#BOINC MULTIPLE GPU HOW TO#
#BOINC MULTIPLE GPU UPDATE#
#BOINC MULTIPLE GPU WINDOWS#

If this flag is set, this check is skipped. 0|1 Normally, the size of application and input files are compared with the project-supplied values after the files are downloaded, and just before starting an application. 0|1 If enabled, the client won't attach to new projects. NAME use the given name to identify this computer on project web sites. The coprocessor description is passed in scheduler RPC requests. Or so projects can offer app versions that use the coprocessor, with an appropriate plan class specification. In which case the name given in must match that in the element in app_info.xml. You can use this in combination with the Anonymous platform mechanism, If is specified, the coprocessor is not treated as a GPU e.g. is the peak FLOPS (or IOPS for integer processors) per instance. specify a coprocessor, such as an FPGA or a GPU not known to BOINC (i.e. platform_name Specify an alternate platform name, to be included in scheduler requests. 0|1 If 1, allow GUI RPCs from any remote host (see Controlling BOINC remotely). Each must run in a different data directory. 0|1 Allow multiple BOINC clients to run on a single host. Useful on grids where disk gets wiped after each run.

#BOINC MULTIPLE GPU UPDATE#

(default values will be used for any options not specified):Ġ|1 If 1, abort jobs and update projects when client exits. The section contains settings that control the behavior of BOINC To create or edit the file, use a text editor such as Notepad,Īnd save it in your BOINC Data directory or project directory. If the file is absent, the default configuration is used. The configuration is read from: cc_config.xml, nvc_config.xml, and (for each project) app_config.xml. When using the example, delete the square brackets. Note: square brackets in examples indicate optional parts. Some parameters can be controlled using different mechanisms Environment variables (mainly for Unix).Command-line options (mainly for Unix).There are three configuration mechanisms: They are also written to the file stdoutdae.txt (Windows) or to standard output (Unix). These messages appear in the Event Log of the BOINC Manager ↳ V7.5.The BOINC client can be configured to control its behaviorĪnd to produce more detailed log messages.↳ V7.6.x Public Release Windows/Linux/MacOS X.

#BOINC MULTIPLE GPU HOW TO#

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.

#BOINC MULTIPLE GPU WINDOWS#

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.

Boinc multiple gpu