The RePhrase team are pleased to announce that the HLPGPU 2018 workshop will be co-located at HiPEAC in Manchester on the 23rd January 2018. This will be an open technical workshop focussing on multi/many- core issues with heterogeneity. The workshop is sponsored by the RePhrase project. Watch this space for the call for papers!
International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2017)Colocated with the 23rd International European Conference on Parallel and Distributed Computing (Euro-Par 2017), in Santiago de Compostela, the capital of Galicia, Spain.
24.07.2017-Auto-DaSP workshop program available!
16.06.2017–Notification to authors moved to June 27th!
12.05.2017 –The workshop CFP is closed!
14.04.2017 –The CFP of the FGCS Special Issue is now available at this link.
03.04.2017 –Special issue of the best Auto-DaSP papers will appear on Elsevier FGCS!
06.03.2017 –The easychair submission link is now available.
03.03.2017 –A tentative Technical Program Committee is available.
01.03.2017 – The Call for Papers of Auto-DaSP 2017 is available.The workshop is supported by the Rephrase H2020 project.
Come and see us at our ParaFormance stand at HiPEAC today in Stockholm. Come and meet the ParaFormance team, learn about the research and technology we are producing and ask for a demo!
Check out ParaFormance at the website here: http://www.paraformance.com
We are delighted to showcase our ParaFormance (http://www.paraformance.com) tools at HiPEAC in Stockholm on the 23rd January 2017.
The tutorial will be an interactive session, giving you the chance the try out our ParaFormance tools on real code!
For more information:
We are pleased to announce our second project workshop will be co-located with HiPEAC in Stockholm, 23rd January 2017.
If you would like to submit a paper, the deadline is the 9th December.
The website for the HLPGPU 2017 workshop is below:
To find out more about our workshop, please click here.
HLPGPU aims to bring together researchers and practitioners to present new results and ongoing work on those aspects of high-level programming relevant, or specific, to GPGPUs and new architectures.