The proceedings contain 23 papers. The topics discussed include: GeoDRIVE, an HPC flexible platform for seismic applications;one-way wave equation migration of common-offset vector gathers: parallel multi CPU/GPU impl...
The proceedings contain 23 papers. The topics discussed include: GeoDRIVE, an HPC flexible platform for seismic applications;one-way wave equation migration of common-offset vector gathers: parallel multi CPU/GPU implementation;a checkpoint of research on the implementation of geophysical stencils on multicore platforms;saving FLOPs in geophysics with optimal p-adaptivity;alleviating the pressure on memory for seismic modeling;automated distributed-memory parallelism from symbolic specification in Devito;total takes the deep dive into GPU for seismic imaging;a GPGPU pipeline for fast synthesis of 3D seismic;incorporating lossless compression in parallel reservoir simulation;and digital twin of multiscale geological media: faults, fracture corridors, caves. Seismic simulation and imaging.
The proceedings contain 24 papers. The topics discussed include: the parallel & distributed code for numerical simulation of relativistic magnetohydrodynamics simulation;hydrodynamic modeling of self-gravitating a...
The proceedings contain 24 papers. The topics discussed include: the parallel & distributed code for numerical simulation of relativistic magnetohydrodynamics simulation;hydrodynamic modeling of self-gravitating astrophysical objects on tetrahedral meshes;influence of distance between coils with current on the effect of cascade plasma heating in flows injected from the QSPA;the supercomputing simulation of instability and shock waves in gas giant;calculation of the expansion dynamics of evaporated tungsten under the action of a laser pulse;direct fluid flow simulation at pore scale with regularized hydrodynamic equations;computing the aerodynamic drag of fractal aggregates in free-molecular and transition regimes;three-dimensional hybrid numerical tool for collisionless plasma modeling;and ontological approach to formalization of knowledge in computational plasma physics.
Exceptions and errors occurring within mission critical applications due to hardware failures have a high cost. With the emerging Next Generation Platforms (NGPs), the rate of hardware failures will likely increase. T...
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ISBN:
(纸本)9780738110806
Exceptions and errors occurring within mission critical applications due to hardware failures have a high cost. With the emerging Next Generation Platforms (NGPs), the rate of hardware failures will likely increase. Therefore, designing our applications to be resilient is a critical concern in order to retain the reliability of results while meeting the constraints on power budgets. In this paper, we discuss software resilience in AMTs at both local and distributed scale. We choose HPX to prototype our resiliency designs. We implement two resiliency APIs that we expose to the application developers, namely task replication and task replay. Task replication repeats a task n-times and executes them asynchronously. Task replay reschedules a task up to n-times until a valid output is returned. Furthermore, we expose algorithm based fault tolerance (ABFT) using user provided predicates (e.g., checksums) to validate the returned results. We benchmark the resiliency scheme for both synthetic and real world applications at local and distributed scale and show that most of the added execution time arises from the replay, replication or data movement of the tasks and not the boilerplate code added to achieve resilience.
The proceedings contain 17 papers. The special focus in this conference is on Artificial Life and Evolutionary Computation. The topics include: An analysis of cooperative coevolutionary differential evolution as neura...
ISBN:
(纸本)9783030450151
The proceedings contain 17 papers. The special focus in this conference is on Artificial Life and Evolutionary Computation. The topics include: An analysis of cooperative coevolutionary differential evolution as neural networks optimizer;Design and evaluation of a heuristic optimization tool based on evolutionary grammars using PSoCs;how word choice affects cognitive impairment detection by handwriting analysis: A preliminary study;modeling the coordination of a multiple robots using nature inspired approaches;nestedness temperature in the agent-artifact space: Emergence of hierarchical order in the 2000–2014 photonics techno-economic complex system;towards programmable chemistries;studying and simulating the three-dimensional arrangement of droplets;investigating three-dimensional arrangements of droplets;selecting for positive responses to knock outs in boolean networks;avalanches of perturbations in modular gene regulatory networks;the effects of a simplified model of chromatin dynamics on attractors robustness in random boolean networks with self-loops: An experimental study;a memetic approach for the orienteering problem;the detection of dynamical organization in cancer evolution models;the simulation of noise impact on the dynamics of a discrete chaotic map;exploiting distributed discrete-event simulation techniques for parallel execution of cellular automata.
