会议名称(中文)： 第一次国际高级建模与仿真材料高性能计算研讨会
会议名称(英文)： The First International Workshop on High Performance Computing for Advanced Modeling and Simulation of Materials (HPCMS 2015)
所属学科： 计算数学与科学工程计算,计算机科学理论,计算机应用技术,控制系统仿真技术
开始日期： 2015-11-15
结束日期： 2015-11-21
所在国家： 美国
所在城市： 美国
具体地点： Austin, Texas, USA
主办单位： 中国科学院计算机网络信息中心
会议背景介绍：
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.
征文范围及要求：
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 |
