posted by organizer: davidcastells || 1874 views || tracked by 9 users: [display]

HIP3ES 2017 : International Workshop on High Performance Energy Efficient Embedded Systems (5th Edition)

FacebookTwitterLinkedInGoogle

Link: https://www.hipeac.net/events/activities/7428/hip3es/
 
When Jan 25, 2017 - Jan 25, 2017
Where Stockholm, Sweden
Submission Deadline Dec 16, 2016
Notification Due Dec 23, 2016
Final Version Due Jan 13, 2017
Categories    parallel computing   embedded   computer architecture   resource management
 

Call For Papers

HIP3ES 2017
International Workshop on High Performance Energy Efficient Embedded Systems (5th Edition)

Stockholm, Sweden, Wednesday, Jan 25th 2017.
Co-Located with HiPEAC 2017
---------------------------------------------------------------------------------------
AIMS AND SCOPE

HIP3ES aims at providing a high-quality forum to bring together researchers and practitioners to present new results and ongoing work on aspects related to high-performance and energy efficient embedded systems.

Topics of interest include, but are not limited to:
- Low Power High Performance Embedded Systems
- Resource Management in Many-core systems
- Runtime support for Many-core systems
- Virtualization in embedded systems
- Language and development tool-chains for High Performance Embedded Systems

IMPORTANT DATES
- Submission: December 16th, 2016
- Notification: December 23th, 2016
- Final Version: January 13th, 2017
- Workshop: 25th January, 2017

ORGANIZERS
David Castells-Rufas (david.castells@uab.es) (Universitat Autònoma de Barcelona, Spain) and
Cédric Bastoul (cedric.bastoul@unistra.fr) (University of Strasbourg, France)

PROGRAM COMMITTEE
- Alex Duran (Intel, Spain)
- Antoni Portero (IT4Innovations National Supercomputing Center, Czech Republic)
- Carlos Valderrama (Université de Mons, Belgium)
- Chang-Won Ahn (ETRI, Korea)
- Detlef Scholle (Alten, Sweden)
- Eduard Fernandez-Alonso (Recore Systems, Netherlands)
- Elisabeth Brunet (Telecom Sud Paris, France)
- Giovanni Agosta (Politecnico di Milano, Italy)
- Jaume Joven (U-Blox, Switzerland)
- Miquel Izquierdo (Solarflare, UK)
- Orlando Moreira (ST-Ericsson, Netherlands)
- Pablo P. Sanchez (Universisty of Cantabria, Spain)
- Rafael Asenjo (Universidad de Malaga, Spain)
- Stefan Wagner (University of Stuttgart, Germany)
- Thomas Soddemann (Fraunhofer SCAI, Germany)
- Vincent Loechner (University of Strasbourg, France)
- Yves Durand (CEA LETI, France)
- Jordi Carrabina (Universitat Autònoma de Barcelona, Spain)



SUBMISSION
Papers must be submitted online via EasyChair:
https://www.easychair.org/conferences/?conf=hip3es2017

Submitted papers should be in portable document format (PDF), formatted using
the ACM SIG Proceedings style guidelines (http://www.acm.org/sigs/publications/proceedings-templates). The text should be in a 9pt font in two columns; the length is restricted to 4-10 pages.

Proceedings will be available to all HiPEAC attendees and will be published online through http://arxiv.org

WEBSITE
https://www.hipeac.net/events/activities/7428/hip3es/

Related Resources

HPDC 2018   The 27th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'18)
ACIIDS 2018   10th Asian Conference on Intelligent Information and Database Systems
Euro-Par 2018   European Conference on Parallel Processing
HPDC 2018   The 27th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'18)
HIP3ES 2018   6th International Workshop on High Performance Energy Efficient Embedded Systems (HIP3ES 2018)
EMC^2 2018   Workshop On Energy Efficient Machine Learning And Cognitive Computing For Embedded Applications
IEEE TC Special Section on NVM 2018   IEEE Transactions on Computers Special Section on Emerging Non-volatile Memory Technologies: from Devices to Architectures and Systems
GREEN 2018   The Third International Conference on Green Communications, Computing and Technologies
CMSB 2018   16th International Conference on Computational Methods in Systems Biology
APDCM 2018   20th Workshop on Advances in Parallel and Distributed Computational Models