheduling plays a critical role in the utilisation of grid resources by mapping a number of jobs to grid resources. However, the heterogeneity of grid resources adds some challenges to the work of job scheduling, especially when jobs have dependencies which can be represented as Direct Acyclic Graphs (DAGs). It is widely recognised that scheduling m jobs to n resources with an objective to achieve a minimum makespan has shown to be NP-complete, requiring the development of heuristics. Although a number of heuristics are available for job scheduling optimisation, selecting the best heuristic to use in a given grid environment remains a difficult problem due to the fact that the performance of each original heuristic is usually evaluated under different assumptions. This paper evaluates 12 representative heuristics for dependent job scheduling under one set of common assumptions. The results are presented and analysed, which provides an even basis in comparison of the performance of those heuristics. To facilitate performance evaluation, a DAG simulator is implemented which provides a set of tools for DAG job configuration, execution, and monitoring. The components of the DAG simulator are also presented in this paper.
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Conference papers on the topic "Mapping optimisation"

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Thurman, Edward, James Riordan, and Daniel Toal. "Automated Optimisation of Simultaneous Multibeam and Sidescan Sonar Seabed Mapping." In OCEANS 2007 - Europe. IEEE, 2007. http://dx.doi.org/10.1109/oceanse.2007.4302324.

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Candaele, Bernard, Sylvain Aguirre, Michel Sarlotte, Iraklis Anagnostopoulos, Sotirios Xydis, Alexandros Bartzas, Dimitris Bekiaris, et al. "Mapping Optimisation for Scalable Multi-core ARchiTecture: The MOSART Approach." In 2010 IEEE Computer Society Annual Symposium on VLSI (ISVLSI). IEEE, 2010. http://dx.doi.org/10.1109/isvlsi.2010.71.

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Srikumaran, S., and S. Sivaloganathan. "Design Optimisation Through Feature Mapping for High Value Added Components: Manufacturing Perspective." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASME, 2005. http://dx.doi.org/10.1115/detc2005-85594.

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Sayuti, M. Norazizi Sham Mohd, and Leandro Soares Indrusiak. "A Function for Hard Real-Time System Search-Based Task Mapping Optimisation." In 2015 IEEE 18th International Symposium on Real-Time Distributed Computing (ISORC). IEEE, 2015. http://dx.doi.org/10.1109/isorc.2015.37.

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Booth, Peter, and Glenn Meyer. "Quarry wall stability and design optimisation using photogrammetric mapping and analysis techniques." In 2013 International Symposium on Slope Stability in Open Pit Mining and Civil Engineering. Australian Centre for Geomechanics, Perth, 2013. http://dx.doi.org/10.36487/acg_rep/1308_65_booth.

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Vincekovic, Luka, Alistair John, Ning Qin, and Shahrokh Shahpar. "Exploring Topology Optimisation of High Pressure Turbine Blade Tips." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-16059.

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Abstract This work presents the aerodynamic topology optimisation of high pressure turbine rotor blade tips. Before carrying out the topology optimisation on the blade tip, some initial tip design studies were carried out. The winglet shape was optimised using two different design space setups and parameter limits. The optimum winglet design features the largest overhangs and in the case of unconstrained optimisation proved to have 1.40% greater aerodynamic efficiency. Secondly, a radial basis function based parametrisation was set up to allow the creation of single squealer line using the flat tip blade as a baseline geometry. The optimum case proved to increase efficiency 0.46% compared to the flat tip. After that, a combination of winglet and topology free squealer tips was investigated for topology optimisation. The winglet tip was parametrized as in the winglet only optimisation cases and topology free squealer walls were created using mapping of radial basis function surfaces of different complexities. It is shown that by combining both winglet and novel squealer topology optimisation, better designs of different topologies can be produced.
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Sayuti, M. Norazizi Sham Mohd, and Leandro Soares Indrusiak. "Simultaneous Optimisation of Task Mapping and Priority Assignment for Real-Time Embedded NoCs." In 2015 23rd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP). IEEE, 2015. http://dx.doi.org/10.1109/pdp.2015.84.

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Zhou, Zheng-Shu, Peter Caccetta, Eric Lehmann, Alex Held, Stephen McNeill, Anthea Mitchell, Anthony Milne, Ian Tapley, and Kim Lowell. "Dual polarised Entropy/alpha decomposition and coherence optimisation for improved forest height mapping." In IGARSS 2011 - 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2011. http://dx.doi.org/10.1109/igarss.2011.6050096.

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Sacanamboy, Maribell, Luis Quesada, Freddy Bolanos, Alvaro Bernal, and Barry O'Sullivan. "A Comparison between Two Optimisation Alternatives for Mapping in Wireless Network on Chip." In 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2016. http://dx.doi.org/10.1109/ictai.2016.0145.

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Lim, Serena, Kayvan Pazouki, and Alan J. Murphy. "Holistic Energy Mapping Methodology for Reduced Fuel Consumption and Emissions." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61945.

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There are increasing concerns and regulations regarding the emission of pollutants from shipping. Therefore, regulations such as the Ship Energy Efficiency Management Plan (SEEMP) and Energy Efficiency Design Index (EEDI) have been made mandatory to cope with climate change concerns. To put these efforts into practice, the Energy Efficiency Operational Indicator (EEOI) was introduced in 2009 to account for the fuel consumption, distance travelled by the vessel and cargo mass. However, it is stated that these do not apply to ships that are not engaged in transport work such as research vessels and tugboats. These short sea shipping vessels have been neglected under current indexes and it is not possible for their properties to be quantified since current indices are for vessels carrying loads. The numbers of these specialised vessels are increasing in local waters, and are closer to coastal communities where concerns and impact from these pollutants would be more direct. In the IMO greenhouse gas study, options for improving energy efficiency in terms of design includes the concept, design speed and capability, hull and superstructure, power and propulsion whilst the principle of energy efficiency in terms of operation includes fleet management, logistics and incentives, voyage optimisation and energy management. A reliable energy flow breakdown architecture and diagnostics for these smaller vessels is important and will contribute to an understanding of the energy production, distribution and consumption on-board. This feeds into the IMO plan to encourage energy management. A systematic approach consisting of five distinct stages is recommended to accomplish a holistic approach for energy efficiency management. This includes understanding of energy flow breakdown architecture, vessel survey to understand operation and conduct, review existing sensors and new sensor installation, sensor communication and data processing, and finally data analysis. These stages are addressed in this paper to provide an overall understanding of a robust energy efficiency audit procedure and sensor matrix. This includes unifying the existing on-board sensors with the proposed new sensors for additional data collection where primary parameters are not readily available. Inferred secondary parameter calculations are also applied where direct data collection is not possible. This will allow information from the vessel to be transmitted to a common platform to enable detailed data analysis. The aim of this work is to improve energy management and monitoring, which leads to understanding and managing consumption of energy. A case study of this methodology has been carried out on the Princess Royal, a Newcastle University research vessel. Recommendations for further testing and optimisation of this methodology will be applied to tugboats and Offshore Supply Vessels (OSV).
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