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43 musica instrumental para videos corporativos gratis year-old Telecommunications Complex Specialist or Technologist Malcolm Franceschini from...


CPU usage in GPU apps
The new CUDA app 1.03 does not use the CPU core anymore except for the computation of the atomic ensemble in the beginning.
The new OpenCL app 1.03 has a command line option --nowait which when specified reduces the CPU load to zero but at the same time makes the system almost unusable due to lagging. If you do not use the system while crunching, you may add this to your app_config.xml:

<app_version> <app_name>xansons_gpu</app_name> <plan_class>opencl_ati_102_windows</plan_class> <cmdline>--nowait</cmdline> </app_version>

Replace 'opencl_ati_102_windows' with the appropriate plan class: opencl_ati_102_mac, opencl_ati_102_linux, opencl_intel_gpu_102_windows, opencl_intel_gpu_102_linux, opencl_intel_gpu_102_mac or opencl_nvidia_102_linux.

All OpenCL 1.03 versions are marked as beta due to potential memory leak problem.

Update 2
The 1.03 app uses exactly the same amount of memory as 1.02 does, so there is no memory leak. The memory consumption depends on the WU. Those tasks which have 'solid_material' in their names may consume up to 1.5 GB of memory depending on the initial data. Please take this into consideration when launching multiple WUs in parallel.
I'll try to reduce memory consumption in the next version. 25 Jun 2017, 23:13:15 UTC · Comment

Maintenance is over!
The project is restarted with new native BOINC apps and additional computational scenario.

Now the large WUs can be assigned only to the GPU and the small ones only to the CPU.

GPU apps do not require dedicated CPU core by default anymore. If you notice any performance issues caused by this, consider using custom app configuration. Place this file in the project's folder.

The apps of this project do not make checkpoints. If stopped, the task will be restarted from the beginning. The task execution time should not exceed 10 minutes for moderate PCs. However, some tasks may take longer to complete on low-end PCs. This is particularly true for low-end GPUs. If the execution time of tasks is unacceptably high for your GPU, consider disabling it in the "Preferences for this project" in your profile page.

The project is in beta-testing stage. Bugs are more than likely. However, all the results obtained during this stage will be included in the final database If no critical errors are found.

Thank you for participating!
18 Jun 2017, 18:09:05 UTC · Comment

Project restart in June
The maintenance is almost over. The new native BOINC apps are being tested in the local network now. We expect the project to be restarted at the end of next week. This will be preceded by server and storage upgrade. The work on the database is still in progress and will continue in parallel with the computations.

Also, the paper “XANSONS for COD: a new small BOINC project in crystallography” was accepted for presentation at the BOINC:FAST’2017 conference which is to be held in Petrozavodsk, Russia in August.
5 Jun 2017, 21:46:33 UTC · Comment

XaNSoNS is published in SoftwareX
The article about XaNSoNS, the software this project is based on, has been published in the peer-reviewed scientific journal SoftwareX. The article is open-access and can be found here.

The paper was submitted to the journal about a month before this project was launched, so I was able to add only a brief mention of the BOINC project during the revision process.
7 Feb 2017, 19:27:29 UTC · Comment

The number of project team members has doubled!
Nikolay Khrapov agreed to join the project in 2017 as a developer of the diffraction pattern database. He will also help with the system administration. Nikolay is known to the BOINC community primarily as the system administrator for the SAT@Home project. Now things will get easier!

Happy New Year!
31 Dec 2016, 14:49:01 UTC · Comment

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