International Conference on Parallel Computing, Bologna, Italien

Abbrevation

ParCo

Link

http://www.parco.org/

City

Bologna

Country

Italy

Deadline Paper

2017-07-31

Start Date

2017-09-12

End Date

2017-09-15

Abstract

ParCo2017 is a continuation of the international conference on parallel computing and HPC started in 1983. Since their inception the ParCo conferences stimulated the development and application of parallel computers on a world–wide scale. The conference aims to give participants multiple opportunities to meet and interact with fellow researchers. The high scientific standard of the conference presentations and the refereed proceedings are a hall–mark of ParCo. AIMS 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. TOPIC AREAS Section 1: Architectures New concepts for parallel computing architectures for all levels of parallelism, including: * Multicore and manycore systems * Heterogeneous 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 * Interconnection networks * Performance evaluation * Energy saving designs * Brain Inspired Systems, including neurocomputing * Quantum Computers. 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 * Data Management. 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 * Material Science * Exploration and Optimal use of Resources * Manufacturing * Data intensive (Big Data) analytics and applications * Economic and Financial modelling * Learning Systems (Deep Learning) and AI * Robotics * Automonous Transport Systems, incl. Self Driving Vehicles * Virtual and Augmented Reality (VR and AR).