rCUDA 3.2 Now Released
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New Revolutionary Version of rCUDA to be Launched
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The rCUDA Team is proud to announce a new and revolutionary version of the rCUDA framework which will include many new functionalities as well as boosted performance. This new version, cooked for over a year, will incorporate pipelined transfers, full multi-thread and multi-node capabilities, CUDA 4.1 support, global scheduler integration, support for CUDA C extensions, and native InfiniBand support.
The capabilities of this new version were presented in the HPC Advisory Council Switzerland Conference 2012 http://www.hpcadvisorycouncil.com/events/2012/Switzerland-Workshop/Presentations/Day_2/13_rCUDA.pdf, where a live demonstration was played, letting the LAMMPS simulator accessing 12 GPUs spread across a cluster from a single node.
This version will be released under non-free license, although we will keep on maintaining the free version as usual. We estimate this new version to be available for free early testing on July 1st, althoug only selected institutions will be eligible for this purpose. If you are interested in early testing the new rCUDA, please proceed to the "Contact us" section and let us know.
Improvements In Our Website
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In our eagerness to overcome the eventual issues rCUDA users might find, we have introduced a new section on our website, in which you will find:
- Frequently asked questions (FAQs), where we will be adding more issues consulted by our users.
- A list of links to papers and magazines where you can find references to solutions and technical documentation on rCUDA.
- A forum where users can exchange ideas, problems and solutions, new approaches and everything that comes to mind regarding rCUDA.
We hope the new section is helpful for those interested in rCUDA.
The rCUDA Team
rCUDA 3.1.1 Now Released
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The new version 3.1.1 of rCUDA is now available. Release highlights:
*Fully updated API to CUDA 4.0 (added support for modules "Peer Device Memory Access" and "Unified Addressing").
*Fixed low level Surface Reference management functions.
*Added complete support for simple precision CUBLAS routines.
rCUDA in The HPC Advisory Council Switzerland Conference 2012
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Members of The rCUDA Team will present rCUDA latest news and practical information at The HPC Advisory Council Switzerland Conference 2012, to be held in Lugano, Switzerland from 13th to 15th of March. The presentation will be entitled "Accelerations hands-on: rCUDA, an approach to provide remote access to GPU computational power", and will take place on March 14th from 16:45 to 18:00.
rCUDA distribution re-start
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The rCUDA Team apologizes for the break on rCUDA distribution users might have experienced.
The delay has been caused by a distribution policy change: now rCUDA is not distributed as Open Source. Instead, it is distributed in binary format.
The process of preparing the different compilation environments and the new license has been an overhead to our continuous improvement tasks on rCUDA, which have not stopped at all during this period. We plan to re-start distributing a new version of rCUDA following the new distribution policy in a few days.
rCUDA 3.1.2 Now Released
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