Full Download Accurate Modeling of Parallel Scientific Computations - National Aeronautics and Space Administration file in ePub
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An accurate tool for modeling, fingerprinting, comparison, and clustering of parallel applications based on performance counters.
May 2, 1997 schedules, fast spice simulation with no loss in accuracy has become a necessity.
Parallelism is a measurement of whether two surfaces of an object are parallel to each other, or whether two lines are parallel.
This paper investigates the modeling of elongation in plastic fiber ropes for cable-driven parallel robots. The aim is to increase the accuracy of such a machine by incorporating a simple model for cable elongation when a force is applied.
Proposing an efficient model with lower computational cost and more accurate results than other parallel hybrid models.
The comparable accuracy of these models suggest differenti- ating features will arise from the performance of parallel applications.
You can easily produce 3d models using up to 300 gigapixels of photos taken with an ordinary camera and/or 3 billion points from a laser scanner, resulting in fine details, sharp edges, and geometric accuracy. Dramatically reduce processing time with the ability to run two contextcapture instances in parallel on a single project.
This insulated wall is an assembly of cavities filled with insulation and wood framing members and covered with various layers of other materials. Heat flowing through different parts of the wall encounters different amounts of resistance, but we can describe the overall quality of the wall by an average u-factor calculated from an understanding of series and parallel heat flow.
The reliability and accuracy of the model results have been demonstrated by comparing them to those of small-scale (coarse-grid) models.
A new generation framework for petroleum reservoir simulation. As part of the acti project, we have developed a simulator framework ipars (integrated parallel accurate reservoir simulator) to serve as a test-bed for multiphase flow models, numerical discretizations, solvers, and upscaling.
Nov 21, 2009 3d geometric models are common in computer games. Reduction in vertex and polygon count but with a less accurate fit to the original model.
In this paper, we comparatively investigate the performance of parallel radial basis function (rbf)-based, moving least square (mls)-based, and shepard's interpolation algorithms for building dems by evaluating the influence of terrain type, raw data density, and distribution patterns on the interpolation accuracy and computational efficiency.
•principles of parallel algorithm design (chapter 3) •programming on large scale systems (chapter 6) –mpi (point to point and collectives) –introduction to pgas languages, upc and chapel •analysis of parallel program executions (chapter 5) –performance metrics for parallel systems •execution time, overhead, speedup, efficiency, cost.
These models provide a more accurate representation of the small signal behavior of this class of converters by including independent duty cycle control of each paralleled interleaved converter in the model and taking into account the dumping effect from interleaving the converter stages.
Ppopp '17: proceedings of the 22nd acm sigplan symposium on principles and practice of parallel programming simple, accurate, analytical time modeling and optimal tile size selection for gpgpu stencils.
Cables are substituted for rigid-links in some parallel manipulators, that is, the wire driven parallel mechanism (wdpm). To realize the accuracy control, the accurate kinematics and dynamics mechanical models are deduced.
Many parallel algorithm design models have been proposed for abstracting a large class of parallel architectures. However, all of these models potentially make inaccurate asymptotic performance predictions that may be too optimistic or too pessimistic depending on the circumstances.
Abstract: the paper focuses on the accuracy improvement of stiffness models for parallel manipulators, which are employed in high-speed precision machining. It is based on the integrated methodology that combines analytical and numerical techniques and deals with multidimensional lumped-parameter models of the links.
The parallel rc circuit is generally of less interest than the series circuit. This is largely because the output voltage v out is equal to the input voltage v in — as a result, this circuit does not act as a filter on the input signal unless fed by a current source.
A parallel computation technology for modeling fluid dynamics problems by finite-volume and finite-difference methods of high accuracy is presented. The development of an algorithm, the design of a software implementation, and the creation of parallel programs for computations on large-scale computing systems are considered.
Previous approaches have generally been based ei-ther on sentence length or word correspondences. Sentence-length-based meth-ods are relatively fast and fairly accurate. Word-correspondence-based methods are generally more accurate but much slower, and usually depend on cognates or a bilingual lexicon.
May 23, 2019 a natural way to have a more accurate estimate of the gradients is to use larger in that way, model parallelism could behave like real parallel.
For cfd results to be useful in ic engine analysis, simulation results should be accurate and consistent.
December 1988; the models constructed are shown to be accurate, and are used to find optimal remapping schedules.
Sniper is a next generation parallel, high-speed and accurate x86 simulator. This multi-core simu- lator is based on the interval core model and the graphite.
The model is validated using the implementation in the superlu_dist linear system solver, the sparse matrices from real application, and an ibm power3 parallel machine. Our modeling methodology can be adapted to study performance of other types of sparse factorizations, such as cholesky or qr, and on different parallel machines.
