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检索条件"任意字段=Proceedings of the fourteenth workshop on Parallel and distributed simulation"

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Towards distributed Software Resilience in Asynchronous Many-Task Programming Models 10

Towards Distributed Software Resilience in Asynchronous Many...

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IEEE/ACM 10th workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS)

作者： Gupta, Nikunj Mayo, Jackson R. Lemoine, Adrian S. Kaiser, Hartmut Indian Inst Technol Dept CSE Roorkee Uttar Pradesh India Sandia Natl Labs Livermore CA USA Louisiana State Univ Ctr Computat Technol Baton Rouge LA 70803 USA AMD Inc Austin TX USA STE AR Grp Noida India

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.

关键词： software resilience parallel and distributed computing asynchronous many-task systems HPX

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14th International workshop on Artificial Life and Evolutionary Computation, WIVACE 2019

14th International Workshop on Artificial Life and Evolution...

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14th International workshop on Artificial Life and Evolutionary Computation, WIVACE 2019

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.

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Teaching parallel and distributed Computing Concepts in simulation with WRENCH

Teaching Parallel and Distributed Computing Concepts in Simu...

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workshop on Education for High Performance Computing (EduHPC)

作者： Tanaka, Ryan da Silva, Rafael Ferreira Casanova, Henri Univ Hawaii Informat & Comp Sci Honolulu HI 96822 USA Univ Southern Calif Informat Sci Inst Marina Del Rey CA USA

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.

关键词： Computer Science Education High Performance Computing parallel and distributed Computing Cyberinfrastructure simulation

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Approaches for in situ computation of moments in a data-parallel environment

Approaches for in situ computation of moments in a data-para...

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20th Eurographics Symposium on parallel Graphics and Visualization, EGPGV 2020

作者： Tsai, Karen C. Bujack, Roxana Geveci, Berk Ayachit, Utkarsh Ahrens, James Los Alamos National Laboratory Kitware Inc.

ISBN: (纸本)9783038681076

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 as a black box detector of arbitrary feature templates of interest. In particular, we use moment invariants because they allow pattern detection independent of the specific orientation of a feature. We provide two open source implementations of a rotation invariant pattern detection algorithm for high performance computing (HPC) clusters with a distributed memory environment. The first one is a straightforward integration approach. The second one makes use of the Fourier transform and the Cross-Correlation Theorem. In this paper, we will compare the two approaches with respect to performance and flexibility and showcase results of the in situ integration with real world simulation code. © 2020 The Author(s) Eurographics proceedings © 2020 The Eurographics Association.

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proceedings of EduHPC 2019: workshop on Education for High Performance Computing - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis

Proceedings of EduHPC 2019: Workshop on Education for High P...

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2019 workshop on Education for High Performance Computing, EduHPC 2019

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.

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Peachy parallel Assignments (EduHPC 2019)

Peachy Parallel Assignments (EduHPC 2019)

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workshop on Education for High Performance Computing (EduHPC)

作者： Agung, Mulya Amrizal, Muhammad Alfian Bogaerts, Steven Egawa, Ryusuke Ellsworth, Daniel A. Fernandez-Fabeiro, Jorge Gonzalez-Escribano, Arturo Kundu, Sukhamay Lazar, Alina Malony, Allen Takizawa, Hiroyuki Bunde, David P. Tohoku Univ Sendai Miyagi Japan Depauw Univ Greencastle IN 46135 USA Colorado Coll Colorado Springs CO 80903 USA Univ Valladolid Valladolid Spain Louisiana State Univ Baton Rouge LA 70803 USA Youngstown State Univ Youngstown OH 44555 USA Univ Oregon Eugene OR 97403 USA Knox Coll Galesburg IL USA

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.

关键词： parallel computing education High-Performance Computing education parallel programming Cloud Computing Curriculum Development Thread Mapping Data Analytics Prefix-sum OpenMP MPI GPGPU NUMA Dask

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ICCS-DE 2019 - proceedings of the 1st International workshop on Information, Computation, and Control Systems for distributed Environments

ICCS-DE 2019 - Proceedings of the 1st International Workshop...

