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Introduction

Supercomputers are rapidly evolving as advances in architecture and semiconductor technology. High performance computing has been applied to accelerate material advanced modelling and engineering. The current trend will provide challenges in parallelism because of increased processing units, accelerators, complex hierarchical memory systems, interconnection networks, storage and uncertainties in programming models. The interdisciplinary collaboration is becoming more and more important in high performance computation. Realistic material simulation needs to combine material modeling methods, mathematical models and parallel algorithms for exploiting supercomputers effectively. The workshop focuses on novel mathematical modeling, parallel algorithms, high performance computing tools and experiences in large-scale material science and engineering applications and supercomputers. The program aims at bringing different expertise including domain experts, applied mathematicians and computer scientists together to discuss the interdisciplinary research of modeling methods and parallel algorithm design for the simulation of materials performance on current and future supercomputers.

Call for paper

Submission Topics

The topics of interest include, but are not limited to the following: Numerical methods and parallel algorithms for material advanced modelling and engineering Use of hardware accelerators (MIC、GPUs、FPGA) and heterogeneous hardware in computational material science Mathematical modeling and high performance computing tools in large-scale material science and engineering applications Programming model for material algorithm scalability and resilience Visualization on material data Multi-scale Modeling and Simulation in Materials Science Big Data of Materials Science Large-scale material modeling based on the new features of message passing programming model
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Important Date
  • Conference Date

    Nov 15

    2015

    to

    Nov 21

    2015

  • Nov 21 2015

    Registration deadline

Sponsored By
中国科学院计算机网络信息中心