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1. #Boinc multiple gpu how to#
2. #Boinc multiple gpu update#
3. #Boinc multiple gpu code#
4. #Boinc multiple gpu download#
5. #Boinc multiple gpu windows#

Your mileage may vary, as factors like CPU speed and numer of threads have an impact on performance. For example if you have 8 CPU threads and want to use 2 for other projects you can set the value for HCC max_concurrent to 6. Max_concurrent can be used to limit the HCC WU. If you get an error about app_name not found in file, check the numbers you entered are correct and perhaps reset the project.

#Boinc multiple gpu download#

I found that in switching from app_info it sometimes doesn't download any WU but once you hit the "update" button a few times it all looks normal.

#Boinc multiple gpu windows#

(Default Windows 7: C:\Program Data\BOINC\Data\projects\ (Default Windows XP: C:\Documents and Settings\All Users\Application Data\BOINC\Data\projects\ Ĭheck the event log (ctrl+shift+e) for any errors. Save the file as "app_config.xml" into your WCG project folder.Total CPU Threads / Total GPU WU = cpu_usage The default value is 1, but if you want to run more GPU WU than you have CPU cores edit it accordingly. cpu_usage: This specifies the % use of CPU threads per GPU WU.Set this according to how many WU you want to run per GPU. gpu_usage: This specifies the % use of the GPU per WU.Best to set this to the number of total HCC1 WU your computer will be doing at a time. max_concurrent: This specifies the maximum number of WU the app can run at a time.Edit the following according to your setup:.

#Boinc multiple gpu how to#

This is achieved by creating a file called app_config.xml to detail how to use your hardwareīefore creating the app_config.xml file you will need: This can increase the output of both your PPD (point per day) and the runtime per day. This guide will show you how to get better performance from your GPU by running more than 1 WU at a time.

#Boinc multiple gpu code#

This is much simpler, with no AMD/NVIDIA specific code and avoids a lot of issues we encountered in the pastīy default World Community Grid is setup to run a single GPU WU on your machine. Please check the prerequisites list below and use the new setup guide. Users of app_info.xml method: This method will not be supported by WCG in the future.

#Boinc multiple gpu update#

↳ V7.5.DISCLAIMER: Use this at your own risk! It is entirely down to each user to update as needed!.↳ V7.6.x Public Release Windows/Linux/MacOS X.

Try it, and once you figure out how to get a valid report, do let us know what you find. With a large protein, FAH is probably a GPU hog. If you have a Turing GPU with lots of shaders, they are known to run with reduce utilization if you happen to be assigned a project with a small number of atoms so it would probably relish a bit of sharing. (Somebody else should comment if they know what AMD has done with that concept or you can Google it, if you happen to have an AMD GPU.)įAH is designed to use as close to 100% of the GPU as is possible - and I suppose BOINC is, too. The idea being that if FAH has submitted a kernel that runs for a couple of seconds and WIndows wants to update the screen, you really don't want to sit there and wait a second or two to see the cursor or mouse respond to your input. NVida finally accepted the fact that interrupting a kernel maight be a good thing when the designed their Pascal series. Except for recent generations of GPUs, there is no capability for a block of work to te interrupted by another block of work (known as kernels). It doesn't have an operating system that you can manage with priority settings it just accepts work FIFO. We've gotten quite a few questions about CPU sharing and I've answered that question quite a few times, personally, but that's not the same thing as GPU sharing. I don't remember anybody asking that question before. The_Bad_Penguin wrote:So, the $1,000,000 question is, how much of an impact would suffer if I was to add a Boinc GPU project that would also use GPU1?Ĭould they share it 50% / 50%? Or would one project use it 100%, then stop, and then the other project would use it 100% and the stop, and then the first project would again use it 100%, etc.ĭon't understand if the GPU is analogous to a multi-core/multi-thread CPU, where the CPU resources can be shared between multiple projects and Boinc concurrently) and everybody seems to play nice with each other.