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

共 1191 条记录，以下是11-20 订阅

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proceedings of HiPar 2021: 2nd workshop on Hierarchical parallelism for Exascale Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis

Proceedings of HiPar 2021: 2nd Workshop on Hierarchical Para...

引用

2nd workshop on Hierarchical parallelism for Exascale Computing, HiPar 2021

ISBN: (纸本)9781665411325

The proceedings contain 4 papers. The topics discussed include: distributing higher-dimensional simulations across compute systems: a widely distributed combination technique;benchmarking and extending SYCL hierarchical parallelism;did the GPU obfuscate the load imbalance in my MPI simulation?;and PPIR: parallel pattern intermediate representation.

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WCES 2021 - proceedings of the workshop on Control and Embedded Systems, Co-located with EASTON 100 - 5th International Conference on Computing Sciences, ICCS 2021

WCES 2021 - Proceedings of the Workshop on Control and Embed...

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2021 workshop on Control and Embedded Systems, WCES 2021

The proceedings contain 12 papers. The topics discussed include: performance evaluation of distributed networks for Internet of things;connectivity pattern analysis for virtual simulation design, based on high-performance game analysis;computational study for improvement of aerodynamic performance of airfoil by changing various aerodynamic properties;an experimental design approach to IoT enabled smart parallel irrigation system using embedded microcontrollers;to develop, test and record a 3 lead EMG electrode and flex sensor on a 3D prosthetic limb with different gait patterns using Arduino microcontroller;and low-cost system for the management of hospital services, applied to hospitalized patients through the use of IoT technology.

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Peachy parallel Assignments (EduHPC 2020)

Peachy Parallel Assignments (EduHPC 2020)

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workshop on Education for High Performance Computing (EduHPC)

作者： Casanova, Henri da Silva, Rafael Ferreira Gonzalez-Escribano, Arturo Koch, William Torres, Yuri Bunde, David P. Univ Hawaii Honolulu HI 96822 USA Univ Southern Calif Marina Del Rey CA USA Univ Valladolid Valladolid Spain Knox Coll Galesburg IL USA

ISBN: (纸本)9780738143057

Peachy parallel Assignments are high-quality assignments for teaching parallel and distributed computing. They are selected competitively for presentation at the Edu* workshops. All of the assignments have been successfully used in class and they are selected based on the their ease of adoption by other instructors and for being cool and inspirational to students. This paper presents a paper-and-pencil assignment asking students to analyze the performance of different system configurations and an assignment in which students parallelize a simulation of the evolution of simple living organisms.

关键词： Peachy parallel Assignments parallel computing education High-Performance Computing education parallel programming Curriculum Development Performance analysis parallel simulation OpenMP MPI GPGPU

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simulation MODEL of AN HPC SYSTEM for SUPER CHARM-TAU FACTORY 9

SIMULATION MODEL of AN HPC SYSTEM for SUPER CHARM-TAU FACTOR...

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9th International Conference "distributed Computing and Grid Technologies in Science and Education", GRID 2021

作者： Wiens, Dmitry Chernykh, Igor Logashenko, Ivan Kolpakov, Fedor Vorobiev, Vitaluy Institute of Computational Mathematics and Mathematical Geophysics Siberian Branch Russian Academy of Science 6 Akad. Lavrentieva Pr. Novosibirsk630090 Russia 11 Acad. Lavrentieva Pr. Novosibirsk630090 Russia Federal Research Center for Information and Computational Technologies 6 Akad. Lavrentieva Pr. Novosibirsk630090 Russia

This paper describes the design of a simulation model of the infrastructure for data processing from the Super Charm-Tau factory class "megasience" electron-positron collider. The model simulates the behavior of the main subsystems of a supercomputer, such as the task scheduler, computing clusters, data storage system, etc. Using simulation modeling allows for the maximally reliable representation of the exact characteristics and volume of the needed equipment for developing the desired HPC system. The simulation model accounts for all the aspects of operation of this system from parallel data storage system to arrangement of the parallel launch of tasks. The developed system for processing software errors and equipment failures, as well as the system for ensuring energy efficiency make it possible to estimate the needed equipment with account for all possible emergency situations. This model allows calculating the parameters of the computing system necessary for processing and storing the results of operation of the Super Charm-Tau factory after its commissioning. © 2021 CEUR-WS. All rights reserved.