Teaching topics related to high performance computing and parallel and distributed computing in a hands-on manner is challenging, especially at introductory, undergraduate levels. There is a participation challenge du...
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ISBN:
(纸本)9781728159751
Teaching topics related to high performance computing and parallel and distributed computing in a hands-on manner is challenging, especially at introductory, undergraduate levels. There is a participation challenge due to the need to secure access to a platform on which students can learn via hands-on activities, which is not always possible. There are also pedagogic challenges. For instance, any particular platform provided to students imposes constraints on which learning objectives can be achieved. These challenges become steeper as the topics being taught target more heterogeneous, more distributed, and/or larger platforms, as needed to prepare students for using and developing Cyberinfrastructure. To address the above challenges, we have developed a set of pedagogic activities that can be integrated piecemeal in university courses, starting at freshman levels. These activities use simulation so that students can experience hands-on any relevant application and platform scenarios. This is achieved by capitalizing on the capabilities of the WRENCH and SimGrid simulation frameworks. After describing our approach and the pedagogic activities currently available, we present results from an evaluation performed in an undergraduate university course.
Feature-driven in situ data reduction can overcome the I/O bottleneck that large simulations face in modern supercomputer architectures in a semantically meaningful way. In this work, we make use of pattern detection ...
The proceedings contain 10 papers. The topics discussed include: teaching parallel and distributed computing concepts in simulation with WRENCH;assessing the integration of parallel and distributed computing in early ...
ISBN:
(纸本)9781728159751
The proceedings contain 10 papers. The topics discussed include: teaching parallel and distributed computing concepts in simulation with WRENCH;assessing the integration of parallel and distributed computing in early undergraduate computer science curriculum using unplugged activities;successful systems in production graduate teaching;teaching concurrent and distributed programming with concepts over mathematical proofs;toward improving collaborative behaviour during competitive programming assignments;and teaching on demand: an HPC experience.
Peachy parallel assignments are high-quality assignments for teaching parallel and distributed computing. They have been successfully used in class and are selected on the basis of their suitability for adoption and f...
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ISBN:
(纸本)9781728159751
Peachy parallel assignments are high-quality assignments for teaching parallel and distributed computing. They have been successfully used in class and are selected on the basis of their suitability for adoption and for being cool and inspirational for students. Here we present a fire fighting simulation, thread-to-core mapping on NUMA nodes, introductory cloud computing, interesting variations on prefix-sum, searching for a lost PIN, and Big Data analytics.
The proceedings contain 10 papers. The topics discussed include: research on the resilience of the intelligent integrated energy systems;intellectual technology for computation control in the package of applied micros...
Fiber optic shape sensing is innovative technology, which enables distributed structural health monitoring, providing real-time feedback on shape and position, based on smart sensors arrays, which consists of optical ...
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ISBN:
(数字)9781510631243
ISBN:
(纸本)9781510631243
Fiber optic shape sensing is innovative technology, which enables distributed structural health monitoring, providing real-time feedback on shape and position, based on smart sensors arrays, which consists of optical fiber bundles or multicore fibers with embedded strain sensors. This paper describes a numerical analysis carried out to identify the effects of uncertainty in strain measurement and core position on the accuracy of fiber optic shape sensors, taking into consideration one of the most utilized geometry for fiber optic sensing applications, the seven-core Multicore Fiber, and distinct values of core spacings (distance between outer cores and sensor axis). The Monte Carlo Method was employed to simulate the real measurement process and one million of iterations were performed for each simulation with the aim of defining the laws of uncertainty propagation. The results of this study demonstrate the influence of core position uncertainty, strain measurement resolution and core spacing on optical shape sensors accuracy and can support the design of new sensors, predicting the achievable performance.
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