Unfortunately the http://download.par4all.org URL is no longer working.
To do: move this to GitHub too.
To cite Par4ll in a publication about GPUs code generation, the best references are:
You may find also some other publications on the WWW pages of the authors and on http://www.cri.ensmp.fr/classement/2014.html
2012/07/04 – Overview of HPC
Ronan Keryell @ Linux Cluster Institute 2012, Université Montpellier 2, Centre de compétences, Montpellier, France
2012/04/23 – Par4All: From Sequential Applications to Heterogeneous Parallel Computing
Ronan Keryell @ Meetup of HPC & GPU Supercomputing Group of Silicon Valley, Moffett Field, CA, USA
2012/01/25 – Par4All: Open source parallelization for heterogeneous computing OpenCL & more
Ronan Keryell @ HPC & GPU Supercomputing Group of Paris Meetup, Paris, France
2012/01/24 - Par4All: Open source parallelization for heterogeneous computing OpenCL & more
Ronan Keryell @ HiPEAC 2012 / Workshop OpenGPU, Paris, France
2009/10/01 – Par4All: Auto-Parallelizing C and Fortran for the CUDA Architecture
A presentation of Par4All by Ronan Keryell at the nVidia GPU Technology Conference in San José, Ca. Printer friendly version
2009/07/01 – GPU & Open Source
Presentation by Ronan Keryell from HPC Project at the OpenGPU session at the Ter@tec Forum 2009, 2009/07/01. Printer friendly version
ESWEEK 2009 Panel: compilers for embedded systems
The contribution of Ronan Keryell to the panel at ESWEEK, 10/14/2009 in Grenoble. Printer friendly version