2018 大数据大规模计算研讨会
[基本信息]
会议名称:2018 大数据大规模计算研讨会
Workshop on Big Data Meets Large-Scale Computing
所属学科:计算数学与科学工程计算,应用数学,计算机应用技术
开始日期:2018-09-24
结束日期:2018-09-28
所在国家:美国
所在城市:美国
具体地点:美国 Los Angeles, CA
主办单位:The Institute for Pure and Applied Mathematics (IPAM)
[会务组联系方式]
E-MAIL:BDCWS1@ipam.ucla.edu
会议网站:http://www.ipam.ucla.edu/programs/workshops/workshop-i-big-data-meets-large-scale-computing/
[会议背景介绍]
Increasingly large data sets are being ingested and produced by simulations. What experience from large-scale simulation is transferable to big data applications? Conversely, what new optimal algorithms will emerge that are motivated by data-intensive applications being pushed to large scales? How will they enrich traditional simulation? As long as the software stacks, production facilities, and even developer and user communities remain separate, many opportunities for mutual enhancement will be unrealized. This workshop will discuss:
benefits of in situ convergence of simulation, analytics, and machine learning
steering in high-dimensional parameter space
smart data compression
data-driven modeling (e.g., refinement of empirical functions through learning)
physics-based “regularization” of analytics
simulation as a source of training data
learning to impute missing data
evolving requirements of high-performance analytics and simulation
scalable hierarchical algorithms for analytics and simulation
detecting and exploiting data sparsity
open problems, where no scalable methods yet exist
The workshop will bring together analysts and developers of computationally and data-intensive applications interested in early exploitation of extreme-scale computing platforms to define common ground and seek new opportunities.