Workshop on HPC for Science and Technology
in the framework of
19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
September 21 – 24, 2017
+ Submission of papers: July 25, 2017 (hard deadline)
+ Notification of acceptance: August 10, 2017
+ Registration: September 1, 2017
+ Final paper: September 1, 2017
+ Revised papers for post-proceedings: November, 2017
+ Dana Petcu, West University of Timisoara, Romania
+ Daniel Pop, West University of Timisoara, Romania
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.
Furthermore, during the workshop the participants will have the opportunity to discuss and share the latest research in parallel and distributed high performance computing systems applied to scientific and technical problems. The emphasis of this workshop will be on running complex realistic applications at sustained performance in production-grade HPC environments but also on the transfer of HPC expertise toward industry, particularly SMEs.
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:
– climate modelling and weather forecasting
– remote sensing data processing
– biological and health data processing
– content management systems and digital libraries
We invite submissions of up to 8 pages (in CPS Conference Style) which must contain original research results not submitted and not published elsewhere. The submitted papers will be refereed and accepted on the basis of their scientific merit and relevance to the Workshop topics.
The papers should be electronically submitted through EasyChair.
The papers accepted for presentation will be included in a locally edited proceedings (electronic version on a memory stick). Accepted research papers should be presented at the conference and the best papers will be selected for publication in the post proceedings published by Conference Publishing Services.
Extended versions of the papers accepted and presented at the workshop will be considering to be published as a special issue in SCPE – Scalable Computing: Practice and Experience (SCOPUS and WoS indexed). Other possibilities for publication will be formulated soon after the workshop.
- George Gravvanis, Democritus University of Thrace, Greece
- Helen Karatza, Aristotle University of Thessaloniki, Greece
- Aneta Karavainova, Bulgarian Academy of Science, Bulgaria
- Ioannis Liabotis, GRNET, Greece
- Ralf-Peter Mundani, Technische Universität München, Germany
- Thomas Rauber, University Bayreuth, Germany
- Emil Slusanschi, University Politehnica of Bucharest, Romania
- Roman Wyrzykowski, Czestochowa University of Technology, Poland