Writing parallel applications is an arduous and non-trivial task, but also mandatory if one wants to explore the potential of modern multicore processors. This task becomes even harder as different computation devices, such as General Purpose Graphic Processing Units (GPGPUs), Many core processors, and Field Programmable Gate Arrays (FPGAs), are employed to build heterogeneous systems. This imposes new challenges to the scientific community: the creation of models and alternatives to ease parallelism exploitation by the average programmer, considering the peculiarities of the different computation devices.

Another important aspect to consider, specially in applications that run on big systems and manipulate big datasets, is the tradeoff between moving data to a remote processing element to increase parallelism and computing things locally to reduce communication and energy costs, while keeping performance levels. Edge, Fog and In-situ computing intend to tackle this issue by adding computing capabilities to network devices (such as NICs, switches and routers), storage devices or even memory. Those "smart" devices would be able to perform part of the computation that would reduce data transmission over the network and data busses. Moreover, current trend related to the Internet-of-Things predict that an increasing number of devices composed by sensors, actuators and processing elements will be spread around the world, while forming a huge network to collect relevant information to a broad range of applications. All the aforementioned aspects make computing systems even more heterogeneous, intensifying the need for novel programming models.

MPP aims at bringing together researchers interested in presenting contributions to the evolution of existing models or in proposing novel ones, considering the trends on processing/accelerator devices in the context of edge/fog/in-situ computing. MPP 2018 will be held in conjunction with The 32nd IEEE International Parallel and Distributed Processing Symposium (IPDPS 2018), in Vancouver, British Columbia, Canada, on May 25, 2018.


Submission Guidelines
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MPP invites authors to submit unpublished full papers on the subject. Submissions must be in English, 10 pages maximum, following the IEEE formatting guidelines. The 10-page limit includes references. Submission must be done electronically and following deadlines informed.


List of Topics
---------------

Topics of interest include (but are not limited to):
- Novel execution models and languages for parallelism exploitation;
- Languages, compilers and tools;
- Heterogeneous programming models;
- Synchronization Mechanisms, such as Transactional Memories;
- Smart memories;
- Load-balancing, Scheduling and Placement for Edge/Fog/In-situ Computing;
- Novel Parallel Programming Techniques for Edge/Fog/In-situ Computing;
- Novel Parallel Architectures for Edge/Fog/In-situ Computing;
- Resilience and Fault Tolerance for Edge/Fog/In-situ Computing;
- Theoretical Analysis of Parallelism;
- Smart storage;
- Smart Switches and Smart NICs;
- Software defined Networks for Edge/Fog/In-situ Computing;
- Applications for Edge/Fog/In-situ computing;
- Data Stream Processing.


Committees
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General co-chairs
- Leandro A. J. Marzulo - Universidade do Estado do Rio de Janeiro (UERJ), Brazil
- Felipe M. G. França - Universidade Federal do Rio de Janeiro (UFRJ), Brazil

Program Co-chairs
- Cristiana Bentes - Universidade do Estado do Rio de Janeiro (UERJ), Brazil
- Gabriele Mencagli - University of Pisa, Italy

Steering Co-chairs
- Andrew Putnam - Microsoft Research, USA
- Mauricio Pilla - Universidade Federal de Pelotas, Brazil

Steering Committee (under construction)
- Daniel Mosse - University of Pittsburgh, USA
- Edson Borin - Universidade Estadual de Campinas (UNICAMP), Brazil
- Eugene Vinod - Universidade Federal Fluminense (UFF), Brazil
- Guido Araújo - UNICAMP, Brazil
- Inês Dutra - Universidade do Porto, Portugal
- Lúcia Drummond - Universidade Federal Fluminense (UFF), Brazil
- Nader Bagherzadeh - University of California Irvine, USA
- Nelson Amaral - University of Alberta, USA
- Rodolfo Azevedo - UNICAMP, Brazil
- Sandip Kundu - University of Massachusetts Amherst, USA
- Vladimir Alves - NGD Systems, USA

Program Committee
- Aletéia Araújo - Universidade de Brasília, Brazil
- Alexandre da Costa Sena - Universidade do Estado do Rio de Janeiro (UERJ), Brazil
- Alexandre Solon Nery - Universidade do Estado do Rio de Janeiro (UERJ), Brazil
- Bruce Childers - University of Pittsburgh, USA
- Carla Osthoff - Laboratório Nacional de Computação Científica (LNCC), Brazil
- Claudia Di Napoli - CNR, Italy
- Claude Tadonki - Mines - ParisTech, France
- Cristina Boeres - Universidade Federal Fluminense (UFF), Brazil
- Dalvan Griebler - Pontifícia Universidade Católica do Rio Grande do Sul, Brazil
- Diego Dutra - Universidade Federal do Rio de Janeiro (UFRJ), Brazil
- Eduard Ayguadé - Technical University of Catalunya (UPC), Spain
- Edward Moreno - Universidade Federal do Sergipe, Brazil
- Elias Mizan - Synaptics, USA
- Gabriel Paillard - Universidade Federal do Ceará (UFC), Brazil
- Igor Machado Coelho - Universidade do Estado do Rio de Janeiro (UERJ), Brazil
- Katia Obraczka - University of California Santa Cruz, USA
- Kary Främling - Aalto University, Finland
- Krommydas Konstantinos - Intel, USA
- Luciana Arantes - Université Paris 6 Pierre et Marie Curie, France
- Luiz de Rose - Cray, USA
- Maria Clicia Stelling de Castro - Universidade do Estado do Rio de Janeiro (UERJ), Brazil
- Mario Dantas - Universidade Federal de Santa Catarina (UFSC), Brazil
- Matthew Sinclair - AMD Research, USA
- Mauricio Breternitz - Instituto Universitario de Lisboa, Portugal
- Michael Frank - LG Electronics, USA
- Per Stenstrom - Chalmers University of Technology, Sweden
- Rafael dos Santos - ARM, United Kingdom
- Rekai Gonzalez Alberquilla - ARM, UK
- Roberto Souto - Laboratório Nacional de Computação Científica (LNCC), Brazil​​
- Tiago A. O. Alves – Universidade do Estado do Rio de Janeiro (UERJ), Brazil
- Walfredo Cirne - Google, USA
- Walid Najjar - University of California Riverside, USA
- Zehra Sura - IBM, USA


Publication
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​The proceedings of MPP will be submitted to IEEE Xplore and Computer Society Digital Library.

The best MPP 2018 papers will be invited to submit extended versions of their work to Elsevier Parallel Computing - Special Issue on Data Stream Processing in HPC Systems: new frameworks and architectures for high-frequency streaming.


Venue
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MPP 2018 will be co-held with IPDPS, in Vancouver, Canada. Venue is yet to be defined.


Contact
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All questions about submissions should be emailed to Leandro Marzulo (leandro.marzulo@gmail.com or leandro@ime.uerj.br)