Workshop on HPC for Science and Technology HPC-ST 2016

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活动简介

The purpose of this workshop is to present and discuss the state-of-the-art in implementing high-performance services with applications in different domains, such as environment, climate, chemistry, physics, biology, cultural heritage etc. The contributions should focus on applications needing high-performance computing, physical modeling of large-scale problems, and the development of scalable algorithms for solving large scale problems on modern parallel and distributed high-performance computing platforms, including multicore architectures, GPGPUs/GPUs, and clusters. Scalability studies of complex computing codes on HPC platforms and the tools and development environments facilitating improved scalability are also among the expected contributions.

征稿信息

重要日期

2016-06-25

初稿截稿日期

2016-08-01

初稿录用日期

2016-09-04

终稿截稿日期

征稿范围

Specific topics for this workshop include, but are not limited to, the following:

Multicore/manycore architectures
GPU support for applications
Parallelization of compute or data-intensive tasks
Data handling, integration and visualization in HPC
Tools and programming environments supporting high performance computing
Scheduling in high performance computing
Workflow management and remote collaboration for scientific applications
Benchmarks and mini-apps for new parallel programming models/languages
Runtime support for communication optimization: data-locality management, caching, and pre-fetching
Management and monitoring of runtime systems in dynamic environments.
System level support for high performance computing
Performance tools using programming model abstractions
Fault tolerance in parallel computing
Scalability of infrastructures and applications
Energy-aware algorithms and programming
Big Data and HPC integrated software stack
Problem-solving environments for large data
HPC applications in/for