Abbrevation
PDP
City
St. Petersburg
Country
Russia
Deadline Paper
Start Date
End Date
Abstract

Parallel, Distributed, and Network&#8211;Based Processing has undergone impressive change over recent years&#046; New architectures and applications have rapidly become the central focus of the discipline&#046; These changes are often a result of cross&#8211;fertilisation of parallel and distributed technologies with other rapidly evolving technologies&#046; It is of paramount importance to review and assess these new developments in comparison with recent research achievements in the well&#8211;established areas of parallel and distributed computing, from industry and the scientific community&#046; PDP 2017 will provide a forum for the presentation of these and other issues through original research presentations and will facilitate the exchange of knowledge and new ideas at the highest technical level&#046;<br>Topics of interest include, but are not restricted to:<br>Parallel Computing: massively parallel machines; embedded parallel and distributed systems; multi&#8211; and many&#8211;core systems; GPU and FPGA based parallel systems; parallel I/O; memory organisation&#046;<br>Distributed and Network&#8211;based Computing: Cluster, Grid, Web and Cloud computing; mobile computing; interconnection networks&#046;<br>Big Data: large scale data processing; distributed databases and archives; large scale data management; metadata; data intensive applications&#046;<br>Models and Tools: programming languages and environments; runtime support systems; performance prediction and analysis; simulation of parallel and distributed systems&#046;<br>Systems and Architectures: novel system architectures; high data throughput architectures; service&#8211;oriented architectures; heterogeneous systems; shared&#8211;memory and message&#8211;passing systems; middleware and distributed operating systems; dependability and survivability; resource management&#046;<br>Advanced Algorithms and Applications: distributed algorithms; multi&#8211;disciplinary applications; computations over irregular domains; numerical applications with multi&#8211;level parallelism; real&#8211;time distributed applications&#046;<br>