Thanks Kevin. Can you give me some example/location of those script ?
Chester On Mon, Jan 26, 2015 at 5:47 PM, Kevin Lyda <[email protected]> wrote: > Right now (or at least last I checked, I've been working on a lot of > non-mesos stuff lately sadly), resources were determined by some > config files at slave start. Mesosphere's packaged mesos had some > pretty scriptable ones. > > You could add to those scripts to look for opencl and then use opencl > to generate resources that are more specific. > > Kevin > > On Mon, Jan 26, 2015 at 9:18 AM, Chester Kuo <[email protected]> wrote: >> Hi Tom >> >> Ya, the GPGPU resources needs to provided from slave , but we need to >> extend to have it to query GPGPU resources such as GPU devices >> (single or multiple) ,CU(compute unit) , global/local memory embedded >> in the slave node, with this info , framework can utilize it as we did >> of generic CPU/Memory. >> >> Besides i'd like to have OpenCL (https://www.khronos.org/opencl/) to >> help to query slave's capability and its more generic and portable, >> and i also plan to have other framework (such as Spark) have knowledge >> about GPGPU resources for computing performance up (Planning). >> >> >> Chester >> >> >> On Mon, Jan 26, 2015 at 4:48 PM, Tom Arnfeld <[email protected]> wrote: >>> Chester, you can specify arbitrary resources using the --resources flag to >>> the slave and Mesos will share out the resources to frameworks, and then >>> your framework can do as it pleases. >>> >>> >>> I'm not sure any changes are required in Mesos itself to support this, >>> unless I'm missing something. >>> >>> >>> -- >>> >>> >>> Tom Arnfeld >>> >>> Developer // DueDil >>> >>> >>> >>> >>> >>> (+44) 7525940046 >>> >>> 25 Christopher Street, London, EC2A 2BS >>> >>> On Mon, Jan 26, 2015 at 6:15 AM, Chester Kuo <[email protected]> >>> wrote: >>> >>>> Hi All >>>> I'd like to extend and add new feature into Mesos to support GPU >>>> resource allocation, so we can put OpenCL application/framework on top >>>> of Mesos and make it write once run across cluster. >>>> Why choose OpenCL, due to it was widely supported by Intel , Nvidia, >>>> AMD, Qualcomm GPGPU, so we may extended to have other framework (ex: >>>> Spark) can try to utilize GPGPU computing resource. >>>> Any Comments? >>>> Chester > > > > -- > Kevin Lyda > Galway, Ireland