关键词： Supercomputers

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A combined fast/cycle accurate simulation tool for reconfigurable accelerator evaluation: application to distributed data management 31

A combined fast/cycle accurate simulation tool for reconfigu...

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31st International workshop on Rapid System Prototyping (RSP) - Shortening the Path from Specification to Prototype

作者： Lenormand, Erwan Goubier, Thierry Cudennec, Loic Charles, Henri-Pierre Univ Paris Saclay Inst LIST CEA PC 172 F-91191 Gif Sur Yvette France DGA MI Dept Artificial Intelligence BP 7 F-35998 Rennes Armees France Univ Grenoble Alpes CEA Inst LIST F-38000 Grenoble France

ISBN: (纸本)9781728184661

parallel computing systems based on reconfigurable accelerators are becoming (1) increasingly heterogeneous, (2) difficult to design and (3) complex to model. Such modeling of a parallel computing system helps to evaluate its performance and to improve its architecture before prototyping. This paper presents a simulation tool aiming to study the integration of reconfigurable accelerators in scalable distributed systems and runtimes, such as S-DSM systems, where S-DSM (software-distributed shared memory) is a paradigm to ease data management among distributed nodes. This tool allows us to simulate the execution of irregular compute kernels accessing distributed data. To deal with the complexity of modeling (3) the complete system we used a hybrid methodology. We integrated the simulation engine into the S-DSM. The distributed data management part is executed on the physical architecture allowing to generate precise and faithful latencies, and the accelerator simulation is cycle accurate. We used general sparse matrix-matrix multiplication (SpGEMM) as a case study. We show that the use of this tool makes it possible to analyze the behavior of an heterogeneous system (1) with rapid prototyping and simulation. The analysis of the results allowed to determine the correct sizing of the architecture (2) to obtain the best performance. The tool allowed to identify the bottleneck of our architecture and confirmed the possibility of hiding data access latencies. Our simulation platform allows to emulate a heterogeneous distributed system by introducing a slowdown between 1.2 and 3.7 times compared to the compute kernel simulation alone.

关键词： Hybrid simulation distributed systems Reconfigurable Computing

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Experiences in Developing a distributed Agent-based Modeling Toolkit with Python 9

Experiences in Developing a Distributed Agent-based Modeling...

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9th workshop on Python for High-Performance and Scientific Computing (PYHPC)

作者： Collier, Nicholson T. Ozik, Jonathan Tatara, Eric R. Argonne Natl Lab Decis & Infrastruct Sci Lemont IL 60439 USA

ISBN: (纸本)9780738110868

distributed agent-based modeling (ABM) on high-performance computing resources provides the promise of capturing unprecedented details of large-scale complex systems. However, the specialized knowledge required for developing such ABMs creates barriers to wider adoption and utilization. Here we present our experiences in developing an initial implementation of Repast4Py, a Python-based distributed ABM toolkit. We build on our experiences in developing ABM toolkits, including Repast for High Performance Computing (Repast HPC), to identify the key elements of a useful distributed ABM toolkit. We leverage the Numba, NumPy, and PyTorch packages and the Python C-API to create a scalable modeling system that can exploit the largest HPC resources and emerging computing architectures.

关键词： agent-based modeling parallel processing high performance computing computer simulation

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Evaluation of the Communication Motif for a distributed Eigensolver using the SST Network simulation Tool

Evaluation of the Communication Motif for a Distributed Eige...

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IEEE/ACM 11th International workshop on Performance Modeling, Benchmarking and simulation of High Performance Computer Systems (PMBS)

作者： Afibuzzaman, Md Maris, Pieter Groves, Taylor Oryspayev, Dossay Cook, Brandon Yang, Chao Aktulga, Hasan Metin Michigan State Univ Dept Comp Sci & Engn E Lansing MI 48824 USA Iowa State Univ Dept Phys & Astron Ames IA USA Lawrence Berkeley Natl Lab Natl Energy Res Comp Ctr 1 Cyclotron Rd Berkeley CA 94720 USA Lawrence Berkeley Natl Lab Computat Res Div 1 Cyclotron Rd Berkeley CA 94720 USA

ISBN: (纸本)9780738110486

A new motif that corresponds to the communication operations of the distributed LOBPCG eigensolver used in the Many-Fermion Dynamics-nuclear, or MFDn, code is constructed. The impact of communication strategy and process placement are evaluated on current and future architectures using the SST network simulation tool. simulation of the communication motif is validated against production runs on the Cori system at NERSC. We identify the strengths and shortcomings of SST in doing so.