Parallel kinetic monte carlo simulation framework incorporating accurate models of adsorbate lateral interactions. Nielsen j(1), d'avezac m(1), hetherington j(1), stamatakis m(2). Author information: (1)research software development team, research it services, university college london, torrington place, london wc1e 6bt, united kingdom.
Parallel processing has been developed as an effective technology in modern computers to meet the demand for higher performance, lower cost and accurate results in real-life applications. Concurrent events are common in today’s computers due to the practice of multiprogramming, multiprocessing, or multicomputing.
Enable reasonably accurate simulation while being much less expensive than running the application.
System availability is calculated by modeling the system as an interconnection of parts in series and parallel. The following rules are used to decide if components should be placed in series or parallel: if failure of a part leads to the combination becoming inoperable, the two parts are considered to be operating in series.
Predictions based on analytical performance models can be used on efficient scheduling policies in order to select adequate resources for an optimal execution in terms of throughput and response time. However, developing accurate analytical models of parallel applications is a hard issue. The tia (tools for instrumenting and analysis) modeling framework provides an easy to use modeling method.
Parallel processing refers to the speeding up a computational task by dividing it into smaller jobs across multiple processors. Notable applications for parallel processing (also known as parallel computing) include computational astrophysics, geoprocessing (or seismic surveying), climate modeling, agriculture estimates, financial risk management, video color correction, computational fluid.
For example, the centers for disease control and prevention is using models that forecast a best-case scenario in which about 200,000 americans die, according to reporting by the new york times.
Therefore, the parallel version of petsc (with mpi) was implemented to accelerate such processes. For small reservoir models that molecular diffusion is the primary cause of mass transfer, using direct methods yields more accurate results in less runtime.
Ansys discovery is the first simulation-driven design tool to combine instant physics simulation, proven ansys high-fidelity simulation and interactive geometry modeling in a single user experience.
Accuracy improvement for stiffness modeling of parallel manipulators.
Nov 21, 2011 as frequency of circuit i/o getting higher, sso simulation in the past with ibis buffer model that have result be in- accurate and under-estimated.
To discourage complexity, this study employs a novel method called asynchronous parallel gp (apgp) that introduces a race condition in the evolutionary process.
Transaction level models of systems-on-chip in systemc are commonly used in the parallelization, but most of them are limited to cycle-accurate models.
By using different types of models based on accurate alignments combined with parallel processing, we can practically double the number of protein structures.
Consistently growing architectural complexity and machine scales make creating accurate performance models for large-scale applications increasingly.
Aug 24, 2017 a fast time simulation capability with high accuracy is essential to effectively explore the consequences of decisions from the airspace design.
A numerical model was prepared in this study to (1) determine the flow distribution and pressure drop at the parallel pipes and to validate the result with the data obtained from experimental setup, (2) determine the optimum design of the tapered manifold that can give uniform water distribution through changing the diameter ratio parametrically.
The tia modeling framework [6] pro- vides the user with an easy to use method, based on the akaike information criterion (aic) [1], for obtaining accurate analytical models of parallel applications. While job scheduling does not affect the results of a job, it may have a signif- icant influence on the efficiency of the system.
Our model characterizes the algorithmic behavior bytakingaccount the underlying processor speed, memory system performance, aswell as the interconnect speed. The model is validated using thesuperlu_dist linear system solver, the sparse matrices from realapplications, and an ibm power3 parallel machine.
The model is validated using the implementation in the superlu dist linear system solver, the sparse matrices from real application, and an ibm power3 parallel machine. Our modeling methodology can be adapted to study performance of other types of sparse factorizations, such as cholesky or qr, and on different parallel machines.
Accuracies of these models were assessed by superimposition on the corresponding experimentally determined structures. A subset of these results was compared with parallel studies of modeling accuracy using several other automated homology modeling approaches.
Jul 26, 2018 for complex distributed parameter systems, the accurate modeling becomes difficult.
Reliability engineering is a sub-discipline of systems engineering that emphasizes the ability of equipment to function without failure. Reliability describes the ability of a system or component to function under stated conditions for a specified period of time.
Models for parallel computing: parallel random access machine (pram) perhaps the first and best known abstract model for parallel computers. The theoretical model assumes unlimited private and shared memory. The model assumes single cycle access to private and shared memory.
A parallel pattern simulator show a good trade-off of accuracy versus eficiency.
A parallel programming model is a set of program abstractions for fitting parallel activities from the application to the underlying parallel hardware. It spans over different layers: applications, programming languages, compilers, libraries, network communication, and i/o systems.
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