Parallelism permeates all levels of current computing systems, from single CPU machines, to large server farms, supercomputers, clouds, and even Internet-based volunteer computing infrastructures. The effective use of parallelism depends crucially on the availability of faithful, yet tractable, computational models for algorithm design and analysis, and of efficient algorithmic strategies for solving key computational problems on prominent classes of platforms. Equally important are good models for the interconnection and the interaction of different system components. With the development of new genres of computing platforms, such as multicore parallel machines, desktop grids, clouds, and hybrid GPU/CPU-based systems, new computational models and paradigms are needed that will allow parallel programming to advance into mainstream computing.
High-quality, original papers are solicited which contribute new results on foundational issues regarding parallelism in computing, and/or propose novel algorithms for the solution of specific computational problems. Topics of interest include, but are not limited to, the following:
Andrea Pietracaprina, University of Padova, Italy
Pedro Ribeiro, University of Porto, Portugal
Kieran Herley, University College Cork, Ireland
Sergei Vassilvitskii, Google, USA