关键词： Network simulation Communication Motif distributed Memory parallel Sparse Eigensolver Performance Benchmarking

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Self-adjusting Task Granularity for Global Load Balancer Library on Clusters of Many-core Processors 11

Self-adjusting Task Granularity for Global Load Balancer Lib...

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11th International workshop on Programming Models and Applications for Multicores and Manycores (PMAM)

作者： Finnerty, Patrick Kamada, Tomio Ohta, Chikara Kobe Univ Grad Sch Syst Informat Kobe Hyogo Japan Kobe Univ Japan Grad Sch Sci Technol & Innovat Kobe Hyogo Japan

ISBN: (纸本)9781450375221

Achieving load balance is a challenge for irregular applications. Balancing runtimes and libraries aim at relieving the programmer from this difficult task by proposing a layer of abstraction between the computation at hand and the hardware used to actually perform it. With the rise of many-core architectures, load balancers for distributed computation are now expected to handle unbalance both between and within compute nodes. We bear a particular interest in backtrack search algorithms where branches of the exploration tree can be processed in parallel. Profile-based load balancers cannot be applied to them as the computation need only be performed once. It is therefore vital to promptly detect and address load unbalances from the start. A popular solution consists in using the fork/join model. Another approach on which we focus in this article is implemented in the load balancing library of X10. Both of these schemes are sensitive to task granularity. Fined-grained tasks may incur significant overhead, especially with the increased number of parallel workers of many-core architectures, while coarse-grained tasks may cause starvation. Determining a suitable grain size for a particular application is difficult. In this article we present our Java implementation of the X10 load balancing scheme. We extend it with a tuning mechanism which dynamically adjusts the task granularity, increasing the library's versatility and usability. We demonstrate the capabilities of our tuning mechanism to suit many-core clusters using four applications: Unbalanced Tree Search, Pentomino, the Traveling Salesman Problem, and N-Queens. We achieve near identical performance to the ideal fixed grain executions on the first three but suffer from a more significant performance gap on the N-Queens problem. We advance hypotheses as to why.

关键词： task-granularity auto-tuning many-core clusters load balancing distributed computation

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Resource Reservation in Backhaul and Radio Access Network with Uncertain User Demands 21

Resource Reservation in Backhaul and Radio Access Network wi...

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21st IEEE International workshop on Signal Processing Advances in Wireless Communications (IEEE SPAWC)

作者： Reyhanian, Navid Farmanbar, Hamid Luo, Zhi-Quan Univ Minnesota Dept Elect & Comp Engn Minneapolis MN 55455 USA Huawei Canada Res Ctr Ottawa ON Canada Chinese Univ Hong Kong Shenzhen Res Inst Big Data Shenzhen Peoples R China

ISBN: (纸本)9781728154787

We consider the problem of joint resource reservation in the backhaul and Radio Access Network (RAN) based on the user demand statistics and network availability. The goal is to maximize the sum of expected traffic flow rates, subject to link and radio node budget constraints, while minimizing the expected outage of wireless channels. The formulated problem turns out to be non-convex and difficult to solve to global optimality. We propose an efficient Block Coordinate Descent (BCD) algorithm to approximately solve the problem. To optimize with respect to each block of variables, a distributed decomposition approach is proposed. simulation results verify the efficiency and the efficacy of our proposed approach against two heuristic algorithms.

关键词： Resource reservation multi-path routing traffic maximization parallel computation

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4th EAGE workshop on High Performance Computing for Upstream in the Middle East: HPC through the 4th Industrial Revolution

4th EAGE Workshop on High Performance Computing for Upstream...

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4th EAGE workshop on High Performance Computing for Upstream in the Middle East: HPC Through the 4th Industrial Revolution

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.

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