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1st International workshop on Information, Computation, and Control Systems for distributed Environments, ICCS-DE 2019

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 microservices;PCF-based formalization of the parallel composition of automata;modeling energy systems of Vietnam with integration of renewable power sources;toolkit for simulation modeling of queue systems in grid;methods and tools for evaluating the reliability of information and computation processes in grid and cloud systems;framework for preparing subject data in testing modules of scientific applications;and autonomous coordination of heterogeneous vehicles for persistent monitoring problem with route and fuel constraints. © 2019 CEUR-WS. All rights reserved.

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PCF-based formalization of the parallel composition of automata 1

PCF-based formalization of the parallel composition of autom...

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1st International workshop on Information, Computation, and Control Systems for distributed Environments, ICCS-DE 2019

作者： Davydov, Artem Larionov, Aleksandr Nagul, Nadezhda Matrosov Institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of Sciences 134 Lermontov str. Irkutsk664033 Russia

The paper demonstrates how the automatic theorem proving technique of the PCF calculus is applied to construct parallel composition of automata. parallel composition plays an essential role in the supervisory control theory at different stages of systems and supervisors design. Improved formalization of discrete event systems as positively-constructed formulas along with auxiliary predicates, serving for accessibility of the automaton checking, simplify parallel composition construction. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Discrete event simulation

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International workshop on Massively Multi-agent Systems, MMAS 2018

International Workshop on Massively Multi-agent Systems, MMA...

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International workshop on Massively Multi-agent Systems, MMAS 2018

ISBN: (纸本)9783030209360

The proceedings contain 10 papers. The special focus in this conference is on Massively Multi-agent Systems. The topics include: Injecting (Micro)Intelligence in the IoT: Logic-Based Approaches for (M)MAS;integrating Internet of Services and Internet of Things from a Multiagent Perspective;two-Layer Architecture for distributed Massively Multi-agent Systems;multi-agent Social simulation for Social Service Design;inverse Reinforcement Learning for Agents Behavior in a Crowd Simulator;FARM: Architecture for distributed Agent-Based Social simulations;diversity in Massively Multi-agent Systems: Concepts, Implementations, and Normal Accidents;CARAVAN: A Framework for Comprehensive simulations on Massive parallel Machines.

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Evaluation of Programming Models to Address Load Imbalance on distributed Multi-Core CPUs: A Case Study with Block Low-Rank Factorization

Evaluation of Programming Models to Address Load Imbalance o...

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IEEE/ACM parallel Applications workshop / Alternatives To MPI+X workshop (PAW-ATM)

作者： Pei, Yu Bosilca, George Yamazaki, Ichitaro Ida, Akihiro Dongarra, Jack Univ Tennessee Innovat Comp Lab Knoxville TN 37996 USA Sandia Natl Labs POB 5800 Albuquerque NM 87185 USA Univ Tokyo Informat Technol Ctr Tokyo Japan

ISBN: (纸本)9781728159799

To minimize data movement, many parallel applications statically distribute computational tasks among the processes. However, modern simulations often encounters irregular computational tasks whose computational loads change dynamically at runtime or are data dependent. As a result, load imbalance among the processes at each step of simulation is a natural situation that must be dealt with at the programming level. The de facto parallel programming approach, flat MPI (one process per core), is hardly suitable to manage the lack of balance, imposing significant idle time on the simulation as processes have to wait for the slowest process at each step of simulation. One critical application for many domains is the LU factorization of a large dense matrix stored in the Block Low-Rank (BLR) format. Using the low-rank format can significantly reduce the cost of factorization in many scientific applications, including the boundary element analysis of electrostatic field. However, the partitioning of the matrix based on underlying geometry leads to different sizes of the matrix blocks whose numerical ranks change at each step of factorization, leading to the load imbalance among the processes at each step of factorization. We use BLR LU factorization as a test case to study the programmability and performance of five different programming approaches: (1) flat MPI, (2) Adaptive MPI (Charm++), (3) MPI + OpenMP, (4) parameterized task graph (PTG), and (5) dynamic task discovery (DTD). The last two versions use a task-based paradigm to express the algorithm;we rely on the PaRSEC runtime system to execute the tasks. We first point out programming features needed to efficiently solve this category of problems, hinting at possible alternatives to the MPI+X programming paradigm. We then evaluate the programmability of the different approaches, detailing our experience implementing the algorithm using each of the models. Finally, we show the performance result on the Intel Haswell-

关键词： Factorization

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