[hpc-announce] [CFP] MPP 2018: 7th Workshop on Parallel Programming Models - Special Edition on Edge/Fog/In-situ Computing
Leandro Marzulo
leandro.marzulo at gmail.com
Fri Nov 3 05:29:09 CDT 2017
Dear Colleagues,
Sorry for eventual multiple copies. Please disseminate the following CFP.
Best regards,
Leandro Augusto Justen Marzulo, D.Sc
----------------------------------------------
Associate Professor
Departamento de Informática e Ciência da Computação
Instituto de Matemática e Estatística
Universidade do Estado do Rio de Janeiro
MPP 2018: 7th Workshop on Parallel Programming Models - Special Edition on
Edge/Fog/In-situ Computing
Held in Conjunction with IPDPS 2018 - http://www.ipdps.org
Vancouver, Canada, May 25, 2018
Conference website http://www.mpp-conf.org
Submission link https://easychair.org/conferences/?conf=mpp2018
Submission deadline January 26, 2018
Author notification February 26, 2018
Camera ready March 15, 2018
Event venue JW Marriott Parq Vancouver Hotel
Topics: edge computing
<https://easychair.org/cfp/topic.cgi?tid=60052;a=16449142> fog computing
<https://easychair.org/cfp/topic.cgi?tid=1344715;a=16449142> in situ
computing <https://easychair.org/cfp/topic.cgi?a=16449142;tid=15126302>
parallel
programming models
<https://easychair.org/cfp/topic.cgi?a=16449142;tid=176127>
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
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.
CommitteesGeneral 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
- 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
- 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
- Mauricio Breternitz - Instituto Universitario de Lisboa, Portugal
- Matthew Sinclair - AMD Research, USA
- Michael Frank - LG Electronics, USA
- Per Stenstrom - Chalmers University of Technology, Sweden
- 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
The proceedings of MPP will be submitted to IEEE Xplore and Computer
Society Digital Library.
A journal special issue dedicated to the best papers of MPP 2018 is being
arranged. More details will be anounced soon.
Venue
MPP 2018 will be co-held with IPDPS, at the JW Marriott Parq Vancouver
Hotel, in Vancouver, Canada.
Contact
All questions about submissions should be emailed to Leandro Marzulo (
leandro.marzulo at gmail.com or leandro at ime.uerj.br)
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