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Present CFP : 2017
Aim and Scope
The conference will give an overview of the state of the art of the developments, applications, and future trends in parallel computing for both HPC and DIC (Data Intensive Computing). This encompasses all platforms, from IoT (Internet of Things) and Robotics to HPC systems, Clouds, Neuro and Quantum Computing.
The conference addresses all aspects of parallel computing, including applications, hardware and software technologies as well as languages and development environments.
Section 1: Architectures
New concepts for parallel computing architectures for all levels of parallelism, including:
Multicore and manycore systems
Accelerators, including GPUs, FPGAs
High performance systems, including Peta- and Exascale
Architectures for handling large data sets and DIC (Data Intensive Computing), including high speed storage systems
Energy saving designs
Brain Inspired Systems, including neurocomputing
Section 2: Software
Software for parallel computing platforms, including
Operating systems and middleware for all types of parallel architectures
Software engineering methodologies, methods and tools for developing and maintaining parallel software
Parallel programming languages, compilers, libraries and environments
Testing and debugging techniques and tools
Best practices of parallel computing on multicore, manycore and stream processors
Section 3: Algorithms
Design, analysis, and implementation of parallel algorithms for all application areas, emphasising the parallel computing aspects and focusing on issues such as:
Scalability and speedup
Efficient utilization of the memory hierarchy
Communication and synchronization
Section 4: Applications
The application of parallel computing to solve all types of business, industrial, scientific, and engineering problems using high-performance computing technologies, in particular:
Astronomy and Space
Health Science and Care
Geo- and Environmental Sciences
Exploration and Optimal use of Resources
Data intensive (Big Data) analytics and applications
Economic and Financial modelling
Learning Systems (Deep Learning) and AI
Automonous Transport Systems, incl. Self Driving Vehicles
Virtual and Augmented Reality (VR and AR).
The conference language is English.
Papers are presented in parallel sessions with 20 minutes available per presentation, with an additional five minutes for discussion.
Extended abstracts of ca. two pages should be submitted in electronic form by 28 February 2017.
Proposals are to be submitted in .pdf-format using the Conference Management tool.
Abstracts should clearly describe the contents of the proposed paper. The relevance and originality of the contribution must be described and the most important references included. At most five relevant keywords must be supplied. Also indicate the preferred topic area (section 1, 2, 3 or 4) from the list given above.
Full (draft) papers of accepted proposals are due by 31 July 2017.
Proposals for organising a mini-symposium are called for. Such proposals should give:
The proposed title of the symposium
The name and affiliation(s) of the organiser(s)
A short outline of the contents
The planned number of papers.
Proposals for organising a mini-symposium can be submitted by 31 March 2017 to the conference office. For any questions about the organisation of a mini-symposium please contact the conference office.
The conference proceedings will be published after the conference.
An invitation to (an) author(s) to present a paper at the conference is based on an extended abstract or draft paper. Thus, the presentation of a paper at the conference does not imply an automatic acceptance of the presented paper for publication in the conference proceedings. All papers presented at the conference will be refereed at or after the conference. Only accepted papers will be published.
All papers presented as part of mini-symposia will be considered for publication in the proceedings. This will be done in liaison with the organiser(s) of the respective mini-symposium.